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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 07, 2026
  • Q & A: 320 Questions and Answers
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About Microsoft DP-900 Korean Exam

How to operate with non-relational data on Azure

The main concepts covered in this domain include:

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

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