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  • Exam Code: DP-420J
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420日本語版)
  • Last Updated: Jul 29, 2026
  • Q & A: 281 Questions and Answers
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  • Exam Code: DP-420J
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420日本語版)
  • Last Updated: Jul 29, 2026
  • Q & A: 281 Questions and Answers
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-420?WT.mc_id=Azure_blog-wwl

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Microsoft DP-420日本語 Exam Syllabus Topics:

SectionWeightObjectives
Design and implement data distribution5-10%- Design and implement replication strategy
  • 1. Perform manual failovers
  • 2. Choose when to distribute data
  • 3. Define automatic failover policies
  • 4. Evaluate consistency model impacts
  • 5. Choose a consistency model
- Design and implement multi-region writes
  • 1. Implement multi-region writes
  • 2. Implement conflict resolution policies
  • 3. Choose when to use multi-region writes
Integrate an Azure Cosmos DB solution5-10%- Enable analytical workloads
  • 1. Query analytical store from Synapse
  • 2. Write data back from Spark
  • 3. Enable analytical store
  • 4. Configure Azure Cosmos DB Mirroring
- Implement solutions across services
  • 1. Aggregate and archive data
  • 2. Enforce referential integrity
  • 3. Implement Azure AI Search integration
  • 4. Use Change Feed for denormalization
  • 5. Integrate Azure Functions and Event Hubs
Design and implement data models35-40%- Design a data partitioning strategy
  • 1. Implement synthetic partition keys
  • 2. Evaluate cross-partition query cost
  • 3. Choose a partitioning strategy
  • 4. Choose a partition key
  • 5. Evaluate throughput and data distribution
  • 6. Plan for transactions with partition keys
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Store multiple entity types in the same container
  • 2. Identify partition key, id, and unique keys
  • 3. Store multiple related entities in the same document
  • 4. Reference between documents
  • 5. Identify data and associated access patterns
  • 6. Denormalize data across documents
- Plan and implement sizing and scaling
  • 1. Evaluate throughput and storage requirements
  • 2. Choose between serverless, provisioned, and free tier
  • 3. Evaluate global distribution costs
  • 4. Configure throughput
  • 5. Design resource governance and scaling
- Implement data access
  • 1. Manage transactional batch operations
  • 2. Use consistency and query request options
  • 3. Implement optimistic concurrency control
  • 4. Use SDKs for CRUD operations
  • 5. Implement patch operations
  • 6. Implement SQL queries with arrays and aggregation
- Implement client connectivity options
  • 1. Create database connections
  • 2. Use Azure Cosmos DB emulator
  • 3. Configure client-side threading and logging
  • 4. Implement singleton client
  • 5. Handle connection errors
  • 6. Choose gateway or direct connectivity mode
- Implement server-side programming
  • 1. Write and deploy stored procedures
  • 2. Implement triggers
  • 3. Implement user-defined functions
Optimize an Azure Cosmos DB solution15-20%- Define and implement indexing strategy
  • 1. Configure custom indexing policies
  • 2. Choose read-heavy or write-heavy indexing
  • 3. Implement composite indexes
  • 4. Choose appropriate index types
  • 5. Optimize index performance
- Optimize query performance
  • 1. Retrieve request unit cost
  • 2. Adjust indexing policies
  • 3. Implement integrated cache
  • 4. Calculate query cost
- Design and implement change feeds
  • 1. Consume change feeds using SDK
  • 2. Manage change feed instances
  • 3. Develop Azure Functions triggers
  • 4. Implement aggregation persistence
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Implement backup and recovery strategies
  • 2. Troubleshoot throughput issues
  • 3. Monitor performance and availability
  • 4. Monitor metrics and logs

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