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  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 22, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 22, 2026
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  • Exam Code: DP-900 Korean
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  • Q & A: 332 Questions and Answers
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Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Professional salary

The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in

  • India - 12,10,327 INR
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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 File storage
  • 2. Describe Azure Cosmos DB
  • 3. Describe Azure Blob storage
  • 4. Describe Azure Table storage
- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
Topic 2: Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of structured data
  • 3. Describe features of unstructured data
- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
Topic 3: 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 MySQL
  • 2. Describe Azure SQL Managed Instance
  • 3. Describe Azure SQL Database
  • 4. Describe Azure Database for MariaDB
  • 5. Describe Azure Database for PostgreSQL
  • 6. Describe Azure SQL family of products
  • 7. Describe SQL Server on Azure Virtual Machines
Topic 4: Describe an analytics workload on Azure25-30%- Describe Azure data analytics services
  • 1. Describe Azure Databricks
  • 2. Describe Azure Synapse Analytics
  • 3. Describe Azure HDInsight
  • 4. Describe Azure Stream Analytics
  • 5. Describe Azure Data Factory
  • 6. Describe Microsoft Fabric
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI tools and workflow
- Describe analytics concepts
  • 1. Describe analytical workloads
  • 2. Describe data warehousing
  • 3. Describe transactional workloads
  • 4. Describe ETL and ELT processes

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