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

  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Sep 07, 2026     Q & A: 332 Questions and Answers

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Microsoft DP-900 exam is a 60-minute exam that consists of 40-60 multiple-choice questions. DP-900-KR exam can be taken online or in-person at a testing center. The passing score for the exam is 700 out of 1000. DP-900-KR exam fee is $99, and it can be taken in multiple languages, including English, Chinese, German, Japanese, and Spanish.

The Microsoft DP-900-KR exam covers a wide range of topics, including core data concepts, relational data in Azure, non-relational data in Azure, analytics workloads in Azure, and data processing in Azure. DP-900-KR exam is designed to test your knowledge of these topics and your ability to apply them in real-world scenarios. Passing the exam demonstrates your understanding of data concepts and your ability to work with data in the Azure environment.

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

Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
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 SQL family of products
  • 2. Describe Azure SQL Database
  • 3. Describe SQL Server on Azure Virtual Machines
  • 4. Describe Azure Database for MariaDB
  • 5. Describe Azure SQL Managed Instance
  • 6. Describe Azure Database for MySQL
  • 7. Describe Azure Database for PostgreSQL
Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of unstructured data
  • 2. Describe features of semi-structured data
  • 3. Describe features of 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 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 HDInsight
  • 3. Describe Azure Stream Analytics
  • 4. Describe Microsoft Fabric
  • 5. Describe Azure Data Factory
  • 6. Describe Azure Synapse Analytics
- Describe analytics concepts
  • 1. Describe analytical workloads
  • 2. Describe ETL and ELT processes
  • 3. Describe data warehousing
  • 4. Describe transactional workloads
Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
- 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

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