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

DP-900 Deutsch real exams

Exam Code: DP-900-Deutsch

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

Updated: Aug 16, 2026

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • 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.
  • 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.
  • 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.

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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.

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Describe considerations for working with non-relational data on Azure15–20%- Describe Azure Cosmos DB
  • 1. Consistency levels and partitioning
    • 2. APIs and data models
      • 3. Capabilities and features
        - Describe non-relational data concepts
        • 1. Characteristics of NoSQL data
          • 2. Use cases for non-relational data
            - Describe Azure storage services
            • 1. Blob Storage
              • 2. Queue Storage
                • 3. File Storage
                  • 4. Table Storage
                    Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                    • 1. Open-source databases: PostgreSQL, MySQL, MariaDB
                      • 2. Azure SQL Managed Instance
                        • 3. Azure SQL Database
                          • 4. SQL Server on Azure Virtual Machines
                            - Describe relational data concepts
                            • 1. Normalization
                              • 2. Query data with SQL
                                • 3. Relationships, keys, constraints
                                  Describe an analytics workload on Azure25–30%- Describe Azure analytics services
                                  • 1. Azure Databricks
                                    • 2. Azure Synapse Analytics
                                      • 3. Microsoft Fabric
                                        • 4. Azure HDInsight
                                          • 5. Azure Data Lake Storage Gen2
                                            - Describe data visualization
                                            • 1. Power BI capabilities
                                              • 2. Data models and reports
                                                - Describe big data and analytics concepts
                                                • 1. Modern data warehouse architecture
                                                  • 2. Data lakes and data warehouses
                                                    • 3. Data ingestion and processing
                                                      - Describe real-time analytics
                                                      • 1. Stream processing concepts
                                                        • 2. Azure Stream Analytics
                                                          Describe core data concepts25–30%- Describe types of data
                                                          • 1. Structured, semi-structured, and unstructured data
                                                            • 2. File formats
                                                              - Describe data workloads
                                                              • 1. Analytical workloads
                                                                • 2. Transactional workloads
                                                                  • 3. Batch and streaming data
                                                                    - Describe roles and responsibilities
                                                                    • 1. Data engineer, data analyst, database administrator

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