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

"Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)", also known as DP-900 exam, is a Microsoft Certification. With the complete collection of questions and answers, UpdateDumps has assembled to take you through 340 Q&As to your DP-900 Exam preparation. In the DP-900 exam resources, you will cover every field and category in Microsoft Certified: Azure Data Fundamentals Certification helping to ready you for your successful Microsoft Certification.

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  • Updated on: Oct 17, 2026
  • No. of Questions: 340 Questions & Answers

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  • Updated on: Oct 17, 2026
  • No. of Questions: 340 Questions & Answers

Skills measured

  • Describe an analytics workload on Azure (25-30%)
  • 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%)

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

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The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.

This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) Sample Questions:

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Reference:
https://www.sqlshack.com/graph-database-implementation-with-azure-cosmos-db-using-the-api/

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