Working With Azure Cosmos DB

Lab Steps

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Logging into the Microsoft Azure Portal
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Creating an Azure Cosmos DB Database in the Azure Portal
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Starting an Azure Cloud Shell
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Creating a Cosmos DB Collection With the Azure CLI
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Working with the Cosmos DB MongoDB API
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Replicating the Cosmos DB Database Globally

The hands-on lab is part of these learning paths

AZ-203 Exam Preparation: Developing Solutions for Microsoft Azure
course-steps 20 certification 1 lab-steps 7
Architecting Microsoft Azure Solutions
course-steps 10 certification 6 lab-steps 5

Ready for the real environment experience?

DifficultyIntermediate
Time Limit2h
Students431
Ratings
4.6/5
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Description

Lab Overview

Azure Cosmos DB is a fully-managed, globally-distributed, multi-model database. Databases in Cosmos DB are enterprise-ready and highly-available offering up to 99.999% availability SLA. In this Lab, you will learn how to manage Cosmos DB using the Azure Portal and Azure CLI. This Lab uses the MongoDB API in Cosmos DB to work with a document database model.

Lab Objectives

Upon completion of this Lab, you will be able to:

  • Understand the multi-model capabilities of Cosmos DB
  • Perform geo-replication and failovers in Cosmos DB
  • Understand the tradeoffs involved in deciding on a concurrency model and throughput level in Cosmos DB
  • Connect to MongoDB API Cosmos DB databases using MongoDB clients

Lab Prerequisites

You should be familiar with:

  • The concept of NoSQL and document databases
  • MongoDB commands are beneficial, but not required

 

Updates

November 8th, 2019 - Updated Lab diagrams due to Azure changes

October 30th, 2019 - Updated Lab structure due to Azure changes

September 24th, 2019 - Updated instructions due to Azure changes

October 1st, 2018 - Updated instructions and screenshots to match the latest Azure interface and resolved an issue that prevented the Cosmos DB account from being created in certain cases.

Environment before
PREVIEW
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Environment after
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About the Author

Students39511
Labs102
Courses11
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Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.