DP-900日本語 Quiz Studying Materials: Microsoft Azure Data Fundamentals (DP-900日本語版) - DP-900日本語 Test Torrent & DP-900日本語 Test Bootcamp

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

Exam Code: DP-900J

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

Updated: Aug 15, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900日本語 Exam Test Braindump

Microsoft Azure Data Fundamentals Exam Certification Details:

Passing Score700 / 1000
Exam NameMicrosoft Certified - Azure Data Fundamentals
Duration60 mins
Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Number of Questions40-60
Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions
Exam CodeDP-900
Exam Price$99 (USD)
Schedule ExamPearson VUE

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

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Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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