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

  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Jul 19, 2026     Q & A: 320 Questions and Answers

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Microsoft DP-900 or Microsoft Azure Data Fundamentals is a certification exam that focuses on validating a candidate's knowledge of fundamental concepts related to data storage and processing in the Azure ecosystem. This foundational-level certification exam is intended for anyone who wants to learn about data management and storage in the cloud environment, and it is an excellent starting point for individuals who are new to the Azure platform.

How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).

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

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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