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

DP-900 Korean real exams

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

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Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • 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%)
  • Describe how to work with non-relational data on Azure (25-30%)

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 considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure Blob storage
  • 2. Describe Azure Table storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure File storage
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
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: Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MariaDB
  • 2. Describe Azure SQL Managed Instance
  • 3. Describe Azure SQL Database
  • 4. Describe Azure SQL family of products
  • 5. Describe Azure Database for MySQL
  • 6. Describe Azure Database for PostgreSQL
  • 7. Describe SQL Server on Azure Virtual Machines
- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
Topic 4: 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 ETL and ELT processes
  • 2. Describe analytical workloads
  • 3. Describe transactional workloads
  • 4. Describe data warehousing
- Describe Azure data analytics services
  • 1. Describe Azure HDInsight
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure Databricks
  • 4. Describe Azure Data Factory
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure Stream Analytics

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