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

Microsoft DP-900 Deutsch test insides dumps
  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Sep 13, 2026
  • Q & A: 332 Questions and Answers
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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

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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.

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Microsoft DP-900 Deutsch Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25–30%- Describe big data and analytics concepts
  • 1. Data ingestion and processing
    • 2. Data lakes and data warehouses
      • 3. Modern data warehouse architecture
        - Describe real-time analytics
        • 1. Stream processing concepts
          • 2. Azure Stream Analytics
            - Describe Azure analytics services
            • 1. Azure HDInsight
              • 2. Microsoft Fabric
                • 3. Azure Synapse Analytics
                  • 4. Azure Databricks
                    • 5. Azure Data Lake Storage Gen2
                      - Describe data visualization
                      • 1. Data models and reports
                        • 2. Power BI capabilities
                          Topic 2: 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 Azure storage services
                                • 1. File Storage
                                  • 2. Queue Storage
                                    • 3. Blob Storage
                                      • 4. Table Storage
                                        - Describe non-relational data concepts
                                        • 1. Use cases for non-relational data
                                          • 2. Characteristics of NoSQL data
                                            Topic 3: Describe core data concepts25–30%- Describe roles and responsibilities
                                            • 1. Data engineer, data analyst, database administrator
                                              - Describe data workloads
                                              • 1. Analytical workloads
                                                • 2. Batch and streaming data
                                                  • 3. Transactional workloads
                                                    - Describe types of data
                                                    • 1. File formats
                                                      • 2. Structured, semi-structured, and unstructured data
                                                        Topic 4: Identify considerations for relational data on Azure20–25%- Describe relational data concepts
                                                        • 1. Relationships, keys, constraints
                                                          • 2. Normalization
                                                            • 3. Query data with SQL
                                                              - Describe Azure relational data services
                                                              • 1. Azure SQL Database
                                                                • 2. Azure SQL Managed Instance
                                                                  • 3. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                                    • 4. SQL Server on Azure Virtual Machines

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