Microsoft DP-900 Deutsch Exam : 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 23, 2026
  • Q & A: 320 Questions and Answers

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About Microsoft DP-900 Deutsch Exam Questions

What Are the Exam Topics?

Core data concepts

This topic majorly addresses the following skills:

  • Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
  • Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.

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.

  • 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.

  • 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.

  • 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.

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 an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI tools and workflow
- Describe analytics concepts
  • 1. Describe ETL and ELT processes
  • 2. Describe data warehousing
  • 3. Describe transactional workloads
  • 4. Describe analytical workloads
- Describe Azure data analytics services
  • 1. Describe Azure Stream Analytics
  • 2. Describe Azure HDInsight
  • 3. Describe Microsoft Fabric
  • 4. Describe Azure Databricks
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure Data Factory
Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
- Describe relational Azure data services
  • 1. Describe Azure SQL Managed Instance
  • 2. Describe Azure Database for PostgreSQL
  • 3. Describe Azure SQL family of products
  • 4. Describe Azure Database for MariaDB
  • 5. Describe Azure SQL Database
  • 6. Describe Azure Database for MySQL
  • 7. Describe SQL Server on Azure Virtual Machines
Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data
- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
- Describe non-relational Azure data services
  • 1. Describe Azure File storage
  • 2. Describe Azure Cosmos DB
  • 3. Describe Azure Blob storage
  • 4. Describe Azure Table storage

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