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Microsoft DP-900 certification exam covers a range of topics related to data analytics and database administration, including core data concepts, relational and non-relational data, data storage options, data processing and transformation, and Azure data services. Candidates are expected to have a basic understanding of these concepts and technologies, as well as hands-on experience working with Azure data services.

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

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Microsoft DP-900 (Microsoft Azure Data Fundamentals) certification exam is a valuable credential for anyone looking to validate their knowledge and skills in managing data in the cloud. With its comprehensive coverage of foundational concepts and practical applications, this certification can help you stand out in a competitive job market and advance your career in the field of data management.

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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