Skill Me Up expert on-demand Certification training for Microsoft Azure, AWS, Linux and Much More! AZ-103, AZ-203, AZ-300, AZ-301 all on-demand with live lab environments.Live Course Schedule
In this learning path, you will learn how to build and architect big data solutions in Microsoft Azure. Topics will include architecting solutions using HD Insight, machine learning, visualizing data with Power BI, understanding lambda architecture patterns and IoT data ingestion. This path will help you prepare for exam Designing and Implementing Big Data Platform Solutions - exam 70-475 and will help you prepare for your MIcrosoft certification.
In this learning path, you will learn how to build and architect SQL focused solutions in Microsoft Azure. Topics will include SQL Server in Azure IaaS, SQL Database and SQL Data warehouse. This course will help you prepare for exam 70-473 Implementing Cloud Data Platform Solutions and prepare for your Microsoft certification.
This learning path will teach the basics of using and administering Linux systems. The focus is on distro-independent fundamentals, including: installing and managing Linux software, using essential Linux commands, understanding and modifying the boot process, device and kernel management, basic scripting, configuring services, user and group management, system monitoring, networking and storage management, virtualization. This path will prepare students to pass the Linux Foundation Certified Linux System (LFCS) Administrator exam through on-demand training and real-time hands-on exercises.
This learning path contains a collection of courses and hands-on labs designed to help you pass the exam AZ-203 Developing Solutions for Microsoft Azure. More classes will be added shortly!
In this learning path, you will learn key concepts about the cloud and various Microsoft Azure Services. From there, you will learn core concepts such as various PaaS and IaaS services including management tools. This course will also cover several key concepts for security and compliance, as well as a brief look at a Azure pricing and support. This course will help you prepare for AZ 900 Microsoft Azure Fundamentals.
This path contains courses and labs designed to help you learn about performing data science using services in Microsoft Azure such as Azure ML.
In this learning path, you will learn core capabilities of Windows Server 2019. These courses will provide you a solid foundation for deploying and administering Windows Server 2019 as well as help you prepare for Exam 98-365 Windows Server Administration Fundamentals.
In this learning path, you will learn how to manage Azure Subscriptions and resources, Implement and Manage Storage, Deploy and Manage Virtual Machines, Configure and Manage Virtual Networks, Configure Load Balancing, Monitor and Troubleshoot Azure Networks and you will learn the foundations of setting up hybrid networking. This path will help prepare you to pass AZ 103 Azure Administrator.
Courses and hands-on labs designed to help you pass Microsoft's AZ 400 Microsoft Azure DevOps Solution Certification. Learn the foundations of Azure DevOps in this complete learning path that is designed to teach you the ins-and-outs of continuous integration and deployment, pipelines, automation and much more!
This course prepares you to pass the AWS Certified SysOps Administrator Associate Exam. The course covers the knowledge requirements for the exam as defined by the exam blueprint. It also has hands on lab and real-life examples to help you understand the features and how to put them to use.
This track has a collection of demonstrations, presentations, and interactive labs designed to prepare you for the Microsoft DP-100 exam.
In this learning path, you will learn key concepts about the cloud and various Microsoft Cloud Services and Microsoft 365 offerings. From there, you will learn foundational concepts of using Windows 10 + Enterprise Mobility and Security with Microsoft 365. This course will also cover several key concepts for security and governance, a brief introduction to private cloud concepts as well as licensing in Microsoft 365. This course will help you prepare for MS 900 Microsoft 365 fundamentals.
Students who complete the courses in this learning path will be able to analyze the requirements for AI solutions in Microsoft Azure, recommend the appropriate tools and technologies to implement AI solutions in Microsoft Azure, and implement those solutions in a manner that meet scalability and performance requirements. Students who complete each course in this learning path are on their way towards gaining the knowledge necessary to complete the AI-100 exam. (https://www.microsoft.com/en-us/learning/exam-ai-100.aspx).
The Network+ exam is a rigorous certification that requires much study and planning. The goal of this track is to prepare the student to pass the test as quickly as possible with the best data retention. You will be able to gain all the knowledge necessary to pass the certification test by watching this video series and its 10 courses.
This course covers LAN and WAN topics, we will discuss what happens to packets as they traverse the network. We will also cover TCP/IP classes and what they mean to connectivity. We will finish with discussing WAN technologies both past and present. We will discuss analog and digital connectivity and the various ways ISP’s connect us to the internet.
This course will cover advanced networking a high-end consultant might implement in their day to day job in networks and security. We cover splitting up networks into virtual LANs, encrypting the stream using virtual private networks, and devices that can inform us of an impending intrusion.
This course introduces a couple of application integration services offered by AWS. Simple Queue Service (SQS) is a message queuing service whereas Simple Notification Service (SNS) is the messaging service. Both services offer decoupling of distributed systems and microservices.
This course introduces a couple of other compute services offered by AWS. Elastic Beanstalk service enables you to upload your web application code, and it automatically takes care of deployment and management. Lambda service enables you to run your code without provisioning and managing any servers which means zero administration.
This is a comprehensive coverage of EC2, as it is a major topic across the exam. This course starts with the launching of EC2 instances, configuring access to them, setting security followed by EBS volumes and their encryption. This course then discusses load balancers, the auto scaling feature and command line interface.
This course instructs you on Route 53, the DNS service from AWS (as it shows the different policies available), how to register a domain name as well as routing setup to your EC2 instances. This course introduces CloudFront, AWS’ Content Delivery Network (CDN) service and demonstrates how to create a CDN and use it with S3 to serve a static website. API Gateway service enables you in creating and managing an API for applications running in AWS resources. Direct Connect service enables you in establishing a dedicated private network connection between AWS and your on-premises datacenter.
This course discusses storage on AWS on different levels and usages. This course guides through S3 and Glacier to include identifying the use case for each, using version control and region replication, and the lifecycle on S3. Storage Gateway, Snowball and their usages are also covered in this course.
This course introduces the architecture of default VPC and the creation of VPC with CIDR notation. This course covers the routing and security features such as Route Table, Network Access Controls Lists and Security Groups. It also introduces you to NAT gateways and NAT instances as well as features such as VPC Peering and VPC Flow Logs.
This is the first course of the AI-100 Exam Preparation Learning Path. In this course, we will discuss all the different APIs available and appropriate use cases for each API,we will discuss the various tools, technologies, and processes available to secure your AI data, andwe will discuss the various analytics solutions, storage solutions, and other services available to create an end to end solution.
In this module, attendees will learn how to design solutions using Azure Infrastructure as a Service Components. This module will focus on core capabilities, use cases, and general best practices as well as discuss peripheral services such as Azure Backup and Site Recovery.
This course covers the importance of AWS certification, the process of scheduling the exam, its structure and question types, and it provides references to the practice tests.
This course dives into using various management tools offered by AWS. CloudWatch is the monitoring service which helps you in monitoring your AWS resources. CloudTrail service enables you in logging and monitoring the event history of your AWS account. CloudFormation service enables you in describing your infrastructure and provisioning the resources. Trusted Advisor helps in optimizing your environment, reducing cost, increasing performance and improving the security of your AWS resources.
This course is centralized on IAM’s role across AWS services and how it is used to provide authentication, authorization and access control to all other components. It also covers features such as Multi-Factor Authentication (MFA) and Secure Token Service (STS).
AWS Technical Essentials introduces you to AWS products, services, and common solutions. It provides you with fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements and get started working on AWS. This course starts with an introduction to the course and Cloud Computing, and it will then delve into the details of AWS Services, Identity and Access Management, S3, EC2, VPC and Database.
This course dives into the various categories of AWS Whitepapers. The most important category, the Well-Architected Framework, has been developed to help Cloud Architects build the most secure, high-performing, resilient, and efficient infrastructure possible for their applications. This framework provides a consistent approach for customers and partners to evaluate architectures, and it provides guidance to help implement designs that will scale with your application needs over time.
This course will be a deep dive into Azure SQL Database performance. We will look at designing an Azure SQL Database architecture for performance. We will look at performance specific features of Azure SQL Database. We will also cover monitoring and troubleshooting.
This module will cover all aspects of big data storage and batch processing. We will start by making the case for big data in Azure. Then we will look at Azure service topics to include Blob Storage, Azure Data Lake Store, Azure Data Lake Analytics, and HDInsight clusters running Hadoop, Hive, Interactive Hive (LLAP) and Spark. Storage topics will focus on choosing the right storage, configuring storage and storage optimization. We will also cover Big Data scenarios including batch processing, interactive clusters, multi-cluster deployments and on-demand clusters.
This course gives you a working demonstration of setting up a real-world network using computers, switches and servers. We will discuss the different ways that the networks can be connected to the host devices and show how they communicate.
This course will discuss cloud and mobile devices. Many companies are moving their data to the cloud and networking is essential to that process. Questions about what the cloud is and how it works are answered in this course, along with mobile connectivity using cellular networks and security.
Configure and Manage Microsoft Teams
Microsoft Teams is designed for efficient and effective collaboration. This course is designed for Office 365 leaders and administrators who are responsible for reviewing, deploying, configuring, and managing Microsoft Teams. The course will provide valuable knowledge to administrators who manage apps, services, and support infrastructure to meet business requirements. It will enable support administrators to troubleshoot and monitor Teams communications, meetings, network usage, basic configurations.
Configure and Manage OneDrive for Business
Students will learn how to connect clients to all their files in Office 365, enabling the ability to share and work from anywhere in a secure environment. This course will deliver a experience of adoption for the attendees, getting to know the deeps and tricks of OneDrive for business and the benefits that come with the platform.
This course will help you prepare for the exam MS-300: Deploying Microsoft 365 Teamwork by covering the basics of configuring and managing SharePoint Online. This seven-part module will cover topics such as planning and configuring site collections and hub sites, planning and configuring apps, working with managed metadata, planning and configuring guest access, managing user profiles, setting up Information Rights Management, managing search, and monitoring the SharePoint Online service.
In this course, students will learn about the core Azure networking features available to Azure Virtual Machines. This module teaches students how Virtual Machine networking is implemented, for external connections to the Internet, for internal connections within Virtual Networks, and for connections to on-premises networks. Students learn how to control network access with Network Security Groups and Application Security Groups as well as how to control network flows with User-Defined Routes. The course finishes with a detailed discussion of both Internet-facing and Intranet-facing DNS scenarios in Azure.
Configure and Manage Workload Integrations
This course will help you prepare for the exam MS-300: Deploying Microsoft 365 Teamwork by covering the basics of configuring and managing workload integrations in Microsoft 365. This four-module course will cover integrating M365 workloads (such as Office 365 connectors, Flow and PowerApps, etc.), enabling document support for Yammer, managing Stream, and integrating M365 workloads with external systems (such as PowerBI, line of business systems and monitoring usage and licensing).
This course helps Azure developers learn how to develop an app service logic app, integrate Azure search within solutions, establish API gateways, develop event based solutions and develop message based solutions
In this course, you will learn how to create web apps by using various Azure Platform as a Service components as as well as understand how to use Azure Container-based services.This course is part of the AZ 300 learning path for Microsoft Azure Architect Technologies.
Define and Prepare the Development Environment
The student will learn how Azure services can support the data science process. They’ll explore common architectures, learn to assess business goals and constraints for determining the correct environment, and setup the relevant development environments to support data science deployments in Azure.
Students will learn how to analyze resource utilization and consumption, create and configure storage accounts, create and configure a VM for Windows and Linux, create connectivity between virtual networks, implement and manage virtual networking, manage Azure Active Directory, and implement and manage hybrid identities.This course is part of the AZ 300 learning path for Microsoft Azure Architect Technologies.
This course teaches IT Professionals how to create and manage virtual machines as part of an Infrastructure as a Service (IaaS) computing infrastructure. Students learn how to assess their on-premises environment for virtual machine readiness in preparation for moving resources to the cloud to include sizing, pricing, and design considerations.Next, students learn how to create and deploy virtual machines in Azure using the Azure portal, PowerShell, and ARM templates. The course includes instruction on deploying custom images and Linux virtual machines. Then, students learn how to configure the networking and storage components of virtual machines. Deploying highly available virtual machines is critical in the light of planned and unplanned events, and students learn how to use availability sets to ensure that virtual machine resources are available during downtime followed by how to use extensions and Desired State Configuration (DSC) for post deployment automation and configuration tasks.Finally, students learn how to perform virtual machine backups and how to use Azure’s monitoring capabilities to collect, view, and analyze virtual machine diagnostic and log data.
This is course four of the exam prep for AZ-301: Microsoft Azure Architect Design. Students will learn to design a Site Recovery Strategy, design for High Availability, design a disaster recovery strategy for individual workloads and design a Data Archiving Strategy.
In this module, you will gain the knowledge and skills to design a DevOps strategy. Students will learn how to plan for transformation, select a project, and create team structures. Students will also learn how to develop quality and security strategies. Planning for migrating and consolidating artifacts and source control will also be covered.
This is the second course of the AI-100 Exam Preparation Learning Path.In this course, we will discuss how to analyze the different business scenarios and translate them into different tools available,we will design a solution using Cognitive Services, we will discuss various use cases related to bot services and LUIS and discuss how to design a solution using these technologies,we will discuss the various High Performance Computing solutions that rely on computer infrastructure within the cloud, on-premises, and within hybrid scenarios, andwe will discuss security, compliance, and governance as it pertains to designing an AI solution in the cloud.
This course covers designing and implementing a Microsoft 365 tenant. This course starts with creating a new tenant, creating the domain then continue through setting up users and importing your data. It also includes a module on management and monitoring the environment.This course will teach the foundational skills required to begin your journey to completing the Microsoft 365 Identity and Services exam. It is one of the prerequisite requirements for the earning the Microsoft 365 Certified Enterprise Administrator Expert certification.
In this course, students will gain knowledge and skills needed to recommend and design Azure Data Solutions based on requirements. The solution technologies will include both relational and non-relational cloud data stores.
This is course five of the exam prep for AZ-301: Microsoft Azure Architect Design. Students will learn how to design deployments, design migrations and design API integration strategy in Microsoft Azure.
This is course two of the exam prep for AZ-301: Microsoft Azure Architect Design.The Design for Identity and Security course teaches design identity management, design authentication, design authorization, design for risk prevention and identity, and how to design a monitoring strategy for identity and security.
This is course one of the exam prep for AZ-301: Microsoft Azure Architect Design. This course covers a range of topics, including the gathering of information and workload requirements, how to optimize a consumption strategy, and how to design an auditing and monitoring strategy.
In this course students will gain the knowledge and skills needed to implement Azure IaaS services and features in their development solutions. The course covers provisioning virtual machines, using Batch Service to deploy/maintain resources, and how to create containerized solutions by using Azure Kubernetes Service.
In this course you will gain the knowledge and skills needed to implement Azure Platform as a Service feature and services in their development solutions. Students will learn how to create and manage Azure App Service resources, integrate push and offline sync in their mobile apps, and how to document an API. Students will also learn how to create and test Azure Functions.
In this course students will gain the knowledge and skills needed to leverage Azure storage services and features in their development solutions. It covers Azure Table storage, Azure Cosmos DB, Azure Blob, and developing against relational databases in Azure.
This course will expose the student to developing solutions that use Cosmos DB storage, developing solutions that use a relational database, configuring a message-based integration architecture, and how to develop for autoscaling.This course is part of the AZ 300 learning path for Microsoft Azure Architect Technologies.
The student will learn how develop robust models. Starting from selecting the right metric to meet business goals, through to building tuned models, and then evaluating the models produced for fitness.
Google Cloud Professional Data Engineer
The course has been designed to prepare students for the GCP Professional Data Engineer Certification Exam. The course will review the most important topics in preparing for the exam and provide key aspects and methods for studying, preparing, and testing for the certification exam.
This course covers the entirety of the High Availability question domain. We will go through several services and explain how they can be used as HA design elements, and discuss the operations required to implement each service. Understanding trade-offs is an important element of HA design and we cover few examples of service and feature choice based on requirement.
The course will educate you implementing and managing identity and access within Microsoft 365. Starting with securing a Hybrid configuration, which focuses on selecting the correct authentication option and user account controls. It will also walk-through implementing conditional access policies for allowing and controlling access to the Microsoft 365 services, to implementing identity and privileged account protections using Azure Active Directory Privileged Identity Management and Azure Active Directory Identity Protection.This course is the first in the series for MS-500 Exam Preparation.
The course will educate you on securing data within Office 365, by implement protections used to encrypt data, as well as restrict end user capabilities. The course will also walk-through the implementation and management of Cloud App Security protections.This course is the second in the series for MS-500 Exam Preparation.
This course teaches IT Professionals how to implement Azure storage solutions for a variety of scenarios. Students learn about the different storage accounts and services as well as basic data replication concepts and available replication schemes. Students are also introduced to Storage Explorer as a convenient way to work with Azure storage data. Students also learn the types of storage and how to work with managed and custom disks. Azure blob storage is how Azure stores unstructured data in the cloud, and students learn how to work with blobs and blob containers. They also learn how to use Azure Files to work with file shares that are accessed via the Server Message Block (SMB) protocol. In addition to blob storage, this course covers Table and Queue storage as storage options for structured data. Students then learn how to secure and manage storage using Shared Access Signatures (SAS) and Azure Backup using Recovery Services Vault. Next, students learn how to use Azure File Sync to centralize an organization’s file Shares in Azure Files. Content Delivery Network (CDN) is used to store cached content on a distributed network of servers that are close to end-users. Students learn how to optimize content delivery with Azure CDN as well as how to transfer large amounts of data using the Azure Import/Export service. Lastly, students learn how to monitor Azure storage by configuring metrics and alerts and using the Activity Log. Students learn how to analyze usage trends, trace requests, and diagnose issues with a storage account.
The course will educate you on the implementation and management of threat protection services within Microsoft 365. Starting with implementing Hybrid configuration threat protection solutions, followed by protecting devices and applications using Advanced Threat Protection (ATP). You will also learn how to use ATP to secure Office 365 messaging and surrounding workloads such as OneDrive for Business, SharePoint Online, and Microsoft Teams.This course is the third in the series for MS-500 Exam Preparation.
This is the final course of the AI-100 Exam Preparation Learning Path.In this course, we will discuss how to implement various technologies for processing and ingesting your information,we will discuss how to implement Cognitive Services into your application and tie in Cognitive Search to your solution, andwe will discuss tools available for auditing and monitoring plus how to analyze an AI solution and migrate it to another solution if it does not meet requirements.
In this module, you will gain the knowledge and skills to deploy an application infrastructure in DevOps pipelines. Students will learn how to implement infrastructure as code and configuration management, how to provision Azure infrastructure using common automation tools, and how to deploy an application infrastructure using various Azure services and deployment methodologies. Students will also learn how to integrate 3rd party deployment tools with Azure, such as Chef and Puppet to incorporate compliance and security into the release pipeline.
Learn how to Implement authentication in applications (certificates, Azure AD, Azure AD Connect, token-based), implement secure data (SSL and TLS), and manage cryptographic keys in Azure Key Vault.This course is part of the AZ 300 learning path for Microsoft Azure Architect Technologies.
Welcome to the Implement Azure Security course. This course covers some of the foundational elements for implementing secure applications and data in the cloud as part of a sound security strategy for your organization. We will also cover Azure Key Vault, a service that provides secure storage of your secrets and other sensitive information, followed by the approaches and considerations of disk and data encryption in Azure.
In this module, you will gain the knowledge and skills to implement continuous delivery. Students will learn how to design a release strategy, set up a release management workflow, and implement an appropriate deployment pattern.
In this module, you will gain the knowledge and skills to implement continuous feedback. Students will learn how to recommend and design system feedback mechanisms, implement a process for routing system feedback to development teams, and optimize feedback mechanisms.
In this module, you will gain the knowledge and skills to implement the DevOps practices of continuous integration. Students will learn how to implement continuous integration in an Azure DevOps pipeline, how to manage code quality and security principles, and how to implement a container build strategy.
This course covers implementing Azure Data Storage services. We start off by reviewing Azure Portal and Storage concepts, then move on to implementing Azure SQL Data Warehouse, Azure SQL DB, Azure Data Lake, Azure Storage, and Azure Cosmos DB.
In this module, you will gain the knowledge and skills to implement DevOps processes. Students will learn how to use source control, scale Git for an enterprise, implement and manage build infrastructure, manage application configuration and secrets, and implement a mobile DevOps strategy.
Students will learn the fundamentals about Cloud App Security to gain visibility around all your cloud apps and services.Security is a primary goal for any organization, in this course the attendees will learn about the threat management to protect their environment and to monitor it using the cloud platform tools. This training will prepare it's audiences for, MS-101: Microsoft 365 Mobility and Security exam.
Students will learn about the modern workplace philosophy and how to embrace it, evolving the company paradigm into a flexible environment which allows collaboration while maintaining the security principals and improving the business through the adoption of the new platforms and concepts.
This course is the 2nd in a series around Azure Security, reflecting on the Microsoft exam objectives as a starting point, but also covering broader topics than wat is required for the exam.This course has a core focus on what it takes to implement overall Azure platform protection. In the first module, we touch on several aspects of Azure Networking security, like custom routing, Network Security Groups, Application Security Groups and Azure Firewall. You will also learn about optimizing security of remote management to your Azure Virtual Machines. In the next module, we pinpoint the topic of host security, which covers endpoint protection deployment and configuration, Azure virtual machine hardening best practices and how to enable and configure system updates for your Azure-running virtual machines. The 3rd module brings you up to speed on containerizing applications and running them in different Azure container service resources like Azure Container Registry and Azure Container Instance, always focusing on the security aspect of these. Last, we also talk about Azure Kubernetes Services networking and security control. In the 4th and last module, you learn about Azure governance using Azure Policies, Role Based Access Control and how to set up subscription permissions.
Students will learn how to migrate servers to Azure, configure serverless computing, implement application load balancing, integrate on-premises network with Azure virtual network, manage role-based access control (RBAC) and implement Multi-Factor Authentication (MFA).This course is part of the AZ 300 learning path for Microsoft Azure Architect Technologies.
This course covers the contents to the learning plan as well as how it is organized. It also introduces you to the AWS Certification and its requirements.
In this hands-on course, students will learn about Azure SQL Data Warehouse. This course will review basic architecture of Azure SQL Data Warehouse. We will cover tools used with Azure SQL Data Warehouse, loading SQL Data Warehouse and basic workload management in SQL Data Warehouse.
This course provides a high-level introduction to the AWS platform, available components and services. Included is a brief description for each service to get you acquainted to the offerings.
This course introduces students to Azure Data Factory V2. Students will learn about the different phases of a Data Factory Pipeline. Students will then cover Data Factory Architecture, terminology, the copy activity, file formats, integration runtimes, scheduling and triggers, and data factory management.
In this course, students will learn the fundamentals of hybrid networking in Azure. This includes connecting Azure virtual networks to on-premises systems for communications between on-premises users and systems and Azure services - both private such as virtual machines and public such as Azure SQL and Azure App Services. Students will also learn about the available VPN types and how to configure them.
This course looks at services and tools used for machine learning with Azure. This course will introduce students to Machine Learning Server, SQL Server Machine Learning Services, Cognitive Toolkit, the Data Science Virtual Machine, and the Azure AI Gallery.This course will assist you in preparing for the "Using Other Services for Machine Learning" section of the "Perform Cloud Data Science with Azure Machine Learning" Microsoft Exam 70-774.
This course covers the fundamentals of using and administering Linux systems. The focus is on distro-independent fundamentals, including: installing and managing Linux software, using essential Linux commands, understanding and modifying the boot process, device and kernel management, basic scripting, configuring services, user and group management, system monitoring, networking and storage management, virtualization. This course will prepare students to pass the Linux Foundation Certified Linux System Administrator exam.
In this course, students will learn the fundamentals of load balancing in Azure and explore Azure load balancing services in detail. Services include Azure Load Balancer, Azure Application Gateway, and Azure Traffic Manager. In addition, students will learn how these services can be combined to build resilient application architectures for both IaaS and PaaS hosted applications.
This course will cover the management of authentication and authorization services in Azure Active Directory and Microsoft 365. It will include concepts of authentication process on-prem and the design best practices for a successful business migration.Multi-Factor Authentication and Application access will also be part of the content to provide a complete picture of these features and their usage on authentication and authorization, covering internal and external requests and providing a full understanding of the service.
This course covers configuring, managing and deploying Azure data processing solutions. We start with an overview of big data environments, including Hadoop clusters, then cover how to plan for and implement Azure Databricks, Azure Stream Analytics, Event Hubs, Azure Data Factory and how these fit with Azure Data Warehouse solutions.
This course teaches IT Professionals how to manage their Azure subscriptions to include access, policies, compliance, and how to track and estimate service usage and related costs. Students learn how cloud resources are managed in Azure through user and group accounts and how to grant appropriate access to Azure AD users, groups, and services through role-based access control (RBAC). Students also discover the core monitoring tools and capabilities provided by Azure including Azure Alerts and Activity Log. Students are then introduced to Log Analytics as a broad data analytics solution as well as how to use this service to query and analyze operational data. Finally, students learn about the Azure Resource Manager (ARM) deployment model and how to work with resources, resource groups and ARM templates.There are three modules in this course altogether:Manage Azure Subscriptions and Resources OverviewMonitor Subscription ResourcesAzure Cost Management and OptimizationBecause this course is the first course in the series for the Azure Administrator exams, there is a considerable amount of foundational content that is covered here in order to prepare students for the remaining courses in the curriculum. As a result, students are provided with a lesson that covers tips and tricks for working in the Azure portal as well as an introduction to key tools used in the Azure environment such as the Cloud Shell and Resource Explorer. Emphasis is laid on PowerShell and the command line interface (CLI) as important skills to acquire not only in preparation for the exam, but for the job role itself.
The course will educate you on Governance and Compliance features within Microsoft 365. It will guide you through the ability to retrieve content as well as audit logs, allowing you to make decisions, and apply protections and controls based on information.This course is the final one in the series for MS-500 Exam Preparation.
This course is the first in a series around Azure Security, reflecting on the Microsoft exam objectives as a starting point, but also covering broader topics than wat is required for the exam.This course has a core focus on managing Azure Identity and Access control, relying on Azure Active Directory as the main vehicle for these. In the first module, where we start with an introduction to Azure Active Directory, we dive into the topic of AD Connect synchronization, discuss several authentication architectures available today for hybrid identity, and zoom in on several of Azure AD’s built-in security features. The 2nd module covers Azure AD Privileged Identity Management, a separate service in Microsoft Azure, allowing you to define and control admin-level privileges. The 3rd and last module in this course touches on how to migrate Azure resources across different subscriptions and what impact this might have, ending with describing and walking you through Azure API Management capabilities.
Students will learn how to prevent scenarios where leaked information could cause damage to their organizations, by gaining the ability to create, publish, and apply labels to documents. Students will learn to set the retention policies to those documents to be compliant with regulations that apply to their organizations.This training will prepare it's audiences for, MS-101: Microsoft 365 Mobility and Security exam.
This course is the 3rd in a series around Azure Security, reflecting on the Microsoft exam objectives as a starting point, but also covering broader topics than wat is required for the exam.This course has a core focus on managing security operations, mainly describing what different Azure monitoring and operations tools are available, and how they can help in managing your Azure environment from a security operations perspective. You will learn about Azure Monitor, Azure Log Analytics and Azure Security Center. Next, you will also learn about Azure alert management and Azure Security Center alerts specifically.
In this course, you will learn learn how to manage user security groups and licenses for cloud identities, and how to plan and implement identity synchronization, federated identities, applications, and external access.This course focuses on the management tasks for identity and role administration from the Microsoft 365 platform perspective to cover security, compliance and supporting roles; it will also elaborate on tips for monitoring the integration and hybrid services used on identity management.
In this course, students will learn how to manage and configure Azure Active Directory in basic and advanced deployment scenarios. Students will learn how to manage hybrid identity to include attribute writeback as well as how to manage devices with Azure Active Directory.
This course covers configuring, managing and deploying monitoring for Azure Storage and data store solutions. We start with an overview of monitoring concepts, then focus on monitoring Azure Storage, Azure Data Lake, Azure Data Warehouse, Azure SQL DB and other services.
In this course students will gain the knowledge and skills needed to ensure applications hosted in Azure are operating efficiently and as intended. Students will learn how Azure Monitor operates and how to use tools like Log Analytics and Application Insights to better understand what is happening in their application. Students will also learn how to implement autoscale, instrument their solutions to support monitoring and logging, and use Azure Cache and CDN options to enhance the end-user experience.
This course covers physical connectivity of networking. Cables need to plug in both sides, but there’s many types of cables, standards, and ways to connect. This course will review these various ways to connect your network using physical cabling.
This module will provide an overview of big data, IoT and machine learning solutions in Azure. We will define the meaning of big data and look at the reasons why you might need a big data solution. We will then move on to a discussion of the analytics maturity model to understand how machine learning extracts value from big data. Next, we will review the lambda architecture which is the dominant architecture for big data solutions. We will look at the Azure components used in big data solutions and how they fit together to build an end-to-end lambda architecture in Azure. Finally, we will wrap up with a discussion of the Cortana Intelligence Suite and the value that it brings to big data and analytics solutions in Azure.
This course dives into the Presentation layer of the OSI model and discusses port traffic. Ports are also known as doors and act as doorways in and out of a network. Understanding how to open or close a port and why is a great asset to have in your knowledge of networking.
Performing Feature Engineering
The student will learn how develop effective and reusable features ready for modeling. Using manual techniques and then automated techniques, the data scientist will be able to handle core data types using SciKit-Learn and Microsoft Python libraries like MMLSpark and Azure Machine Learning Data Prep SDK.
This course introduces you to the key components of Office 365 and then focuses on what it takes to move your organization to Office 365. You will spend time learning how to plan an Office 365 deployment.It will also cover the design and planning tools and top to handle on-prem and cloud workloads and have a whole support platform to work based on the business requirements.
The Real-Time Ingestion and Processing in Azure course covers information about implementing real-time event stream ingestion and processing within Microsoft Azure. The course starts with an overview of the Lambda Architecture and what a Message Broker is used for. The course continues to cover the Azure Event Hubs and Azure IoT Hub services used for event stream ingestion, and Azure Stream Analytics and HDInsight for integrating real-time event processing. Finally, the course finishes with an overview of a few example architectures to give a better perspective on architecting Real-Time Ingestion and Processing solutions within the Microsoft Azure cloud. This course should help in preparation for the 70-534 exam, Architecting Microsoft Azure Solutions.
This course is the 4th and last in a series around Azure Security, reflecting on the Microsoft exam objectives as a starting point, but also covering broader topics than wat is required for the exam.This course has a core focus on deploying, configuring and managing security of your data that is stored in Azure, as well as how to secure your business-critical application workloads. You will learn about securing Azure SQL, covering different built-in and sometimes unique to public cloud features of SQL Server. Next, you will also learn the basics of securing other data solutions like HD Insights, Azure Data Lake and Cosmos DB. Another part of the course discusses on how to enable and configure data encryption, using Azure Key Vault as secrets store. Last, you will also learn about several security features of Azure App Services, optimizing security for Azure Web Apps and Azure App Services Environment.
In this course, students will learn how to implement and configure advanced security controls in Azure Active Directory, including Multi-Factor Authentication and Privileged Identity Management. These controls are implemented to secure user identities in Azure Active Directory and provide advanced reporting, authentication, and authorization through the Azure AD identity service.
This course answers questions on encryption. What encryption is and the different forms it takes in networking. We also discuss certificates and what roles they play in TCP/IP. By encrypting our data, we secure our data. Security plays an ever-important roles in networking today.
This course will discusses the implementation of cloud security in Microsoft 365, in addition to compliance and privacy concerns. You will learn about various identity and security methods as well as discussing the use of Azure Active Directory and AD DS. It will also discuss mobile device and application management and the use of Windows Intune.
In this hands-on course, students will learn about running SQL Server in Azure. This course will review basic Azure networking and storage using the Azure Resource Manager architecture to prepare students for building SQL Server solutions in Azure. The primary focus of this course is SQL Server cloud and hybrid-cloud solutions on Azure Infrastructure as a Service (IaaS). This course will cover best practices for deploying SQL Server on Azure Virtual Machines including standalone SQL Servers and hybrid Availability Groups. The course will look at SQL Server features that take advantage of Azure Storage such as SQL Server Managed Backup, Azure Snapshot Backups, and SQL Server data files hosted on Azure Storage.
This course will discuss the various licensing and subscription options available in Microsoft 365. It will also discuss the pricing and models for other cloud services and a comparison between cloud services versus on-premise. Finally, it will look at the process for creating a support request.
This course will mainly cover connectivity. You will learn all about the main protocol that makes networking on the internet and most organizations work. TCP/IP isn’t the only protocol, but it is the most important and most often used. It’s also the main protocol used in in the Network+ certification exam.
In this module, you will focus on pricing and support models available with Microsoft to include but not limited to Azure subscriptions, planning and managing costs, support options available with Azure, and the service lifecycle in Azure.
In this module you will learn basic cloud concepts to include but not limited to the following: Why Cloud Services?, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), Public, Private, and Hybrid cloud models.
In this module, you will learn the basics of core services available within Microsoft Azure to include but not limited to Core Azure architectural components, Core Azure Services and Products, Azure Solutions, and Azure management tools.
In this module, you will learn about security, privacy, compliance, and trust with Microsoft Azure. You will become familiar with the following topics: securing network connectivity in Azure, core Azure identity services, security tools and features, Azure governance methodologies, monitoring and reporting in Azure, and privacy, compliance and data protection standards in Azure.
This course provides an overview of cloud concepts and platforms. It also discusses benefits and processes for migrating to the cloud. It will also look at different Microsoft Cloud Services and Microsoft 365 service offerings.
The course will educate students on setting up a Windows Server environment, with supporting services and components. It will introduce you to Windows Server, as well as provide an understanding of server hardware and resources. It will also provide the basics of installing, configuring and managing Windows Servers, along with disk storage, device management, services and performance monitoring in windows server.
The course will educate you on setting up a Windows Server services starting with DNS, DHCP, Active Directory and Certificate Services. It will introduce you to basic management of Active Directory Group Policies as well as creating and managing Active Directory objects such as Users and Groups. The course will also cover files and folders such as sharing and NTFS permissions, as well using Print Server capabilities within Windows Server.
This course covers a variety of topics including web services within the internet information server. Hyper-V virtualization, Windows server remote access and administration. The course will not only walk-through installation, but also basic configuration. The course will also walk-through the basics of windows server troubleshooting using out of the box tools as well as the Sysinternals tools provided by Microsoft. Lastly, we will walkthrough a setup of Network Load-balancing and Clustering.
In this lab, you will learn about the agile planning and portfolio management tools and processes provided by Azure Boards and how they can help you quickly plan, manage, and track work across your entire team. You will explore the product backlog, sprint backlog, and task boards which can be used to track the flow of work during the course of an iteration.
In this lab, you will learn the basics of authoring and deploying an Azure Resource Manager (ARM) template using Visual Studio 2019 focused on infrastructure as a service (IaaS) technologies. You will author a template that deploys a virtual machine that automatically configures a web server with a sample app as well as a virtual machine with SQL Server and a database for the sample app.
In this lab, you learn the basics of authoring and deploying an Azure Resource Manager (ARM) template using Visual Studio Code, focused on Infrastructure as a Service (IaaS) technologies. You author a template that deploys a virtual machine, which gets automatically configured as a web server with a sample web app, as well as configuring a second virtual machine which gets configured with SQL Server and a database for the sample app.
In this lab, you will create a simple URL Shortener application written in C# using Azure Functions serverless compute and the Azure Functions Tools for Visual Studio 2017. The application will make use of Azure Functions Proxies, and host the homepage of the application as a static web page in Azure Storage. The app also uses Azure Storage Tables for the backend data store for the URLs and their shortened address codes.
In this lab, you will create a knowledge base in QnA Maker and connect it to a bot using the Azure Bot Service. Then you will interact with the bot using Teams — one of many popular services with which bots built with the Azure Bot Service can integrate.
In this lab, you will create a new Azure Function that exposes an HTTP endpoint to enable the function to be triggered on-demand. The HTTP endpoint accepts two query string parameters from the HTTP request. The function outputs a calculated value based on the input parameters.
The students will be able to describe and demonstrate the capabilities that Azure Cosmos DB can bring to an organization. They will be able to create a Cosmos DB instance and show how to upload and query data through a portal and through a .Net application. They will then be able to demonstrate how to enable global scale of the Cosmos DB database.
You are the leader of a group of climate scientists who are concerned about the dwindling polar-bear population in the Arctic. As such, your team has placed hundreds of motion-activated cameras at strategic locations throughout the region. Rather than manually examine each photograph to determine whether it contains a polar bear, you have been challenged to devise an automated system that processes data from these cameras in real time and displays an alert on a map when a polar bear is photographed. You need a solution that incorporates real-time stream processing to analyze raw data for potential sightings, and one that incorporates artificial intelligence (AI) and machine learning to determine with a high degree of accuracy whether a photo contains a polar bear. And you need it fast, because climate change won’t wait.In this lab, you will build such a system using Microsoft Azure and Microsoft Cognitive Services. Specifically, you will use an Azure IoT hub to ingest streaming data from simulated cameras, Azure Storage to store photographs, Azure Stream Analytics to process real-time data streams, Azure Functions to process output from Stream Analytics, Microsoft’s Custom Vision Service to analyze photographs for polar pears, Microsoft Power BI to build a dashboard for visualizing results, and Azure SQL Database as a data source for Power BI.
Data discovery classification provides advanced capabilities built into Azure SQL Database for discovering, classifying, labeling reporting the sensitive data in your databases. In this lab, you will learn the basics of how to classify your Azure SQL Database.
In this lab, you will use the Azure Migrate service to migrate the SmartHotel app which is currently hosted on an on-premises infrastructure hosted in Hyper-V to Azure Virtual Machines. During the lab, you will migrate this entire application stack to Azure using the Azure Migrate service. Note: this lab takes 60-75 minutes to fully deploy.
In this hands-on lab, you will use Azure Databricks in combination with Azure Machine Learning service to build, train and deploy desired models. You will learn how to train a forecasting model against time-series data, without any code, by using automated machine learning, and how to score data in real-time using Spark Structure Streaming within Azure Databricks. You will create a recurrent neural network (RNN) model using PyTorch in Azure Databricks that can be used to forecast against time-series data and train a Natural Language Processing (NLP) text classification model using Keras.At the end of this lab, you will be better able to build solutions leveraging the Azure Machine Learning service and Azure Databricks.
Many teams prefer to define their build and release pipelines using YAML (Yet Another Markup Language). This allows them to access the same pipeline features as those using the visual designer, but with a markup file that can be managed like any other source file. YAML build definitions can be added to a project by simply adding their source file to the root of the repository. Azure DevOps also provides default templates for popular project types, as well as a YAML designer to simplify the process of defining build and release tasks. In this lab, you will learn how to configure continuous integration (CI) and continuous deployment (CD) for your applications using Build and Release in Azure Pipelines.
In this lab, you will create an Azure Data Lake Store Gen2 account. You will learn to lock down and manage access of the Data Lake Store, taking advantage of both role-based access control and Data Lake Store Azure AD integration. Finally, you will process a bulk ingest using Hadoop distcp utility.
In this lab, you will use the Azure cross-platform CLI tools (version 2.0) to learn the fundamentals of creating and managing Azure Virtual Machines.
In this lab, you will create a Linux virtual machine running in Azure, and connect to it using SSH. You will then delete the virtual machine, and clean up associated resources.
In this lab, you will create a Windows virtual machine running in Azure, and connect to it using Remote Desktop. You will then delete the virtual machine, and clean up associated resources.
In this lab, you will learn to build, monitor, manage and troubleshoot data pipelines with Azure Data Factory V2. You will learn to use the Copy Data wizard to build pipeline with no coding. You will build a custom pipeline to copy data from Blob storage to a table in Azure SQL Database. You will build a tumbling window pipeline to pick up data on a daily basis. Finally, you will learn to use the Management Monitoring tools to troubleshoot pipeline failures.
In this lab, you will learn the foundations of deploying and configuring virtual machines in Microsoft Azure. You will configure a web farm using availability sets, load balancing, and virtual machine extensions to deploy a web app as well as deploy and configure a SQL Server for the web application database.
In this lab, an AKS cluster is deployed using the Azure CLI. A multi-container application consisting of web front end and a Redis instance is then run on the cluster. Once completed, the application is accessible over the internet.
In this lab, you learn about the different capabilities of Azure NetworkWatcher. The lab starts from the initial steps of enabling Azure Network Watcher in multiple Azure regions and deploying the Azure Network Watcher Virtual Machine extension to several VMs that are already deployed in your subscription. You learn how to use Azure Network Watcher Topology, you will then execute a network packet capture from the Azure Portal and PowerShell, and learn how to interpret and analyze the contents of a capture file by using different tools. Then you will move over to using IP Flow Verify and NetworkSecurity Group View features of Azure Network Watcher. In the last exercises, you will review the VPN Diagnostics capability. This lab pre-provisions several virtual machines used during the lab and will take 30-40 minutes before it is ready for use.
In this lab, you will configure several virtual machines that have been pre-deployed into an Azure subscription. This includes: one domain controller and two SQL Servers. You will thencreate an Azure Storage account that will be used as a Cloud Witness for the cluster, a Windows Failover Cluster across the two SQL Servers with the storage account acting as a witness. You will then create a SQL ServerAvailability Group with an Azure Internal Load Balancer and validate failover works correctly.Note: This lab pre-provisions several virtual machines and may take more than 30 minutes to complete provisioning.
In this hands-on lab, you will step through 10 exercises where you will use Azure Machine Learning to accomplish several tasks that are essential to the DP 100 Designing and Implementing a Data Science Solution on Azure exam.You will learn how to Create and Deploy a Training Pipeline, Run Experiments and Manage Models, understand how to work with data stores and data sets, work with environments and compute targets. create and configure a publishing pipeline, understand how to automate machine learning, as well as learn how to monitor with application insights and detect data drift.
In this lab, you will learn how to manage device and manage software maintenance in Linux.This lab automatically deploys a virtual machine that you will use as part of the lab and will take between 3 to 5 minutes to fully provision.
In this lab, you will learn about the release management features available in Azure Pipelines that automate the deployment of applications. These features help development and operations teams integrate with Team Foundation Server to configure and automate complex deployments of their automated builds to target stages more easily. Development teams can also model their release processes and track approvals, sign-offs, and visualize their release status.
In this lab you will be able to explain why Azure Databricks can be used to help in Data Science projects. You will provision and Azure Databricks instance and will then create a workspace that will be used to perform a simple data preparation task from a Data Lake Store Gen II store. Finally, the student will perform a walk-through of performing transformations using Azure Databricks.
In this lab, an Azure Virtual Machine disk will be encrypted using the following steps:Deploy a VM into Azure that is not encryptedObtain and run the Azure Disk Encryption Prerequisites Azure PowerShell scriptEncrypt your virtual machines
In this lab, you will create a virtual network, network security groups and an application security group. From there you will associate several security rules and then create several virtual machines associated with them to test filtering network traffic.
In this lab, you will create a virtual network that will allow the virtual machines you create to securely connect with each other. You will then create two virtual machines and specify the virtual network configuration and the availability set configuration along with storage for the virtual machine.
In this lab, you will practice using Azure Policy and Azure Role-Based Access Control (RBAC) to implement some simple governance scenarios in Azure. You will use Azure Policy to apply a permitted locations rule to the Azure subscription, and RBAC to grant permissions to a new user.
In this lab, you will practice introductory concepts in managing Azure with PowerShell. You will learn to manage subscriptions, create resources, view resources, tag resources, and view resource tags. You will finally learn to delete resources.
In this lab, you will create an Azure Web App and a SQL Database and configure the popular content management system (CMS) Orchard CMS. You will then configure the web app to automatically scale based on actual CPU usage.
In this lab, you will create an Azure Web App in the portal and add a staging slot. Then, using Visual Studio you will create a .Net application. You will read environmental variables from a file, then remove the dependency on that file with application settings in Azure. You will view default logs using log streaming in Azure and then create custom log messages in the application. You will explore slot deployment by deploying these changes to Stage and then swapping them to Production.
In this lab, you will learn the basics of navigating the Linux operating system. You will learn core concepts such as using the help system, navigating the file system and using common tools like to manage files and directories.This lab automatically deploys multiple virtual machines that you will use as part of the lab and will take between 3 to 5 minutes to fully provision.
This lab is designed to help you become familiar with several features of Microsoft Azure Log Analytics. You will learn how to setup a Log Analytics workspace and install the agent on several VMs. From there, you will configure data sources from Azure as well as diagnostic data from the VMs and learn the fundamentals of querying data and events using the Log Analytics query language.This lab pre-provisions several resources in Microsoft Azure and will take 15-20 minutes to start before it is ready.
In this lab, you will configure Azure Site Recovery to protect a sample n-tier application by configuring replication from the source Azure region to a target Azure region. Once the initial replication has completed and the application is protected, you will perform a test fail over and validate application functionality. Finally, you will accomplish the cleanup of the test failover resources.Note: This lab pre-deploys several resources and will take 30-45 minutes to start.
In this lab, you will learn how to use Visual Studio Code to author an ARM Template that declares the Azure Resources necessary to host an Azure Web App, Azure SQL Database, and Azure Application Insights.
In this lab, you will provision an Azure Web App and App Service Plan. Then, you will configure a "Staging" Deployment Slot and deploy source code to it from a Github repository. Finally, you will perform a deployment slot swap to push the code deployment from Staging into Production.
In this lab, you will learn the fundamentals of automating Azure Web Apps using the Azure CLI tools. With the tools, you will provision an Azure Web App and App Service Plan. Then, you will configure a "Staging" Deployment Slot and deploy source code to it from a Github repository. Finally, you will perform a deployment slot swap to push the code deployment from Staging into Production.
In this lab, you will learn the basics of writing and executing shell scripts as well as learning how to create scheduled tasks for routine maintenance or other reoccurring operations. This lab automatically deploys multiple virtual machines that you will use as part of the lab and will take between 3 to 5 minutes to fully provision.
In this this lab you will learn how to setup and configure Azure Automation to execute runbooks for common task automation. This will will teach you how to create an Azure Automation Account, configure runbook assets, setup source control, and teach you how to create and trigger runbooks via webooks for automating tasks against one or more Azure Virtual Machines.
In this lab, you will be introduced to basic concepts for developing with Azure Storage using Visual Studio and C#.
In this lab, you will get started with Azure Key Vault to create a hardened container (a vault) in Azure, to store and manage cryptographic keys and secrets in Azure. First you will use Azure PowerShell. Then you will store a password as a secret that could then be used with an Azure application.
In this lab, the student will learn the basics of messaging patterns between software systems and how to use the Azure Service Bus as a messaging solution.
In this lab, you will learn the fundamentals of how to use the Azure PowerShell cmdlets to create and manage Azure Virtual Machines. Exercises will include performing common operations like stopping and starting VMs, creating VMs, attaching additional storage and creating and updating virtual machines.
In this lab, you will create 3 virtual networks in two different regions. You will configure site-to-site connectivity between the regions using a VPN Gateway. Finally, you will configure virtual network to virtual network connectivity using virtual network peering. This will also allow traffic from the 3rd virtual network to transit over the VPN gateway.
In this lab you will learn how to enable and disable distributed denial of service (DDoS) protection, and use telemetry to mitigate a DDoS attack with Azure DDoS Protection Standard. DDoS Protection Standard protects Azure resources such as virtual machines, load balancers, and application gateways that have an Azure public IP address assigned to it.
In this lab, you will use the Azure PowerShell cmdlets to manage common tasks with Azure Blob Storage.You will learn how to create an Azure Storage Account, create and manage containers, upload and download blobs, and manage leases and snapshots.
In this hands-on lab, you will learn how to configure client and end-user devices for Office 365. You will learn how to set device access rules using the Microsoft Online Services PowerShell module, plus learn how to perform an automated installation of Office 365 ProPlus. The lab wraps up on installing the Microsoft Support and Recovery assistant so you understand how to trouble shoot common deployment issues.
In this lab, you will learn how to configure and manage an Azure Cosmos DB Account (formerly Azure DocumentDB), including how to query and manage JSON documents within a Collection. Among the topics covered are using SQL language syntax to perform document queries that return JSON results, and implementing and testing global data replication and fail over.
In this lab, you will manage external users within Azure Active Directory. You will creating Guest Users in Azure Active Directory, then manage the external user invitations. Lastly you will learn about lifecycle policies and how they can be used within Azure Active Directory.
In this lab, you will use Azure's Update Management solution to manage patches and updates for virtual machines. This involves enabling update management for a VM, assessing the status of updates, configuring alerts, scheduling update deployments, and finally viewing the results of update deployments.
In this lab, you will learn the fundamentals of configuring and managing virtual machine diagnostics and alerts as well as learn some useful troubleshooting techniques for Azure Virtual Machines.This lab pre-provisions an environment that you will use for testing diagnostics capabilities and may take up to 30 minutes before it's ready.
Application Insights is an extensible Application Performance Management (APM) service for web developers on multiple platforms. You can use it to monitor your live web applications and other services. It automatically detects performance anomalies, includes powerful analytics tools to help you diagnose issues, and helps you continuously improve performance and usability. It works for apps on a wide variety of platforms including .NET, Node.js and Java EE, hosted on-premises, hybrid, or any public cloud. It even integrates with your DevOps process with connection points available in a variety of development tools. It can even monitor and analyze telemetry from mobile apps by integrating with Visual Studio App Center.In this lab, you'll learn about how you can add Application Insights to an existing web application, as well as how to monitor the application via the Azure portal.
In this module, you will learn how Azure Data factory can be used to orchestrate the data movement from a wide range of data platform technologies. You will be able to explain the capabilities of the technology and be able to set up an end to end data pipeline that ingests data from SQL Database and load the data into SQL Data Warehouse. You will also demonstrate how to call a compute resource.
In this lab, you learn how to configure virtual networking peering.Virtual network peering enables you to seemlessly connect two Azure virtual networks. Once peered, the virtual networks appear as one, for connectivity purposes. The traffic between virtual machines in the peered virtual networks is routed through the Microsoft backbone infrastructure, much like traffic is routed between virtual machines in the same virtual network, through private IP addresses only.Note 1: This lab will connect two virtual networks within the same region. Peering across regions is currently in preview.Note 2: If you want a more in-depth view of virtual network connectivity (including site-to-site and point-to-site) try the Introduction to Virtual Network Connectivity lab.
The students will be able to describe what data streams are and how event processing works and choose an appropriate data stream ingestion technology for the AdventureWorks case study. They will provision the chosen ingestion technology and integrate this with Stream Analytics to create a solution that works with streaming data.
In this lab, you will install the required components to connect to Azure Active Directory. You will then initiate a connection to Azure Active Directory, as well as review common administration tasks and commands.
In this lab, you want to see if there are models that perform better than the one you might manually create. You decide to use Azure Machine Learning service’s AutoML and HyperDrive to simultaneously execute a number of different types of classification models, compare the results, and recommend the best performing model. This will save you a lot of time picking the best model so you can get the solution delivered sooner.
In this lab, you will learn how to manage Users and Groups using both MSOnline and AzureAD PowerShell Modules. You will create, manage and remove both users and groups, followed by managing permissions within Azure Active Directory.
In this lab, you will learn to use a Managed Identity with Azure PowerShell by creating a virtual machine with a system managed identity. You will then assign the identity to a resource group using role-based access control (RBAC).
In this lab, you will learn to use service principals with Azure PowerShell by first creating a service principal, assigning permissions to that principal, and finally logging into Azure with the service principal.
In this lab, you learn to leverage Machine Learning Server and SQL Server Machine Learning Services to execute R code. You will use pre-installed tools of the Data Science Virtual Machine to execute Jupyter Notebooks and execute remote R code against Machine Learning Server. You will then leverage SQL Server Machine Learning Services to execute R code in SQL Server.
Azure DevOps supports two types of version control, Git and Team Foundation Version Control (TFVC). Here is a quick overview of the two vesion control systems:Team Foundation Verson Control (TFVC): TFVC is a centralized version control system. Typically, team memvers have only one version of each file on their dev machines. Historical data is maintained only on the server. Branches are path-based and created on the server.Git: Git is a distributed version control system. Git repositories can live locally (such as on a developer's machine). Each developer has a copy of the source repository on their dev machine. Developers can commit each set of changes on their dev machine and perform version control operations such as a history and compare without a network connection.Git is the default version control provider for new projects. You should use Git for version control in your projects unless you have a specific need for centralized version control features in TFVC.In this lab, you will learn how to establish a local Git repository, which can easily be syncronized with a centralized Git repository in Azure DevOps. In addition, you will learn about Git branching and merging support. You will use Visual Studio Code, but the same processess apply for using any Git-compatible client with Azure DevOps.
In this lab, you will create Azure storage accounts and Data Lake Storage account and explain the difference between Data Lake Storage version 1 and version 2. You will also demonstrate how to perform data loads into the data storage of choice.