Microsoft DP-900 Korean Valid Q&A - in .pdf

  • DP-900 Korean pdf
  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Oct 19, 2026
  • Q & A: 340 Questions and Answers
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Microsoft DP-900 Korean Valid Q&A - Testing Engine

  • DP-900 Korean Testing Engine
  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Oct 19, 2026
  • Q & A: 340 Questions and Answers
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    Free updates for one year.
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The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25–30%- Describe real-time analytics
  • 1. Azure Stream Analytics
    • 2. Stream processing concepts
      - Describe data visualization
      • 1. Power BI capabilities
        • 2. Data models and reports
          - Describe Azure analytics services
          • 1. Azure Databricks
            • 2. Microsoft Fabric
              • 3. Azure Synapse Analytics
                • 4. Azure HDInsight
                  • 5. Azure Data Lake Storage Gen2
                    - Describe big data and analytics concepts
                    • 1. Modern data warehouse architecture
                      • 2. Data ingestion and processing
                        • 3. Data lakes and data warehouses
                          Topic 2: Identify considerations for relational data on Azure20–25%- Describe relational data concepts
                          • 1. Relationships, keys, constraints
                            • 2. Query data with SQL
                              • 3. Normalization
                                - Describe Azure relational data services
                                • 1. Azure SQL Managed Instance
                                  • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
                                    • 3. SQL Server on Azure Virtual Machines
                                      • 4. Azure SQL Database
                                        Topic 3: Describe considerations for working with non-relational data on Azure15–20%- Describe non-relational data concepts
                                        • 1. Characteristics of NoSQL data
                                          • 2. Use cases for non-relational data
                                            - Describe Azure Cosmos DB
                                            • 1. Capabilities and features
                                              • 2. APIs and data models
                                                • 3. Consistency levels and partitioning
                                                  - Describe Azure storage services
                                                  • 1. Blob Storage
                                                    • 2. Table Storage
                                                      • 3. Queue Storage
                                                        • 4. File Storage
                                                          Topic 4: Describe core data concepts25–30%- Describe types of data
                                                          • 1. Structured, semi-structured, and unstructured data
                                                            • 2. File formats
                                                              - Describe roles and responsibilities
                                                              • 1. Data engineer, data analyst, database administrator
                                                                - Describe data workloads
                                                                • 1. Analytical workloads
                                                                  • 2. Transactional workloads
                                                                    • 3. Batch and streaming data

                                                                      Microsoft Azure Data Fundamentals (DP-900 Korean Version) Sample Questions:

                                                                      Question #1

                                                                      Azure SQL 데이터베이스를 쿼리하는 데 사용할 수 있는 명령줄 도구는 무엇인가요?

                                                                      • A. bcp
                                                                      • B. Azure CLI
                                                                      • C. sqlcmd
                                                                      • D. azdata
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: C  🗳️

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

                                                                      Question #2

                                                                      비즈니스 질문에 답하는 데 사용할 수 있는 분석 유형을 매치하세요.
                                                                      답변하려면 왼쪽 열에서 해당 분석 유형을 오른쪽 질문으로 드래그하세요. 각 분석 유형은 한 번, 여러 번 또는 전혀 사용하지 않을 수 있습니다.
                                                                      참고: 정답을 맞힐 때마다 1점이 주어집니다.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:


                                                                      Explanation:
                                                                      Box 1: Diagnostic
                                                                      Diagnostic Analytics: At this stage you can begin to answer some of those why questions. Historical data can begin to be measured against other data to answer the question of why something happened in the past. This is the process of gathering and interpreting different data sets to identify anomalies, detect patters, and determine relationships.
                                                                      Box 2: Prescriptive
                                                                      Prescriptive analytics is a combination of data, mathematical models, and various business rules to infer actions to influence future desired outcomes.
                                                                      Box 3: Cognitive
                                                                      Reference:
                                                                      https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/
                                                                      https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/

                                                                      Question #3

                                                                      애플리케이션의 사용자 상호작용 및 사용 패턴을 모니터링하려면 데이터를 분석하고 시각화해야 합니다.
                                                                      이것은 어떤 유형의 작업 부하에 해당하는 예시입니까?

                                                                      • A. 배치
                                                                      • B. 거래
                                                                      • C. 스트리밍
                                                                      • D. 분석적
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: D  🗳️

                                                                      Question #4

                                                                      Core(SQL) API를 사용하는 Azure Cosmos DB 계정이 있습니다.
                                                                      컨테이너 수준에서 구성할 수 있는 두 가지 설정은 무엇입니까? 각 정답은 완전한 솔루션을 제시합니다. (2개를 선택하십시오.) 참고: 올바른 선택은 각각 1점의 가치가 있습니다.

                                                                      • A. 읽기 영역
                                                                      • B. 처리량
                                                                      • C. API
                                                                      • D. 파티션 키
                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer: B,D  🗳️

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

                                                                      Question #5

                                                                      문장을 완성하려면 답변란에서 적절한 옵션을 선택하세요.

                                                                      Reveal Solution  Discussion  0

                                                                      Correct Answer:



                                                                      Reference:
                                                                      https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace

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