Microsoft DP-900 Deutsch Q&A - in .pdf

  • DP-900 Deutsch pdf
  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Aug 14, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
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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.

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.

Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

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

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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