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Microsoft DP-900 Deutsch

DP-900-Deutsch

Exam Code: DP-900-Deutsch

Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)

Updated: Sep 03, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900 Deutsch Exam

Skills measured

  • Describe how to work with relational data on Azure (25-30%)
  • Describe core data concepts (15-20%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe an analytics workload on Azure (25-30%)

How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
  • Step 2: Sign up/log in to the Pearson VUE account
  • Step 3: Select a local center based on your country, date, time and confirm with a payment method.

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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