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DP-900日本語 pdf
  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 23, 2026
  • Q & A: 332 Questions and Answers
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  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
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About Microsoft Azure Data Fundamentals (DP-900日本語版) : DP-900日本語 Exam braindumps

So, What Is the Verdict?

The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!

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

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Explain Analytics Workloads on Azure: 25-30%

  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Describe core data concepts25–30%- Describe types of data
  • 1. Structured, semi-structured, and unstructured data
    • 2. File formats
      - Describe roles and responsibilities
      • 1. Data engineer, data analyst, database administrator
        - Describe data workloads
        • 1. Batch and streaming data
          • 2. Analytical workloads
            • 3. Transactional workloads
              Describe an analytics workload on Azure25–30%- Describe Azure analytics services
              • 1. Microsoft Fabric
                • 2. Azure Data Lake Storage Gen2
                  • 3. Azure Synapse Analytics
                    • 4. Azure HDInsight
                      • 5. Azure Databricks
                        - 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 real-time analytics
                                  • 1. Azure Stream Analytics
                                    • 2. Stream processing concepts
                                      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 Azure storage services
                                            • 1. Blob Storage
                                              • 2. Table Storage
                                                • 3. Queue Storage
                                                  • 4. File Storage
                                                    - Describe non-relational data concepts
                                                    • 1. Characteristics of NoSQL data
                                                      • 2. Use cases for non-relational data
                                                        Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                                        • 1. Azure SQL Managed Instance
                                                          • 2. SQL Server on Azure Virtual Machines
                                                            • 3. Azure SQL Database
                                                              • 4. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                                - Describe relational data concepts
                                                                • 1. Query data with SQL
                                                                  • 2. Relationships, keys, constraints
                                                                    • 3. Normalization

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