Microsoft DP-900 Deutsch Q&A - in .pdf

  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Jun 01, 2026
  • Q & A: 316 Questions and Answers
  • PDF Price: $69.98
  • Printable Microsoft DP-900 Deutsch PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft DP-900 Deutsch Q&A - Testing Engine

  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Jun 01, 2026
  • Q & A: 316 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
TopicDetails
Topic 1
  • Describe an analytics workload: This topic introduces aspiring Microsoft data engineers to the components of large-scale analytics, such as data ingestion, transformation, and querying. It also discusses real-time data analytics considerations, including low-latency processing with Azure Stream Analytics. Finally, data visualization with Microsoft Power BI, focusing on interactive dashboards and reports, is covered.
Topic 2
  • Describe core data concepts: In this topic, aspiring Microsoft data engineers explore fundamental ways to represent data, such as structured, semi-structured, and unstructured formats. Additionally, the topic explains various data storage options, emphasizing file, database, and object storage. It also details common data workloads, including transactional, analytical, and streaming workloads. Lastly, the roles and responsibilities for managing data workloads, such as administrators, engineers, and analysts, are clarified.
Topic 3
  • Describe considerations for working with non-relational data on Azure: Aspiring Microsoft data engineers gain insight into Azure's non-relational data capabilities in this topic. It discusses Azure Storage options, including Blob, Table, and Queue Storage, suitable for diverse scenarios. Additionally, the features and strengths of Azure Cosmos DB, such as global distribution and multi-model support, are outlined.
Topic 4
  • Identify considerations for relational data on Azure: This topic provides aspiring Microsoft data engineers with a clear understanding of relational data concepts, including schemas, tables, keys, and normalization. It further explores relational Azure data services such as Azure SQL Database and Azure Database for MySQL, highlighting their use cases and capabilities.

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

Exam Details

The Microsoft DP-900 exam has the following features:

  • The number of questions is not disclosed but you should expect 40-60 items
  • It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.
  • The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.

Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.

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

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-900&examname=Exam%20DP-900:%20Microsoft%20Azure%20Data%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-900

The Microsoft DP-900 test evaluates the ability of the candidates to execute specific technical tasks. The examinees must understand these areas before they take this test. The topics that this certification exam covers are as follows:

Explain the Concepts of Core Data: 15-20%

  • Explain the Core Concepts of Data Analytics: The candidates need to be able to explain data visualization, analytics techniques, data processing concepts, ETL and ELT processing, as well as the basic types of charts, including pie charts and bar charts.
  • Explain Core Data Workloads Types: The test takers should be able to explain batch data, attributes of relational data, streaming data, and the differences between streaming and batch data.

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