Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB : DP-420 Exam Questions

Exam Code: DP-420
Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB
Updated: Sep 01, 2026
Q&As: 281 Questions and Answers

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Microsoft DP-420 is a certification exam that examines the knowledge and skills of the candidates for developing web applications for Azure and working with Azure Cosmos DB database technologies. This certification exam is a part of the Microsoft IT Professional certification program and is the final certification exam for Azure SQL Database Administration. Microsoft DP-420 certification exam is a very important exam as it is one of the most common exams that every IT professional needs to pass in order to get a job in a reputable organization. DP-420 Dumps is a very important tool that can help you pass the DP-420 Exam.

DP-420 exam will examine the candidates on their knowledge of Azure SQL Database administration. Candidates will be tested on their knowledge of Azure SQL Database and Azure Cosmos DB technologies. This certification exam will test the candidates on the knowledge of developing, configuring, administering, and managing Azure SQL Database and Azure Cosmos DB technologies. In this study guide, we are going to share a few resources that you can use while preparing for the Microsoft DP-420 Certification Exam. Moreover, we will also discuss the DP-420 exam topics, objectives, syllabus, exam format, and weightage of each section. So, if you are preparing for the DP-420 exam, you must read this study guide carefully.

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-420?WT.mc_id=Azure_blog-wwl

Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design and implement data models	35-40%	- Implement client connectivity options 1. Implement singleton client 2. Create database connections 3. Handle connection errors 4. Use Azure Cosmos DB emulator 5. Choose gateway or direct connectivity mode 6. Configure client-side threading and logging - Plan and implement sizing and scaling 1. Design resource governance and scaling 2. Configure throughput 3. Choose between serverless, provisioned, and free tier 4. Evaluate throughput and storage requirements 5. Evaluate global distribution costs - Design a data partitioning strategy 1. Plan for transactions with partition keys 2. Choose a partition key 3. Evaluate cross-partition query cost 4. Evaluate throughput and data distribution 5. Implement synthetic partition keys 6. Choose a partitioning strategy - Design and implement a non-relational data model for Azure Cosmos DB for NoSQL 1. Reference between documents 2. Identify data and associated access patterns 3. Identify partition key, id, and unique keys 4. Store multiple related entities in the same document 5. Store multiple entity types in the same container 6. Denormalize data across documents - Implement data access 1. Use SDKs for CRUD operations 2. Use consistency and query request options 3. Implement patch operations 4. Implement optimistic concurrency control 5. Implement SQL queries with arrays and aggregation 6. Manage transactional batch operations - Implement server-side programming 1. Implement user-defined functions 2. Implement triggers 3. Write and deploy stored procedures
Topic 2: Maintain an Azure Cosmos DB solution	25-30%	- Monitor and troubleshoot Azure Cosmos DB solutions 1. Implement backup and recovery strategies 2. Monitor metrics and logs 3. Monitor performance and availability 4. Troubleshoot throughput issues
Topic 3: Optimize an Azure Cosmos DB solution	15-20%	- Design and implement change feeds 1. Consume change feeds using SDK 2. Manage change feed instances 3. Implement aggregation persistence 4. Develop Azure Functions triggers - Define and implement indexing strategy 1. Configure custom indexing policies 2. Choose appropriate index types 3. Choose read-heavy or write-heavy indexing 4. Optimize index performance 5. Implement composite indexes - Optimize query performance 1. Retrieve request unit cost 2. Implement integrated cache 3. Adjust indexing policies 4. Calculate query cost
Topic 4: Integrate an Azure Cosmos DB solution	5-10%	- Implement solutions across services 1. Enforce referential integrity 2. Integrate Azure Functions and Event Hubs 3. Implement Azure AI Search integration 4. Use Change Feed for denormalization 5. Aggregate and archive data - Enable analytical workloads 1. Write data back from Spark 2. Configure Azure Cosmos DB Mirroring 3. Enable analytical store 4. Query analytical store from Synapse
Topic 5: Design and implement data distribution	5-10%	- Design and implement multi-region writes 1. Choose when to use multi-region writes 2. Implement multi-region writes 3. Implement conflict resolution policies - Design and implement replication strategy 1. Evaluate consistency model impacts 2. Choose a consistency model 3. Choose when to distribute data 4. Define automatic failover policies 5. Perform manual failovers