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

  • Exam Code: DP-420日本語
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420日本語版)
  • Updated: Sep 24, 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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As per the guidance of the DP-420 Dumps, there are 02 main objectives of the Microsoft DP-420 Certification Exam. The first is to understand Azure Cosmos DB architecture & components, and the second is to understand the design and implementation of cloud-native applications using Microsoft Azure Cosmos DB. Assessment of the candidate's technical knowledge and skills in the field of Azure SQL Database Administration.

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Microsoft DP-420日本語 Exam Syllabus Topics:

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

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