DP-420 Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB Certification Exam Guide

By Anand Vemula
Listen with Sir Michael Caine™ and 1,000+ voices
Length2h 36m

About this audiobook

The book delves into Azure Cosmos DB, exploring its key features and functionalities that empower developers to build scalable, globally distributed applications. The content covers various Cosmos DB APIs, including the SQL API, Table API, MongoDB API, and Gremlin API, explaining how each is tailored for different types of data models such as document, key-value, graph, and time-series data. The book emphasizes Cosmos DB's unique ability to support multi-region replication, offering automatic data synchronization and ensuring high availability and low latency across the globe. In-depth coverage is provided on topics like consistency levels, including strong consistency and bounded staleness, and how these levels impact performance. Readers learn about Cosmos DB's partitioning strategies, role-based access control (RBAC), conflict resolution policies, and how the platform ensures data durability and security across multiple regions. The book also details the Cosmos DB Emulator, which helps developers simulate a local Cosmos DB environment for testing, and how to scale applications efficiently using features like throughput control. It highlights the use of Cosmos DB for enterprise applications, including migrating data from on-premises SQL databases using Azure services, and offers insights into tools for managing Cosmos DB instances effectively. Overall, the book serves as a comprehensive guide for developers and architects looking to leverage the full potential of Azure Cosmos DB to build resilient, high-performance applications in the cloud.

Audiobook details

GenreEducation and Learning, Self-Help
Length2 hrs 36 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJun 4, 2025
LanguageEnglish

Table of contents

11. Understanding Azure Cosmos DB Core Concepts
22. Designing Data Models
33. Implementing Data Models
44. Designing for Global Distribution
55.Choosing Partition Keys
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66. Integrating with Azure Services
77. Using the SDK and REST API
88. Performance Optimization
99. Monitoring and Tuning
1010. Security and Compliance
1111. Data Protection
1212. Monitoring and Logging
1313. Troubleshooting Common Issues
1414. Maintaining and Updating an Azure Cosmos DB Solution
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