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: Jul 21, 2026
  • Q & A: 320 Questions and Answers
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  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
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  • Updated: Jul 21, 2026
  • Q & A: 320 Questions and Answers
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  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Jul 21, 2026
  • Q & A: 320 Questions and Answers
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Microsoft DP-900 Practice Test Questions, Microsoft DP-900 Exam Practice Test Questions

The Microsoft DP-900 exam is a qualifying test for obtaining the Microsoft Certified: Azure Data Fundamentals certification. This exam is intended for the entry-level professionals looking to take up a career path in the IT field. Although it is not a requirement for any advanced-level certificate, the DP-900: Microsoft Azure Data Fundamentals test is a great foundation to prepare the individuals for other Azure role-based options. Thus, the certified candidates can pursue two certifications: Azure Data Engineer Associate or Azure Database Administrator Associate.

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So, What Is the Verdict?

The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!

Schedule exam

Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

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

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DP-900 Deutsch Practice Dumps

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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