Microsoft DP-900日本語 : Microsoft Azure Data Fundamentals (DP-900日本語版)

DP-900日本語 real exams

Exam Code: DP-900J

Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)

Updated: Sep 29, 2026

Q & A: 332 Questions and Answers

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

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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