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

Microsoft DP-900日本語 Exam Syllabus Topics:

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

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