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

DP-900 Korean testking pdf

Exam Code: DP-900-KR

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

Updated: Aug 23, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900 Korean Exam

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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.

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.
  • 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.
  • 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.

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More about DP-900 Exam

In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.

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

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Core Data Concepts25-30%- Roles and responsibilities in data work
- Relational vs non-relational data
- Data analytics workloads overview
- Types of core data workloads
Non-Relational Data in Azure15-20%- Data processing options for non-relational data
- Azure storage services
  • 1. Azure Blob Storage
    • 2. Azure Table Storage
      • 3. Azure Cosmos DB
        - Non-relational data concepts
        Analytics Workloads in Azure25-30%- Data ingestion and processing
        - Data visualization and reporting
        - Azure analytics services
        • 1. Azure Data Lake Storage
          • 2. Power BI
            • 3. Azure Synapse Analytics
              - Data analytics concepts
              Relational Data in Azure20-25%- Querying relational data
              - Azure relational data services
              • 1. Azure SQL Database
                • 2. SQL Server on Azure VMs
                  • 3. Azure SQL Managed Instance
                    - Relational data concepts

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