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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Learn about the importance of the Microsoft DP-420 Certification Exam

These days, every organization is moving towards cloud-based solutions to provide better services to their customers. Moreover, companies are investing heavily in their cloud-based solutions to save a lot of money and time. Microsoft Azure is a popular cloud-based solution that is used by every company to develop their cloud-based solutions. Microsoft Azure offers a lot of features and services to its customers that help them to build and deploy applications. Moreover, this cloud-based solution is used by every IT professional to build and deploy their applications. Therefore, if you want to get a job in a reputable company, you must have a good knowledge of Microsoft Azure.

DP-420 Dumps has a complete set of exam dumps for the DP-420 exam. This is the only source of information that you will need to prepare for the DP-420 certification exam. You can also get help from the braindumps of the DP-420 exam. Microsoft DP-420 Certification Exam is one of the most common certifications that every IT professional must pass in order to get a job in a reputable organization. So, it is very important for every IT professional to prepare for the DP-420 certification exam. The DP-420 certification exam is designed to test the knowledge and skills of the candidates for designing and implementing cloud-native applications using Microsoft Azure Cosmos DB database technologies. Therefore, this certification exam is very important for every IT professional. The updates to this certification exam will be released by Microsoft on a regular basis.

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

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Skills measured

  • Design and implement data models (35–40%)
  • Maintain an Azure Cosmos DB solution (25–30%)
  • Integrate an Azure Cosmos DB solution (5–10%)
  • Optimize an Azure Cosmos DB solution (15–20%)
  • Design and implement data distribution (5–10%)
  • 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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Microsoft DP-420 Korean Exam Syllabus Topics:

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

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

당신은 인텔 계열사에서 일하고 있는데, 이 회사는 4개국에 걸쳐 고객을 보유하고 있으며, 1, 2개국에는 수십만 명의 고객이 있고, 3, 4개국에는 수천 명의 고객이 있습니다.
각 국가별 요청량은 하루 중 매시간 총 약 50,000 RU/s에 달합니다. 회사 애플리케이션 팀은 이 컨테이너의 파티션 키로 countryId를 사용할 것을 제안합니다.
다음 중 참인 진술은 무엇입니까?

  • A. 이 파티션 키는 처리량 핫 파티션을 방지합니다.
  • B. 이 파티션 키로 인해 저장소 핫 파티션이 발생할 수 있습니다.
  • C. 위의 모든 것
  • D. 이 파티션 키는 countryId로 필터링할 때 팬아웃 현상을 일으킵니다.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).

참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 각 문제에는 제시된 목표를 달성할 수 있는 고유한 해결책이 포함되어 있습니다. 일부 문제 세트에는 정답이 두 개 이상일 수 있으며, 정답이 없는 문제 세트도 있습니다.
이 섹션에서 질문에 답변한 후에는 해당 질문으로 돌아갈 수 없습니다. 따라서 이 질문들은 검토 화면에 나타나지 않습니다.
자동 확장 처리량을 사용하는 account 1이라는 이름의 Azure Cosmos DB for NoSQL 계정이 있습니다.
account1의 컨테이너에 대한 초당 정규화된 요청 단위가 특정 값을 초과할 때 Azure 함수를 실행해야 합니다.
해결 방법: Azure Monitor 경고를 구성하여 해당 함수를 트리거합니다.
이것이 목표를 달성합니까?

  • A. 아니요
  • B. 예
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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핫스팟 질문
다음 Azure Resource Manager(ARM) 템플릿을 사용하여 Azure 리소스를 프로비저닝합니다.

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: No
An alert is triggered when the DB key is regenerated, not when it is used.
Note: The az cosmosdb keys regenerate command regenerates an access key for a Azure Cosmos DB database account.
Box 2: No
Only an SMS action will be taken.
Emailreceivers is empty so no email action is taken.
Box 3: No
The trigger is fired when the database account has a new key regenerated not when an item with a new partition key value is created.
Reference: https://docs.microsoft.com/en-us/cli/azure/cosmosdb/keys

Azure Cosmos DB for NoSQL 계정에서 데이터를 수집하도록 Apache Kafka 인스턴스를 구성해야 합니다. telemetry라는 컨테이너의 데이터를 iot라는 Kafka 토픽에 추가해야 합니다.
해당 솔루션은 데이터를 압축된 바이너리 형식으로 저장해야 합니다.
솔루션에 포함해야 할 세 가지 구성 항목은 무엇입니까? 각 정답은 솔루션의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.

  • A. "connect.cosmos.containers.topicmap": "iot"
  • B. "connector.class": "com.azure.cosmos.kafka.connect.source.CosmosDBSourceConnector"
  • C. "connector.class": "com.azure.cosmos.kafka.connect.source.CosmosDBSinkConnector"
  • D. "key.converter": "io.confluent.connect.avro.AvroConverter"
  • E. "connect.cosmos.containers.topicmap": "iot#telemetry"
  • F. "key.converter": "org.apache.kafka.connect.json.JsonConverter"
Reveal Solution  Discussion  0

Correct Answer: B,D,E  🗳️

Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).

참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 각 문제에는 제시된 목표를 충족할 수 있는 고유한 답이 포함되어 있습니다. 일부 문제 세트에는 정답이 두 개 이상 있을 수 있고, 다른 문제 세트에는 정답이 없을 수 있습니다.
이 섹션의 질문에 답변한 후에는 해당 섹션으로 돌아갈 수 없습니다. 따라서 해당 질문은 복습 화면에 표시되지 않습니다.
Azure Cosmos DB Core(SQL) API 계정에 container1이라는 컨테이너가 있습니다.
Azure Stream Analytics 작업에 대한 참조 데이터로 container1의 내용을 사용할 수 있도록 해야 합니다.
솔루션: Azure Cosmos DB Core(SQL) API를 입력으로 사용하고 Azure Blob Storage를 출력으로 사용하는 Azure Data Factory 파이프라인을 만듭니다.
이것이 목표를 달성하는가?

  • A. 아니요
  • B. 네
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for VCE4Plus members. You can sign-up / login (it's free).

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