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Microsoft Certified: Azure Data Fundamentals DP-900 Korean

DP-900 Korean

Exam Code: DP-900-KR

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

Updated: Jul 22, 2026

Q&A Number: 320 Q&As

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About Microsoft DP-900 Korean Exam Braindumps

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Skills measured

  • Describe how to work with relational data on Azure (25-30%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe core data concepts (15-20%)
  • Describe an analytics workload on Azure (25-30%)

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So, What Is the Verdict?

The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!

Explain Analytics Workloads on Azure: 25-30%

  • 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 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 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.
  • 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.

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

DP-900 Korean exam certification is one of the most important certification recently. When qualified by the DP-900 Korean certification, you will get a good job easily with high salary. Besides, the career opportunities will be open for a certified person. Now, you can get the valid and best useful DP-900 Korean exam training material. DP-900 Korean will help you to strengthen your technical knowledge and allow you pass at your first try.

DP-900 Korean exam dumps

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The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.

This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.

Microsoft DP-900 Korean Exam Syllabus Topics:

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

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