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  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 26, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 26, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900 Korean
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Exam Details

The Microsoft DP-900 exam has the following features:

  • The number of questions is not disclosed but you should expect 40-60 items
  • The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.
  • It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.

Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.

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

What Are the Exam Topics?

Core data concepts

This topic majorly addresses the following skills:

  • Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
  • Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analytics Workloads in Azure25-30%- Data analytics concepts
- Azure analytics services
  • 1. Azure Data Lake Storage
    • 2. Azure Synapse Analytics
      • 3. Power BI
        - Data ingestion and processing
        - Data visualization and reporting
        Topic 2: Core Data Concepts25-30%- Data analytics workloads overview
        - Types of core data workloads
        - Relational vs non-relational data
        - Roles and responsibilities in data work
        Topic 3: Relational Data in Azure20-25%- Querying relational data
        - Relational data concepts
        - Azure relational data services
        • 1. SQL Server on Azure VMs
          • 2. Azure SQL Database
            • 3. Azure SQL Managed Instance
              Topic 4: Non-Relational Data in Azure15-20%- Non-relational data concepts
              - Azure storage services
              • 1. Azure Cosmos DB
                • 2. Azure Table Storage
                  • 3. Azure Blob Storage
                    - Data processing options for non-relational data

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