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100% Microsoft DP-900日本語 Guaranteed Success With Testing Engine

Exam Code: DP-900J

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

Updated: Aug 04, 2026

Number: 320 Q&As with Testing Engine

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Microsoft Azure Data Fundamentals Exam Certification Details:

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

Preparation Process for Microsoft DP-900 Exam

The learners can use different training options that Microsoft offers to prepare for the DP-900 test. The first step in your preparation process is to go over the exam objectives in detail. They can be found on the official website. The resources to help understand these topics are also available on the vendor’s webpage. Microsoft comes with a paid instructor-led training as well as free learning paths as the best prep options for your certification test.

  • Online Learning Paths

    This option of learning is free and made up of seven paths with different modules for each. The candidates for this option are those with the ability to study on their own. The self-paced learning paths offer a comprehensive outline and lessons on the topics of the exam.

  • Study Guide

    The Exam Ref DP-900: Microsoft Azure Data Fundamentals book is another good resource for preparation. Authored by Daniel A. Seara, Francesco Milano, this study guide covers the in-depth analysis of the topics and offers some practical skills that will help you take the test. The book also comes with the sample exam questions to help you ace your test.

  • Practice Test

    The official practice test is also available to help the examinees gain confidence in their test-taking skills. The candidates can use it to evaluate their readiness for the real exam. They can also get familiar with the pattern of the test and develop competence in answering the exam questions. The official practice test can be found on the Microsoft website.

  • Instructor-Led Training

    This is a paid training course that is available in-classroom or as virtual classes. The Microsoft Azure Data Fundamentals course is designed to teach the candidates the fundamentals of the concepts of database in the Cloud environments. The students will be equipped with the basic skills in the domain of Cloud data services. They will also be able to develop foundational knowledge and skills in Cloud data services within Microsoft Azure.

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

The Microsoft DP-900 test evaluates the ability of the candidates to execute specific technical tasks. The examinees must understand these areas before they take this test. The topics that this certification exam covers are as follows:

Explain the Concepts of Core Data: 15-20%

  • Explain the Core Concepts of Data Analytics: The candidates need to be able to explain data visualization, analytics techniques, data processing concepts, ETL and ELT processing, as well as the basic types of charts, including pie charts and bar charts.
  • Explain Core Data Workloads Types: The test takers should be able to explain batch data, attributes of relational data, streaming data, and the differences between streaming and batch data.

Microsoft DP-900日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Exam Format:Multiple-choice, Scenario-based
Certificate Validity Period:N/A
Related Certifications:Microsoft Certified: Azure Data Fundamentals
Passing Score:700 / 1000
Exam Duration:65 minutes
Exam Price:USD 99
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian
Real Exam Qty:40-60
Sample Questions:Microsoft DP-900日本語 Sample Questions
Exam Way:Pearson VUE
Pre Condition:There are no prerequisites for this exam.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

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 Azure data services
  • 1. Describe Azure Blob storage
  • 2. Describe Azure Cosmos DB
  • 3. Describe Azure File storage
  • 4. Describe Azure Table storage
- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
Topic 2: Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
- Describe relational Azure data services
  • 1. Describe Azure SQL family of products
  • 2. Describe Azure SQL Managed Instance
  • 3. Describe Azure Database for PostgreSQL
  • 4. Describe Azure SQL Database
  • 5. Describe Azure Database for MariaDB
  • 6. Describe SQL Server on Azure Virtual Machines
  • 7. Describe Azure Database for MySQL
Topic 3: Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI
  • 2. Describe Power BI tools and workflow
  • 3. Describe Power BI reports and dashboards
- Describe analytics concepts
  • 1. Describe analytical workloads
  • 2. Describe data warehousing
  • 3. Describe ETL and ELT processes
  • 4. Describe transactional workloads
- Describe Azure data analytics services
  • 1. Describe Azure Stream Analytics
  • 2. Describe Azure Databricks
  • 3. Describe Azure HDInsight
  • 4. Describe Microsoft Fabric
  • 5. Describe Azure Synapse Analytics
  • 6. Describe Azure Data Factory
Topic 4: Describe core data concepts25-30%- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data

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