Microsoft DP-900 Korean Exam Details & Actual Exam Questions

  • Exam Code/Number: DP-900 Korean
  • Exam Name/Title: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure Data Fundamentals
  • Exam Questions: 320
  • Updated On: Jul,24 2026
  • Certification Level: Fundamentals

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

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Microsoft DP-900 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Passing Score:700 / 1000
Exam Format:Multiple choice, Multiple select, Drag-and-drop, Scenario-based questions
Related Certifications:Azure Database Administrator Associate
Azure Data Engineer Associate
Azure Data Scientist Associate
Certificate Validity Period:Lifetime
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic, Chinese (Traditional)
Exam Price:$99 USD
Real Exam Qty:40–60
Exam Duration:60 minutes
Recommended Training:DP-900T00: Microsoft Azure Data Fundamentals
Microsoft Learn Free Learning Path
Exam Registration:Certiport (for students/educators)
Pearson VUE
Sample Questions:Microsoft DP-900 Korean Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Microsoft DP-900 Korean Exam Syllabus Topics:

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


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