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  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Sep 01, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900 Deutsch
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How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.

The development of science and technology makes our life more comfortable and convenient, which also brings us more challenges. Many company requests candidates not only have work experiences,but also some professional certificates. So, it is very neccessary to get the Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) exam certification for a better future.

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

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