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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.
The students will be able to provision an Azure SQL Database and Azure Synapse Analytics server and be able to issue queries against one of the instances that are created. They will be also be able to integrate a data warehouse with a number of other data platform technologies and use PolyBase to load data from one data source into Azure Synapse Analytics.
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 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 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, 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.
In this course you will learn how to deploy containers to Azure using Azure DevOps classic pipeline editor. With code in our Azure repos, you will learn to build a Docker file for the application and build and push it to a private Azure Container Registry. From there, follow along to learn release pipelines for Azure Container Instances and Web App for Containers. In your last release pipeline, take Azure Kubernetes service to the next level by learning how to build a Helm chart and deploy to AKS with Helm in Azure DevOps Pipelines. Finally, set our build and release triggers to give the AKS pipeline Continuous Integration and Continuous Delivery functionality.
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.
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.
You are the system administrator for Adatum Corporation, and you have Microsoft 365 deployed in a virtualized lab environment. In this lab, you will manage user devices using Intune. In this lab, you will learn how to enable device management using Microsoft Intune, configure automatic client enrollment, setup mobile device management policies, enroll a Windows 10 device, and finally understand how to manage and monitor a device in Intune.This lab supports Pausing. Utilizing the pause feature you will may have access to this lab for 7 days or you can have live access to the environment for up to 8 hours.
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.
In this hands-on lab, you implement a solution for integrating and deploying complex open-source software (OSS) workloads into Azure PaaS. You migrate an existing MERN (MongoDB, Express.js, React.js, Node.js) stack application from a hosted environment into Azure Web App for Containers, migrate a MongoDB instance into Cosmos DB, enhance application functionality using serverless technologies, and fully embrace modern DevOps tools.At the end of this hands-on lab, you will be better able to migrate and deploy OSS applications into Azure PaaS using modern DevOps methodologies and Docker containers.
This course is a high level introduction to common cloud concepts (recap of fundamentals to a degree) – but from the point of view of the architect – what are the components of Azure that make a difference with regards to architecture and what is different about cloud design vs on-premise.
This course provides an introduction to the services commonly used in solutions that leverage virtual machines. Topics to be discussed will include compute, network, storage, migration, availability, networking, and automation.
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.
This is course six of seven in the Implementing Azure Governance learning path. Resource organization is critical for organizations using Azure at scale. This course begins by discussing resource organization in Azure, explaining both the technical capability of the platform and best practices you can use to manage resources effectively. The second part of the course focuses on the Azure Resource Graph, showing how you can use this feature to explore your resources in many powerful ways.
This lab is designed for students taking the AI-100 Instructor-led Training Course for Microsoft Official Curriculum.In this lab, we will introduce our workshop case study and setup tools on your local workstation and in your Azure instance to enable you to build tools within the Microsoft Cognitive Services suite. You will start out by creating the services, modifying the code, and then work with the LUIS and QnA Maker.
This is course five of seven in the Implementing Azure Governance learning path.In this course, you will deep dive into the Azure Blueprints service, which is one of the more advanced governance services in Azure. You will learn what Blueprints are, and the scenarios they are designed to address. The course then takes you on a in-depth journey through each stage of the Blueprints life cycle: creating the Blueprint, adding artifacts, publishing, assigning to a subscription, and managing later updates. The final section of the course provides detailed coverage of Blueprints features not exposed in the Azure portal, such as controlling dependencies and avoiding use of the subscription Owner role. The course include in-depth demos using both the Azure Portal and command-line tools.
This is course one of seven in the Implementing Azure Governance learning path. This short course provides a brief introduction to key governance concepts and technologies in Azure. Students learn about the Azure governance architecture and the importance of good governance to successful enterprise cloud adoption.This course also serves as an introduction to the Azure Governance learning path.
In this collection of hands-on labs, you will learn about several technologies critical to preparing for the exam MS 101 - Mobility and Security. This Real Time Lab consists of seven labs in 1 for a comprehensive training experience.Labs included:LAB 1: Managing Policy and Permission Alerts,LAB 2: Configure Office 365 Message Encryption,LAB 3: Auto Enrollment and Tagging,LAB 4: Managing DLP Policies,LAB 5: Azure and Windows Information Protection,LAB 6: Data Investigation and Requests,LAB 7: Configuring the Microsoft Store. This lab provides the ability to "Pause" the lab. You will have two weeks to complete the lab exercises when utilizing the Pause feature.
In this lab, you will learn the basics of importing CSV files into a Power BI model and adjusting query and column properties to prepare them for your data model. Then you will set table and column properties in the data model and create relationships between tables.
In this lab, you will learn the basics of time intelligence measures to show year-to-date, quarter-to-date, and month-to-date totals. Then you will use DAX to enhance the data model and build a table that lets users choose which measures they want to see.
In this lab, you will learn how to use the Azure PowerShell cmdlets to deploy a pre-built Azure Resource Manager template.This template leverages the PowerShell DSC Custom script extension to automatically configure the virtual machines that are defined in the template.
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.
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.