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

  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Aug 08, 2026
  • Q&As: 320 Questions and Answers

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About Microsoft DP-900 Deutsch Real Exam

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More about DP-900 Exam

In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Describe core data concepts25–30%- Describe types of data
  • 1. Structured, semi-structured, and unstructured data
    • 2. File formats
      - Describe data workloads
      • 1. Batch and streaming data
        • 2. Analytical workloads
          • 3. Transactional workloads
            - Describe roles and responsibilities
            • 1. Data engineer, data analyst, database administrator
              Describe an analytics workload on Azure25–30%- Describe real-time analytics
              • 1. Stream processing concepts
                • 2. Azure Stream Analytics
                  - Describe Azure analytics services
                  • 1. Azure Data Lake Storage Gen2
                    • 2. Azure HDInsight
                      • 3. Azure Databricks
                        • 4. Azure Synapse Analytics
                          • 5. Microsoft Fabric
                            - Describe big data and analytics concepts
                            • 1. Data ingestion and processing
                              • 2. Data lakes and data warehouses
                                • 3. Modern data warehouse architecture
                                  - Describe data visualization
                                  • 1. Power BI capabilities
                                    • 2. Data models and reports
                                      Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                      • 1. SQL Server on Azure Virtual Machines
                                        • 2. Azure SQL Database
                                          • 3. Open-source databases: PostgreSQL, MySQL, MariaDB
                                            • 4. Azure SQL Managed Instance
                                              - Describe relational data concepts
                                              • 1. Query data with SQL
                                                • 2. Normalization
                                                  • 3. Relationships, keys, constraints
                                                    Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                                                    • 1. Table Storage
                                                      • 2. Blob Storage
                                                        • 3. File Storage
                                                          • 4. Queue Storage
                                                            - Describe Azure Cosmos DB
                                                            • 1. Capabilities and features
                                                              • 2. Consistency levels and partitioning
                                                                • 3. APIs and data models
                                                                  - Describe non-relational data concepts
                                                                  • 1. Use cases for non-relational data
                                                                    • 2. Characteristics of NoSQL data

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