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

DP-900 Korean real exams

Exam Code: DP-900-KR

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

Updated: Sep 19, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900 Korean Exam Collection

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

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Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

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

Microsoft DP-900 Korean Exam Syllabus Topics:

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

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