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

DP-900 Korean

Exam Code: DP-900-KR

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

Updated: Aug 30, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900 Korean Exam

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General Overview of Microsoft DP-900 Exam

The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.

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 core data concepts25–30%- Describe types of data
  • 1. Structured, semi-structured, and unstructured data
    • 2. File formats
      - 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
              Topic 2: Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
              • 1. Table Storage
                • 2. Queue Storage
                  • 3. File Storage
                    • 4. Blob Storage
                      - Describe non-relational data concepts
                      • 1. Use cases for non-relational data
                        • 2. Characteristics of NoSQL data
                          - Describe Azure Cosmos DB
                          • 1. Capabilities and features
                            • 2. Consistency levels and partitioning
                              • 3. APIs and data models
                                Topic 3: Describe an analytics workload on Azure25–30%- Describe real-time analytics
                                • 1. Stream processing concepts
                                  • 2. Azure Stream Analytics
                                    - Describe Azure analytics services
                                    • 1. Azure Synapse Analytics
                                      • 2. Azure Databricks
                                        • 3. Azure HDInsight
                                          • 4. Azure Data Lake Storage Gen2
                                            • 5. Microsoft Fabric
                                              - Describe big data and analytics concepts
                                              • 1. Modern data warehouse architecture
                                                • 2. Data lakes and data warehouses
                                                  • 3. Data ingestion and processing
                                                    - Describe data visualization
                                                    • 1. Data models and reports
                                                      • 2. Power BI capabilities
                                                        Topic 4: 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. Azure SQL Managed Instance
                                                                • 2. SQL Server on Azure Virtual Machines
                                                                  • 3. Azure SQL Database
                                                                    • 4. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                                      DP-900-KR Related Exams
                                                                      DP-900 - Microsoft Azure Data Fundamentals
                                                                      DP-900-Deutsch - Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
                                                                      DP-900J - Microsoft Azure Data Fundamentals (DP-900日本語版)
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