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Microsoft DP-900 Korean

DP-900-KR

Exam Code: DP-900-KR

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

Updated: Jul 30, 2026

Q & A: 320 Questions and Answers

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About Microsoft DP-900 Korean Exam

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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.

Workload analytics on Azure

  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.

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

Universal answer template

Everything needs a right way. The good method can bring the result with half the effort, the same different exam also needs the good test method. Our DP-900 Korean study questions in every year are summarized based on the test purpose, every answer is a template, there are subjective and objective exams of two parts, we have in the corresponding modules for different topic of deliberate practice. To this end, our DP-900 Korean training materials in the qualification exam summarize some problem - solving skills, and induce some generic templates. The user can scout for answer and scout for score based on the answer templates we provide, so the universal template can save a lot of precious time for the user.

What job roles can you pursue after passing the Microsoft DP-900 exam?

Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.

Microsoft DP-900 Korean Exam Syllabus Topics:

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

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