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DP-420日本語 pdf
  • 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 11, 2026
  • Q & A: 281 Questions and Answers
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  • 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)
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  • Exam Code: DP-420日本語
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A section outlining the topics of a Microsoft DP-420 Certification Exam

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

  • Optimize an Azure Cosmos DB solution: 20%
  • Design and execute information models: 40%
  • Integrate an Azure Cosmos DB solution: 10%
  • Design and implement data distribution: 10%
  • Maintain an Azure Cosmos DB solution: 20%

What is the Microsoft DP-420 Certification Exam and why it is created?

DP-420 Certification Exam is also known as Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (beta). DP-420 Certification Exam is authorized by Microsoft and is an IT professional certification exam that is designed to test the knowledge and skills of the candidates for designing and implementing cloud-native applications using Microsoft 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. DP-420 Dumps is the most reliable and easiest way to pass the DP-420 exam.

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

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