Microsoft DP-900 Korean valid study 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: Aug 12, 2026
  • Q&As: 332 Questions and Answers

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What should you know about the Microsoft DP-900 exam?

The Microsoft DP-900 exam is 60 minutes long and consists of 40-60 questions of various types. Some of these formats may include multiple choice, active screen, drag and drop, build list, best answer, short answer, and case studies, among others. The candidates can find the examples of these question types on the official website. This certification test is designed to evaluate the competence of the professionals in using non-relational and relational data on Azure, as well as the analytics workload that is available on Azure. The exam fee is $99 and the applicants must pay it before registering for and scheduling their test. To complete this exam on the first try, they must achieve at least 720 points on a scale of 100-1000. The languages available for this test include English, German, Korean, Spanish, French, Japanese, and Simplified Chinese.

How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

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Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%

  • Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
  • Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
  • Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
  • Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.

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

Microsoft DP-900 Korean Exam Syllabus Topics:

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

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