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

DP-900 Korean real exams

Exam Code: DP-900-KR

Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)

Updated: Sep 01, 2026

Q & A: 332 Questions and Answers

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Explain Analytics Workloads on Azure: 25-30%

  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.

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What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Language: English
  • Length of Examination: 50 mins
  • Type of Questions: This test format is multiple choice.
  • This is the beta exam, would be available on or around March 31, 2020.
  • Passing score: 700 / 1000
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)

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

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Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Non-Relational Data in Azure15-20%- Data processing options for non-relational data
- Non-relational data concepts
- Azure storage services
  • 1. Azure Cosmos DB
    • 2. Azure Table Storage
      • 3. Azure Blob Storage
        Relational Data in Azure20-25%- Querying relational data
        - Azure relational data services
        • 1. Azure SQL Database
          • 2. Azure SQL Managed Instance
            • 3. SQL Server on Azure VMs
              - Relational data concepts
              Analytics Workloads in Azure25-30%- Data ingestion and processing
              - Data analytics concepts
              - Data visualization and reporting
              - Azure analytics services
              • 1. Azure Data Lake Storage
                • 2. Azure Synapse Analytics
                  • 3. Power BI
                    Core Data Concepts25-30%- Data analytics workloads overview
                    - Relational vs non-relational data
                    - Roles and responsibilities in data work
                    - Types of core data workloads

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