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

  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Jul 26, 2026     Q & A: 320 Questions and Answers

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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%

  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.

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

Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe SQL Server on Azure Virtual Machines
  • 2. Describe Azure Database for PostgreSQL
  • 3. Describe Azure Database for MySQL
  • 4. Describe Azure SQL family of products
  • 5. Describe Azure SQL Database
  • 6. Describe Azure SQL Managed Instance
  • 7. Describe Azure Database for MariaDB
- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
Describe core data concepts25-30%- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of structured data
Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI
  • 2. Describe Power BI tools and workflow
  • 3. Describe Power BI reports and dashboards
- Describe Azure data analytics services
  • 1. Describe Azure Databricks
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure Synapse Analytics
  • 4. Describe Azure Stream Analytics
  • 5. Describe Azure Data Factory
  • 6. Describe Azure HDInsight
- Describe analytics concepts
  • 1. Describe ETL and ELT processes
  • 2. Describe data warehousing
  • 3. Describe transactional workloads
  • 4. Describe analytical workloads
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 Blob storage
  • 2. Describe Azure File storage
  • 3. Describe Azure Table storage
  • 4. Describe Azure Cosmos DB

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