This book will help prepare you for the Microsoft DP-420 exam. Whether you are new to Azure Cosmos DB or have experience working with the platform, Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB is organized to address the specific skills measured in the DP-420 exam. The topics covered include No SQL models, code, and real-world scenarios aimed at helping you to understand and solve the case studies included in the exam.
Beyond the exam, this book will assist you in your journey to adopt Microsoft Azure Cosmos DB for your own projects. You’ll learn what makes Azure Cosmos DB such a robust No SQL service, as well as how No SQL approaches help enable modern applications. You’ll also get practical guidance for your own implementations. The topics covered in this book are essential to knowing how to leverage the Cosmos DB service and provide best practices that will guide you to success both on the exam and in your career.
What You Will Learn
- Understand and hone the skills needed to pass the DP-420 exam
- Gain insight into the test-taking experience, whether at a testing center or virtually
- Evaluate and understand features of Azure Cosmos DB using real-world use cases and code samples
- Learn from case studies in the book that will help you to correctly address case studies in the exam
- Build a foundation that goes beyond the exam and gives you the confidence to implement Azure Cosmos DB in your own projects
- Determine the trade-offs between different configurations, whether your implementation is small and local or large and requires global scale
Who This Book Is For
Anyone planning to take the DP-420 exam, as well as developers, engineers, and architects seeking a better understanding of Azure Cosmos DB and how it is used in developing modern applicationsusing a No SQL approach.
Table of Content
1. Scheduling and Taking the DP-420 Exam.- 2. Design and Implement a Non-Relational Data Model.- 3. Plan and Implement Sizing and Scaling.- 4. Design a Data Partitioning Strategy.- 5. Implement Client Connectivity Options.- 6. Implement Data Access with Cosmos DB SQL.- 7. Implement Data Access with SQL API SDKs.- 8. Implement Server-Side Programming.- 9. Design and Implement a Replication Strategy.- 10. Design and Implement Multi-Region Write.- 11. Enable Analytical Workloads.- 12. Design and Implement Change Feeds.- 13. Implement Solutions Across Services.- 14. Define and Implement an Indexing Strategy.- 15. Optimize Query Performance.- 16. Monitor and Troubleshoot.- 17. Implement Backup and Restore.- 18. Implement Security.- 19. Implement Data Movement.
About the author
Steve Flowers is a Senior Cloud Solution Architect at Microsoft focused on Data and AI. He has 12 years of experience in technology, and for the past three years he has helped customers achieve success with Azure Cosmos DB. In 2022, Steve achieved the Azure Cosmos DB Technical Insider badge acknowledging his training with the product group and Microsoft Global Black Belts in Azure Cosmos DB, and for helping enterprise customers architect and deploy Azure Cosmos DB. Steve’s technical experience ranges from networking and system administration to cloud native development on Azure and Io T solutions. He is passionate about data architecture and enjoys the challenge of a customer driven role within Microsoft.
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