Microsoft DP-420日本語 Exam : Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420日本語版)

Microsoft DP-420日本語 exam
  • Exam Code: DP-420J
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420日本語版)
  • Updated: Sep 18, 2026
  • Q & A: 281 Questions and Answers
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Official link of the Microsoft DP-420 Certification Exam

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

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DP-420 Dumps cover the following topics of the Microsoft DP-420 Certification Exam:

  • Optimize an Azure Cosmos DB solution: 20%
  • Maintain an Azure Cosmos DB solution: 20%
  • Integrate an Azure Cosmos DB solution: 10%
  • Design and execute information models: 40%
  • Design and implement data distribution: 10%
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Microsoft DP-420日本語 Exam Syllabus Topics:
SectionWeightObjectives
Maintain an Azure Cosmos DB solution25-30%- Monitor and troubleshoot Azure Cosmos DB solutions
  • 1. Monitor metrics and logs
  • 2. Implement backup and recovery strategies
  • 3. Monitor performance and availability
  • 4. Troubleshoot throughput issues
Design and implement data distribution5-10%- Design and implement replication strategy
  • 1. Choose when to distribute data
  • 2. Choose a consistency model
  • 3. Perform manual failovers
  • 4. Define automatic failover policies
  • 5. Evaluate consistency model impacts
- Design and implement multi-region writes
  • 1. Implement conflict resolution policies
  • 2. Implement multi-region writes
  • 3. Choose when to use multi-region writes
Optimize an Azure Cosmos DB solution15-20%- Define and implement indexing strategy
  • 1. Choose appropriate index types
  • 2. Optimize index performance
  • 3. Choose read-heavy or write-heavy indexing
  • 4. Configure custom indexing policies
  • 5. Implement composite indexes
- Optimize query performance
  • 1. Adjust indexing policies
  • 2. Calculate query cost
  • 3. Retrieve request unit cost
  • 4. Implement integrated cache
- Design and implement change feeds
  • 1. Implement aggregation persistence
  • 2. Consume change feeds using SDK
  • 3. Manage change feed instances
  • 4. Develop Azure Functions triggers
Integrate an Azure Cosmos DB solution5-10%- Implement solutions across services
  • 1. Aggregate and archive data
  • 2. Enforce referential integrity
  • 3. Integrate Azure Functions and Event Hubs
  • 4. Use Change Feed for denormalization
  • 5. Implement Azure AI Search integration
- Enable analytical workloads
  • 1. Configure Azure Cosmos DB Mirroring
  • 2. Query analytical store from Synapse
  • 3. Enable analytical store
  • 4. Write data back from Spark
Design and implement data models35-40%- Implement client connectivity options
  • 1. Configure client-side threading and logging
  • 2. Implement singleton client
  • 3. Use Azure Cosmos DB emulator
  • 4. Choose gateway or direct connectivity mode
  • 5. Create database connections
  • 6. Handle connection errors
- Implement data access
  • 1. Manage transactional batch operations
  • 2. Use consistency and query request options
  • 3. Implement SQL queries with arrays and aggregation
  • 4. Use SDKs for CRUD operations
  • 5. Implement optimistic concurrency control
  • 6. Implement patch operations
- Design a data partitioning strategy
  • 1. Evaluate throughput and data distribution
  • 2. Choose a partition key
  • 3. Implement synthetic partition keys
  • 4. Plan for transactions with partition keys
  • 5. Evaluate cross-partition query cost
  • 6. Choose a partitioning strategy
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
  • 1. Denormalize data across documents
  • 2. Store multiple related entities in the same document
  • 3. Reference between documents
  • 4. Identify data and associated access patterns
  • 5. Store multiple entity types in the same container
  • 6. Identify partition key, id, and unique keys
- Implement server-side programming
  • 1. Write and deploy stored procedures
  • 2. Implement user-defined functions
  • 3. Implement triggers
- 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

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