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

"Microsoft Azure Data Fundamentals (DP-900 Korean Version)", also known as DP-900 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 320 Q&As to your DP-900 Exam preparation. In the DP-900 exam resources, you will cover every field and category in Microsoft Certified: Azure Data Fundamentals Certification helping to ready you for your successful Microsoft Certification.

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure Data Fundamentals
  • Updated: Aug 06, 2026
  • No. of Questions: 320 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Preparation Process for Microsoft DP-900 Exam

The learners can use different training options that Microsoft offers to prepare for the DP-900 test. The first step in your preparation process is to go over the exam objectives in detail. They can be found on the official website. The resources to help understand these topics are also available on the vendor’s webpage. Microsoft comes with a paid instructor-led training as well as free learning paths as the best prep options for your certification test.

  • Online Learning Paths

    This option of learning is free and made up of seven paths with different modules for each. The candidates for this option are those with the ability to study on their own. The self-paced learning paths offer a comprehensive outline and lessons on the topics of the exam.

  • Instructor-Led Training

    This is a paid training course that is available in-classroom or as virtual classes. The Microsoft Azure Data Fundamentals course is designed to teach the candidates the fundamentals of the concepts of database in the Cloud environments. The students will be equipped with the basic skills in the domain of Cloud data services. They will also be able to develop foundational knowledge and skills in Cloud data services within Microsoft Azure.

  • Practice Test

    The official practice test is also available to help the examinees gain confidence in their test-taking skills. The candidates can use it to evaluate their readiness for the real exam. They can also get familiar with the pattern of the test and develop competence in answering the exam questions. The official practice test can be found on the Microsoft website.

  • Study Guide

    The Exam Ref DP-900: Microsoft Azure Data Fundamentals book is another good resource for preparation. Authored by Daniel A. Seara, Francesco Milano, this study guide covers the in-depth analysis of the topics and offers some practical skills that will help you take the test. The book also comes with the sample exam questions to help you ace your test.

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Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

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

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Skills measured

  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe core data concepts (15-20%)
  • Describe an analytics workload on Azure (25-30%)
  • Describe how to work with relational data on Azure (25-30%)

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
- Describe relational Azure data services
  • 1. Describe Azure Database for MariaDB
  • 2. Describe Azure Database for PostgreSQL
  • 3. Describe Azure SQL Managed Instance
  • 4. Describe Azure SQL family of products
  • 5. Describe Azure Database for MySQL
  • 6. Describe Azure SQL Database
  • 7. Describe SQL Server on Azure Virtual Machines
Topic 2: Describe core data concepts25-30%- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
- Describe ways to represent data
  • 1. Describe features of unstructured data
  • 2. Describe features of semi-structured data
  • 3. Describe features of structured data
Topic 3: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
- Describe non-relational Azure data services
  • 1. Describe Azure File storage
  • 2. Describe Azure Blob storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure Table storage
Topic 4: Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI reports and dashboards
  • 2. Describe Power BI
  • 3. Describe Power BI tools and workflow
- Describe Azure data analytics services
  • 1. Describe Azure Synapse Analytics
  • 2. Describe Azure HDInsight
  • 3. Describe Azure Data Factory
  • 4. Describe Microsoft Fabric
  • 5. Describe Azure Databricks
  • 6. Describe Azure Stream Analytics
- Describe analytics concepts
  • 1. Describe transactional workloads
  • 2. Describe ETL and ELT processes
  • 3. Describe analytical workloads
  • 4. Describe data warehousing

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