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Microsoft DP-900日本語 : 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 03, 2026

Q & A: 320 Questions and Answers

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About Microsoft DP-900日本語 Exam

How to book the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Step 1: Visit Microsoft Learning and search for DP-900: Microsoft Azure fundamentals.
  • Step 2: Sign up/log in to the Pearson VUE account
  • Step 3: Select a local center based on your country, date, time and confirm with a payment method.

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

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.
  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.

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Our DP-900日本語 practice questions are based on past real DP-900日本語 exam questions. When you take the exam you will find many real questions are similar with our practice questions. It only takes you 24-36 hours to do our DP-900日本語 questions and remember the key knowledge. You will pass the exam easily. We guarantee all we sold are the latest versions. They are quite accurate and valid. We would not sell rather than sell old versions. We care about our effects of reputation in this area.

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

  • Language: English
  • 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
  • Passing score: 700 / 1000
  • This is the beta exam, would be available on or around March 31, 2020.
  • Type of Questions: This test format is multiple choice.

Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

Microsoft DP-900日本語 Exam Syllabus Topics:

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

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