Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) : DP-900 Deutsch

DP-900 Deutsch pass collection

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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About Microsoft Azure Data Fundamentals (DP-900 Deutsch Version) : DP-900 Deutsch Exam

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For more info read reference:

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

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

How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

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What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Passing score: 700 / 1000
  • Length of Examination: 50 mins
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Language: English
  • Type of Questions: This test format is multiple choice.
  • This is the beta exam, would be available on or around March 31, 2020.

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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