Microsoft DP-900-Deutsch exam dumps : 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 14, 2026     Q & A: 320 Questions and Answers

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Helpful Books to Ace DP-900

By and large, candidates can incorporate the listed study guides from Amazon as they prepare for DP-900 so they have a better chance of passing the official test:

  • ‘DP-900: Microsoft Azure Data Fundamentals 2020 Practice Exam (Solved Practice Test 120+)’ by Eaze Teach — Eaze Teach is one of the largest online IT content providers in the world and they have study guides & mock tests for technical exams of numerous IT vendors such as Linux, Cisco, and Microsoft. Plus, Eaze Teach even provides training courses to IT workers to succeed in their job positions. This almost 150-page paperback from such a provider is loaded with practice tests consisting of 120+ original and challenging questions for the Microsoft exam DP-900. These practice tests are meant to exactly replicate the actual DP-900 test, hence the structure, question types, time limit, and passing score are the same as DP-900. Significantly, each question in this book has been created in accordance with the official exam syllabus issued by Microsoft for DP-900, meaning they’ll cover all the necessary topics. Taking the mock tests in this book is a great way to assess where the candidate currently stands in terms of exam preparation and advance accordingly. Furthermore, these mocks will also help candidates identify gaps in their knowledge.
  • ‘DP-900: Microsoft Azure Data Fundamentals: 110+ Exam Practice Questions with Detail Explanation and Reference Link’ by Analytiq Tech and Daniel Scott — this kindle guide contains more than 110 original and challenging sample questions for DP-900. What’s more is that each question is accompanied by detailed answers, which help students grasp why an answer is correct or incorrect, hence they can improve faster. In all, there are two entire mock tests in this e-book and the question type, time limit, structure, and passing score of those mock tests will exactly replicate that of DP-900, meaning students will receive the perfect practice. Taking mock tests such as these helps students assess their performance and identify the topics they are weak in. The question bank of this book is being constantly updated and improved using students’ feedback, and new items are added to the stock on a regular basis. The book even has an active Q&A forum online, where past and future candidates discuss the exam topics of DP-900 and share their test-taking experiences, all of which should facilitate further learning for potential candidates.
  • ‘Exam Ref DP-900 Microsoft Azure Data Fundamentals’ by Daniel Seara & Francesco Milano — this is the official paperback provided by Microsoft for DP-900 test. Both the authors of this book are experienced IT veterans who have spent decades working with countless technologies. The target audience for this book is IT professionals, functional consultants, and business users. Simply put, it focuses on the main concepts and skills one would need in order to provide data solutions using Microsoft Azure data services out in the real world. Plus, such material promotes critical thinking in learners so they will be able to make better decisions on the job. More so, this book comprehensively covers each and every topic that candidates need to know for their DP-900 tests. This official paperback is also packed with ‘what if’ questions to further challenge the learners and teach them how to solve real-world IT problems. To easily blaze through the pages of this revision guide, candidates must be familiar with working with cloud-related data, Microsoft Azure data services, and know all the basic data concepts.

Explain Analytics Workloads on Azure: 25-30%

  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.

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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
  • 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.
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
  • 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.

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

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