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

DP-420 Korean pass collection

Exam Code: DP-420-KR

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

Updated: Aug 26, 2026

Q & A: 281 Questions and Answers

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

Here is the registration process of the Microsoft DP-420 Certification Exam

The registration process for the Microsoft DP-420 Certification Exam is very simple and straightforward. You just need to follow the steps given in the DP-420 Dumps. These steps are also given below to get registered for the DP-420 Certification Exam:

  • Fill in the required details like name, email, and password. After that, enter the required information like your country, your exam center, and your exam date.
  • Go to the official website of Microsoft. Click on the “Schedule Exam”, which will take you to the Exam Registration Page.
  • Finally, click on the “Register Now” button. You will get a confirmation mail from Microsoft with a link to take the DP-420 Certification Exam. Take the DP-420 Certification Exam at the specified date and time, with the Pearson Vue.

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

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Exam DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

Candidates for this exam must have solid knowledge and experience developing apps for Azure and working with Azure Cosmos DB database technologies. They should be proficient at developing applications by using the Core (SQL) API and SDKs, writing efficient queries and creating appropriate index policies, provisioning and managing resources in Azure, and creating server-side objects with JavaScript. They should be able to interpret JSON, read C# or Java code, and use PowerShell.

The English language version of this exam will be updated on August 4, 2022. Please download the skills measured document below to see what’s changing. If a localized version of this exam is available, it will be updated approximately eight weeks after this date.

Passing score: 700. Learn more about exam scores.

Part of the requirements for: Microsoft Certified: Azure Cosmos DB Developer Specialty

Download exam skills outline

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Skills measured

  • 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.
  • Optimize an Azure Cosmos DB solution (15–20%)

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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.

Microsoft DP-420 Korean Exam Syllabus Topics:

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

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