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

"Microsoft Azure Data Fundamentals (DP-900日本語版)", also known as DP-900 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 332 Q&As to your DP-900 Exam preparation. In the DP-900 exam resources, you will cover every field and category in Microsoft Certified: Azure Data Fundamentals Certification helping to ready you for your successful Microsoft Certification.

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  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Azure Data Fundamentals
  • Updated: Aug 12, 2026
  • No. of Questions: 332 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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What requirements should you fulfill before taking the Microsoft DP-900 exam?

The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.

The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.

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

Helpful Training Course for Acing DP-900

To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
  • 1. Azure SQL Database
    • 2. SQL Server on Azure Virtual Machines
      • 3. Open-source databases: PostgreSQL, MySQL, MariaDB
        • 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. Use cases for non-relational data
                  • 2. Characteristics of NoSQL data
                    - Describe Azure storage services
                    • 1. Table Storage
                      • 2. Queue Storage
                        • 3. Blob Storage
                          • 4. File Storage
                            - Describe Azure Cosmos DB
                            • 1. Capabilities and features
                              • 2. APIs and data models
                                • 3. Consistency levels and partitioning
                                  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. Analytical workloads
                                        • 3. Transactional workloads
                                          - Describe types of data
                                          • 1. Structured, semi-structured, and unstructured data
                                            • 2. File formats
                                              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 Databricks
                                                            • 4. Microsoft Fabric
                                                              • 5. Azure Synapse Analytics
                                                                - Describe big data and analytics concepts
                                                                • 1. Modern data warehouse architecture
                                                                  • 2. Data ingestion and processing
                                                                    • 3. Data lakes and data warehouses

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