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 17, 2026
  • Q & A: 320 Questions and Answers

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Preparation Process for Microsoft DP-900 Exam

The learners can use different training options that Microsoft offers to prepare for the DP-900 test. The first step in your preparation process is to go over the exam objectives in detail. They can be found on the official website. The resources to help understand these topics are also available on the vendor’s webpage. Microsoft comes with a paid instructor-led training as well as free learning paths as the best prep options for your certification test.

  • Online Learning Paths

    This option of learning is free and made up of seven paths with different modules for each. The candidates for this option are those with the ability to study on their own. The self-paced learning paths offer a comprehensive outline and lessons on the topics of the exam.

  • Practice Test

    The official practice test is also available to help the examinees gain confidence in their test-taking skills. The candidates can use it to evaluate their readiness for the real exam. They can also get familiar with the pattern of the test and develop competence in answering the exam questions. The official practice test can be found on the Microsoft website.

  • Instructor-Led Training

    This is a paid training course that is available in-classroom or as virtual classes. The Microsoft Azure Data Fundamentals course is designed to teach the candidates the fundamentals of the concepts of database in the Cloud environments. The students will be equipped with the basic skills in the domain of Cloud data services. They will also be able to develop foundational knowledge and skills in Cloud data services within Microsoft Azure.

  • Study Guide

    The Exam Ref DP-900: Microsoft Azure Data Fundamentals book is another good resource for preparation. Authored by Daniel A. Seara, Francesco Milano, this study guide covers the in-depth analysis of the topics and offers some practical skills that will help you take the test. The book also comes with the sample exam questions to help you ace your test.

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • 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.
  • 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.
  • 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.

Workload analytics on Azure

  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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