Microsoft Azure Cosmos DB Developer Specialty (DP-420) Cert Prep: 4 Optimize an Azure Cosmos DB Solution by Microsoft Press
40mAdvanced2023-05-09
Authors

Microsoft Press
Microsoft
Course details
Cosmos DB is Microsoft Azure's flagship non-relational database product. It supports multiple application programming interfaces (APIs) that provide compatibility with competing NoSQL databases. If you’re looking to integrate enterprise-scale, cloud-based, NoSQL databases into your organization’s IT solutions, you may want to think about getting certified as a Microsoft Azure Cosmos DB developer. In this course, the fourth in a five-part series, instructor Tim Warner gives an overview of the skills you need to master to tackle the fourth domain of the Microsoft Azure Cosmos DB Developer Specialty (DP-420) certification exam. Learn how to optimize query performance in Azure Cosmos DB Core API, design and implement change feeds for an Azure Cosmos DB Core API, and design and implement an indexing strategy for an Azure Cosmos DB Core API using tools built into the Azure portal.
Skills covered
Database DevelopmentDatabase ManagementAzureNetwork AdministrationCloud PlatformsCert PrepNetwork and System AdministrationCloud ComputingMicrosoftSoftware Development
Concepts
1. Lesson 12 - Optimize Query Performance in Azure Cosmos DB Core API
- 01 - Learning objective
- 02 - Adjust indexes on the database
- 03 - Calculate the cost of the query
- 04 - Retrieve request unit cost of a point operation or query
- 05 - Implement Azure Cosmos DB integrated cache
2. Lesson 13 - Design and Implement Change Feeds for an Azure Cosmos DB Core API
- 06 - Learning objective
- 07 - Implement data archiving by using a change feed
3. Lesson 14 - Define and Implement an Indexing Strategy for an Azure Cosmos DB Core API
- 08 - Learning objective
- 09 - Choose when to use a read-heavy versus write-heavy index strategy
- 10 - Choose an appropriate index type
- 11 - Configure a custom indexing policy by using the Azure portal
- 12 - Implement a composite index