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

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DP-900 Deutsch Guide Torrent
  • Exam Code: DP-900-Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)

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

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Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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