Microsoft DP-420 Korean : Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version)

  • Exam Code: DP-420 Korean
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version)
  • Updated: Jul 20, 2026   Q&As: 281 Questions and Answers

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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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Skills measured
  • The English language version of this exam will be updated on August 4, 2022. Please download the exam skills outline below to see what’s changing.
  • Design and implement data models (35–40%)
  • Optimize an Azure Cosmos DB solution (15–20%)
  • Maintain an Azure Cosmos DB solution (25–30%)
  • Integrate an Azure Cosmos DB solution (5–10%)
  • Design and implement data distribution (5–10%)

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

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

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