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 07, 2026

Q & A: 332 Questions and Answers

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What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • This is the beta exam, would be available on or around March 31, 2020.
  • Type of Questions: This test format is multiple choice.
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Length of Examination: 50 mins
  • Language: English
  • Passing score: 700 / 1000

How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.
  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.

The Microsoft DP-900 (Microsoft Azure Data Fundamentals) is the single exam students will have to overcome if they want to attain the Microsoft Certified: Azure Data Fundamentals certificate. Those who hold this certification can become a developer, data engineer, data administrator, or data analyst.

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

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