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Exam Code: DP-420
Exam Name: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Azure Cosmos DB Developer Specialty
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No matter your years in IT, the DP-420 Korean exam demands real preparation — ActualVCE supports newcomers and veterans alike with 281+ Q&As covering the Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) objectives, verified answers, and support that answers around the clock.

Microsoft DP-420 Korean Exam Syllabus Topics:

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

DP-420 Korean Exam Facts for Careful Buyers

The official Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) outline assigns its weights like this:
  • Design and implement data distribution (5-10%)
  • Optimize an Azure Cosmos DB solution (15-20%)
  • Maintain an Azure Cosmos DB solution (25-30%)
Map your study plan to those weights first, and let ActualVCE practice sessions verify each domain as you go.
Roughly 40-60 questions in 100-120 minutes. Rehearsing at that exact pace with 281 practice questions for the DP-420 Korean exam turns the real session into a familiar routine rather than a surprise.
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Because the value is verifiable before you spend anything. 281 practice questions for the DP-420 Korean exam carry verified answers, refreshed daily against the live Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) blueprint; the demo proves the quality for free; delivery lands about a minute after payment; and the conditional refund policy stands behind the rest. Careful buyers rarely find all four in one place.
No formal prerequisite exams are required. Candidates should have experience developing Azure solutions and working with Azure Cosmos DB.
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Microsoft Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB (DP-420 Korean Version) Sample Questions:

Azure Cosmos DB에서 서로 다른 컨테이너 간의 참조 무결성을 관리하는 가장 최적의 방법은 무엇입니까?

  • A. 앱에서 한 컨테이너를 변경하는 경우, 참조된 컨테이너에도 해당 변경 사항이 복제되도록 하십시오.
  • B. 컨테이너에 발생한 변경 사항을 주기적으로 검색하고 해당 변경 사항을 참조된 컨테이너에 복제하는 Azure Cosmos DB 함수를 생성합니다.
  • C. Azure Cosmos DB용 Azure Function 트리거를 사용하여 변경 피드 프로세서를 활용해 참조된 컨테이너를 업데이트합니다.
  • D. 모두 효율이 동일합니다
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).

핫스팟 질문
여러 Azure 구독을 사용하는 개발 환경이 있습니다.
각 구독에 하나의 데이터베이스가 포함된 단일 Azure Cosmos DB 계정을 배포할 계획입니다.
Azure Resource Manager(ARM) 템플릿을 사용하여 배포를 자동화해야 합니다.
해당 솔루션은 다음 요구 사항을 충족해야 합니다.
- Azure Cosmos DB 관련 요금을 최소화합니다.
- 초당 사용 가능한 요청 단위(RU/s)를 최대화합니다.
비용이 증가하고 있습니다.
이 양식을 어떻게 작성해야 할까요? 답변하려면 답변란에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:

고객이 생성한 콘텐츠를 DB1이라는 이름의 Azure Cosmos DB for NoSQL 데이터베이스에 저장하는 App1이라는 웹 앱을 개발하고 있습니다.
Azure AI Search 인덱서를 구성하여 DB1에서 Azure AI Search 인덱스로 문서를 자동으로 수집합니다.
App1은 REST API를 사용하여 문서에 대한 고급 검색 및 검색 기능을 제공합니다.
텍스트 데이터를 검색하기 위해 Azure AI Search에서 사용할 수 있는 쿼리 유형을 파악해야 합니다.
해결책은 개발 노력을 최소화해야 합니다.
어떤 두 가지 쿼리 유형을 사용할 수 있습니까? 각 정답은 완전한 해결책을 제시합니다.
참고: 정답 하나당 1점입니다.

  • A. 와일드카드
  • B. 음성학
  • C. 접두사
  • D. 에지 n-그램 토큰화
  • E. 정규 표현식
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).

핫스팟 질문
두 개의 Azure Cosmos DB for NoSQL 계정을 사용할 계획입니다. 두 계정 모두 투명 데이터 암호화(TDE)를 사용할 것입니다.
고객 관리 키를 Azure Key Vault에 저장할 계획입니다.
다음 요구 사항을 충족하도록 보안을 구성해야 합니다.
- 제어 평면상의 모든 작업에 대한 감사가 이루어지도록 하십시오.
- 인증 시 두 계정 모두 동일한 신원을 사용하는지 확인하십시오.
키 볼트로 이동합니다.
각 요구사항을 충족하려면 어떻게 해야 할까요? 답변하려면 답변란에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:

핫스팟 질문
Container1이라는 이름의 컨테이너가 포함된 Azure Cosmos DB for NoSQL 계정이 있습니다.
컨테이너1의 기본 인덱싱 정책에 복합 인덱스를 추가합니다. 인덱스의 정의는 다음과 같습니다.
이름 ASC, 나이 ASC
귀하는 Container1에 대해 다음 쿼리를 실행할 계획입니다.
선택하다 *
C에서
c.firstName이 "John"인 경우
그리고 c.age > 21
그리고 c._ts < 1612213196
쿼리 성능을 최적화하려면 추가 인덱스를 생성해야 합니다.
추가 색인은 어떻게 작성해야 합니까? 답변하려면 답변란에서 적절한 옵션을 선택하십시오.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:

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