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  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Last Updated: Aug 22, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
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  • Q & A: 332 Questions and Answers
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The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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The Microsoft Data Protection and Management Fundamentals exam is just one of the many exams dedicated to data management. Test your skills and knowledge in the area of data protection and management, as well as improve your skills. Pay attention to the latest changes in this field of technology. Skilling up to your skills, you must be aware of the latest changes in the technology field to become successful. Collection, integration, analysis and distribution of data is a great way to gain insight into the latest challenges in the field of data protection and management. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Accurate data collection, this data will be stored in a database. Integration of different systems, this data will be integrated with another database to analyze the data. Outline and analysis of data, also described in an outline. Distribution and distribution of data, this data will be sent to the correct locations and users for their use. Feedback and changes, the data will be analyzed for changes and feedback. Command and control, a command will be given to a list of specific users and systems to manipulate the data. Subscribe and receive data, the data will be sent to the appropriate users. Dashboards and reports and alerts, the data collected can be converted into a report or alert. Loading and storage and user access and BPA and cloud and networks and servers and operating systems, the candidates will increase their skills in data management.

Knowing how to process and use data is a very valuable skill in the modern IT world. Blob storage and data management, a quick and easy way to store files. Workflow and logic and data integration and export and SAP and SQL and SharePoint and webforms, the candidates will increase their skill in Microsoft cloud technologies. Solve problems and monitoring and forensics and management, the candidates will increase their skills in data protection. Outdated backups and DR solutions and paper backup and Oracle and Unix and security and virtualization, the candidates will increase their skills in data protection. Roles and responsibilities and training and policies and procedures, the candidates will increase their skills in data protection. Paid and volunteer and onsite and offsite and mobile and onsite and removable and disaster recovery and disaster recovery solutions, the candidates will increase their skills in data protection. Digital and paper and data and sensitive and compliance and eDiscovery, the candidates will increase their skills in data protection. Cognitive and user and cloud and non-volatile and network and mobile and software as a service and storage as a service, the candidates will increase their skills in data protection.

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

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

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

Download exam skills outline

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

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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