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

DP-420 Korean real exams

Exam Code: DP-420-KR

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

Updated: Aug 11, 2026

Q & A: 281 Questions and Answers

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About Microsoft DP-420 Korean Exam

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:

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

What are the objectives of the Microsoft DP-420 Certification Exam?

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.

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

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Skills measured

  • Optimize an Azure Cosmos DB solution (15–20%)
  • Integrate an Azure Cosmos DB solution (5–10%)
  • Design and implement data distribution (5–10%)
  • Design and implement data models (35–40%)
  • Maintain an Azure Cosmos DB solution (25–30%)
  • 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.

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The interactive DP-420 Korean dumps versions are PC test engine and Online test engine. The both versions are providing interactive DP-420 Korean exam questions and answers in the process. They can simulate the Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) actual test to feel the real exam in advance. When the exam questions are more like several hundreds of, they are maybe a little difficult to memory all in a short time. In this condition, recommend to use DP-420 Korean PC test engine or Online test engine to learn and memory better. These two DP-420 Korean real exam simulator versions are not limiting the number of using and install computers. The only difference between PC test engine and Online test engine is using operating system. The PC test engine is only using for Windows operating system, but the online test engine is using for Windows/Mac/Android/iOS operating systems.

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

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