DP-900 Deutsch Practice Materials are highly similar to the real exam. DP-900 Deutsch Study Guide covers all knowledge points for the customers. DP-900 Deutsch Preparation Questions have been adapted and compiled carefully to ensure they are suitable for all people.

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

DP-900 Deutsch Exam Questions
  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Sep 01, 2026
  • Q & A: 332 Questions and Answers
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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.

Workload analytics on Azure

  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.

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

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DP-900 Deutsch exam dumps

Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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