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

  • 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 02, 2026
  • Q&As: 281 Questions and Answers

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Following is the info about the Passing Score, Duration & Questions for the Microsoft DP-420 Exam

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  • Time Duration: 60 minutes
  • Languages: English
  • Number of Questions: 40-60
  • The passing scores: 70%

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  • In India: 45,000 INR
  • In the United Kingdom: 56,000 GBP
  • In Sweden: 37,000 SEK
  • In the United States: 85,000 USD
  • In Germany: 43,000 EUR

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

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Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, Indonesian (Indonesia)

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: design and implement data models; design and implement data distribution; integrate an Azure Cosmos DB solution; optimize an Azure Cosmos DB solution; and maintain an Azure Cosmos DB solution.

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

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