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 29, 2026   Q&As: 320 Questions and Answers

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About Microsoft DP-900 Deutsch Exam

Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

For more info read reference:

Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network

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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%
  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.

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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.

  • 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.

  • 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.

  • 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.

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

Microsoft DP-900 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Describe an analytics workload on Azure25–30%- Describe data visualization
  • 1. Data models and reports
    • 2. Power BI capabilities
      - Describe big data and analytics concepts
      • 1. Data ingestion and processing
        • 2. Modern data warehouse architecture
          • 3. Data lakes and data warehouses
            - 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 Synapse Analytics
                      • 4. Azure Databricks
                        • 5. Microsoft Fabric
                          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. Batch and streaming data
                                  • 2. Analytical workloads
                                    • 3. Transactional workloads
                                      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. SQL Server on Azure Virtual Machines
                                              • 2. Azure SQL Database
                                                • 3. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                  • 4. Azure SQL Managed Instance
                                                    Describe considerations for working with non-relational data on Azure15–20%- Describe non-relational data concepts
                                                    • 1. Characteristics of NoSQL data
                                                      • 2. Use cases for non-relational data
                                                        - 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. File Storage
                                                                  • 3. Blob Storage
                                                                    • 4. Table Storage

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