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Microsoft DP-900 Deutsch real answers - Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)

DP-900 Deutsch
  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Sep 05, 2026
  • Q & A: 332 Questions and Answers
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About Microsoft DP-900 Deutsch Exam guide

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More about DP-900 Exam

In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.

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

Microsoft DP-900 Practice Test Questions, Microsoft DP-900 Exam Practice Test Questions

The Microsoft DP-900 exam is a qualifying test for obtaining the Microsoft Certified: Azure Data Fundamentals certification. This exam is intended for the entry-level professionals looking to take up a career path in the IT field. Although it is not a requirement for any advanced-level certificate, the DP-900: Microsoft Azure Data Fundamentals test is a great foundation to prepare the individuals for other Azure role-based options. Thus, the certified candidates can pursue two certifications: Azure Data Engineer Associate or Azure Database Administrator Associate.

What job roles can you pursue after passing the Microsoft DP-900 exam?

Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.

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Topics of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Describe core data concepts (15-20%)
  • Describe how to work with non-relational data on Azure (25-30%)
  • Describe an analytics workload on Azure (25-30%)
  • Describe how to work with relational data on Azure (25-30%)

Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Relational Data in Azure20-25%- Relational data concepts
- Querying relational data
- Azure relational data services
  • 1. Azure SQL Managed Instance
    • 2. Azure SQL Database
      • 3. SQL Server on Azure VMs
        Topic 2: Core Data Concepts25-30%- Relational vs non-relational data
        - Data analytics workloads overview
        - Roles and responsibilities in data work
        - Types of core data workloads
        Topic 3: Non-Relational Data in Azure15-20%- Azure storage services
        • 1. Azure Blob Storage
          • 2. Azure Cosmos DB
            • 3. Azure Table Storage
              - Non-relational data concepts
              - Data processing options for non-relational data
              Topic 4: Analytics Workloads in Azure25-30%- Data analytics concepts
              - Data ingestion and processing
              - Data visualization and reporting
              - Azure analytics services
              • 1. Azure Synapse Analytics
                • 2. Azure Data Lake Storage
                  • 3. Power BI

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