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  • Exam Code: DP-420-KR
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version)
  • Last Updated: Oct 14, 2026
  • Q & A: 281 Questions and Answers
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  • Exam Code: DP-420-KR
  • Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version)
  • Last Updated: Oct 14, 2026
  • Q & A: 281 Questions and Answers
  • Uses the World Class DP-420 Korean Testing Engine. Free updates for one year. Real DP-420 Korean exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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Skills measured

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

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

Hit the link below, to know more about the Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (beta)

Official link of the Microsoft DP-420 Certification Exam

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Microsoft DP-420 Korean Exam Syllabus Topics:

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

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

Question #1

핫스팟 질문
가족에 대한 데이터를 저장하는 컨테이너가 있습니다.
다음은 샘플 문서입니다.

컨테이너에 대해 다음 쿼리를 실행합니다.

다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: Yes
The query return a value because "c" is represent the entire document and not only the parent's array.
Box 2: No
The cross join is not on the pets.
Box 3: Yes
The cross join is not on the pets.
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql/sql-query-join

Question #2

여러 쓰기 지역이 있는 Azure Cosmos DB for NoSQL 계정이 있습니다.
데이터베이스를 대상으로 하는 요청이 초당 사용 가능한 요청 단위(RU/s)를 초과할 경우 알림을 받아야 합니다.
어떤 Azure Monitor 신호를 사용해야 할까요?

  • A. 문서 할당량
  • B. 지역 제거됨
  • C. 총 요청 단위
  • D. 문서 수
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

Azure Cosmos DB for NoSQL 계정에 주문에 대한 데이터를 저장하는 컨테이너가 있습니다.
다음은 주문서 샘플입니다.

문서의 크기는 최대 2KB입니다.
매일 100만 건의 주문을 받을 계획입니다.
고객은 자신의 과거 주문 내역을 자주 볼 수 있습니다.
order-Date를 파티션 키로 사용할지 여부를 평가하고 있습니다.
order-Date를 파티션 키로 사용하면 어떤 두 가지 효과가 있습니까? 각 정답은 완전한 해결책을 제시합니다.
참고: 정답 하나당 1점입니다.

  • A. 파티션당 최대 저장 용량을 초과하게 됩니다.
  • B. 파티션 키 값의 최대 개수를 초과하게 됩니다.
  • C. 항상 핫 파티션이 존재합니다.
  • D. 쿼리는 여러 파티션에서 실행됩니다.
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

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Question #4

핫스팟 질문
다음 그림과 같이 인덱싱 정책이 있습니다.
\

아래 드롭다운 메뉴를 이용하여 그림에 제시된 정보를 바탕으로 각 질문에 대한 적절한 답을 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
Box 1: ORDER BY c.name DESC, c.age DESC
Queries that have an ORDER BY clause with two or more properties require a composite index.
The following considerations are used when using composite indexes for queries with an ORDER BY clause with two or more properties:
If the composite index paths do not match the sequence of the properties in the ORDER BY clause, then the composite index can't support the query.
The order of composite index paths (ascending or descending) should also match the order in the ORDER BY clause.
The composite index also supports an ORDER BY clause with the opposite order on all paths.
Box 2: At the same time as the item creation
Azure Cosmos DB supports two indexing modes:
Consistent: The index is updated synchronously as you create, update or delete items. This means that the consistency of your read queries will be the consistency configured for the account.
None: Indexing is disabled on the container.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/index-policy

Question #5

Azure Cosmos DB for NoSQL 데이터베이스(DB1)가 있으며, 이 데이터베이스는 Container1이라는 컨테이너를 호스팅합니다.
App1이라는 글로벌 전자상거래 앱이 있는데, 이 앱은 Container1에서 주문 데이터를 실시간으로 읽고 씁니다.
DB1에 대한 지표를 보면 많은 요청에서 다음과 같은 오류 메시지가 반환되는 것을 알 수 있습니다.
HTTP 상태 코드 429 (요청 속도가 너무 높음)
429 오류를 반환하는 요청 수를 줄일 수 있는 해결책을 제시해야 합니다. 이 해결책은 비용을 최소화해야 합니다.
무엇을 추천하시겠습니까?

  • A. App1 코드에서 실패한 요청에 대한 최대 재시도 횟수를 늘립니다.
  • B. 공간 인덱스를 추가합니다.
  • C. 복합 인덱스를 추가합니다.
  • D. 캐시를 통합합니다.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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