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: Jul 23, 2026

Q & A: 320 Questions and Answers

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The DP-900 certification exam is designed to test the candidate's knowledge of various Azure data services, including Azure SQL Database, Azure Cosmos DB, Azure Data Factory, Azure Stream Analytics, and Azure Blob Storage. It also covers topics such as data security, data privacy, and compliance. DP-900-KR exam is intended for individuals who have a basic understanding of data concepts and are looking to gain a deeper understanding of Azure data services and technologies.

Microsoft DP-900, also known as the Microsoft Azure Data Fundamentals Certification Exam, is an entry-level certification exam that validates the basic knowledge and understanding of cloud data services and Azure data services. DP-900-KR exam is designed for individuals who are interested in pursuing a career in data and want to demonstrate their competence in Azure data services. DP-900-KR exam is ideal for aspiring data analysts, data scientists, data engineers, or data architects who are looking to validate their knowledge and skillset in Azure data services.

Microsoft DP-900 certification exam is a valuable credential for professionals seeking to demonstrate their expertise in handling data in Microsoft Azure. Microsoft Azure Data Fundamentals (DP-900 Korean Version) certification is designed for individuals who are interested in building a career in data analytics or data science. The DP-900 exam is an entry-level certification that requires no prior experience or knowledge of Azure. It is the first step towards earning more advanced certifications like the Microsoft Certified: Azure Data Scientist Associate.

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

Microsoft DP-900 Korean Exam Syllabus Topics:

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

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