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

DP-900 Korean actual test
  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Sep 02, 2026
  • Q & A: 332 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $69.99  

About Microsoft DP-900 Korean Exam

Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

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What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Type of Questions: This test format is multiple choice.
  • Passing score: 700 / 1000
  • Length of Examination: 50 mins
  • This is the beta exam, would be available on or around March 31, 2020.
  • Language: English

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Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

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

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