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

Microsoft DP-900 Korean exam
  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Sep 01, 2026
  • Q & A: 332 Questions and Answers
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About Microsoft DP-900 Korean Exam Questions

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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.

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What Are the Exam Topics?

Core data concepts

This topic majorly addresses the following skills:

  • 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.
  • 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.
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How to Register For Exam DP-900: Microsoft Azure Data Fundamentals?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-900&examname=Exam%20DP-900:%20Microsoft%20Azure%20Data%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-900

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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

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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 Data Lake Storage Gen2
      • 3. Azure Synapse Analytics
        • 4. Azure HDInsight
          • 5. Microsoft Fabric
            - Describe big data and analytics concepts
            • 1. Data lakes and data warehouses
              • 2. Modern data warehouse architecture
                • 3. Data ingestion and processing
                  - 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: Describe core data concepts25–30%- Describe roles and responsibilities
                          • 1. Data engineer, data analyst, database administrator
                            - Describe data workloads
                            • 1. Batch and streaming data
                              • 2. Transactional workloads
                                • 3. Analytical workloads
                                  - Describe types of data
                                  • 1. Structured, semi-structured, and unstructured data
                                    • 2. File formats
                                      Topic 3: Describe considerations for working with non-relational data on Azure15–20%- Describe non-relational data concepts
                                      • 1. Use cases for non-relational data
                                        • 2. Characteristics of NoSQL data
                                          - Describe Azure storage services
                                          • 1. Table Storage
                                            • 2. File Storage
                                              • 3. Blob Storage
                                                • 4. Queue Storage
                                                  - Describe Azure Cosmos DB
                                                  • 1. Consistency levels and partitioning
                                                    • 2. APIs and data models
                                                      • 3. Capabilities and features
                                                        Topic 4: Identify considerations for relational data on Azure20–25%- Describe relational data concepts
                                                        • 1. Query data with SQL
                                                          • 2. Normalization
                                                            • 3. Relationships, keys, constraints
                                                              - 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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