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: Aug 15, 2026

Q & A: 332 Questions and Answers

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About Microsoft DP-900日本語 Exam

Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Professional salary

The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in

  • England - 60,532 POUNDS
  • United States - 80,000 USD
  • Europe - 60,547 EURO
  • India - 12,10,327 INR

The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • 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.
  • 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.

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

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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.

  • 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.

  • 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.

  • 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.

Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of semi-structured data
  • 3. Describe features of unstructured data
- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
Topic 2: Describe an analytics workload on Azure25-30%- Describe analytics concepts
  • 1. Describe analytical workloads
  • 2. Describe data warehousing
  • 3. Describe transactional workloads
  • 4. Describe ETL and ELT processes
- Describe Azure data analytics services
  • 1. Describe Azure HDInsight
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure Data Factory
  • 4. Describe Azure Databricks
  • 5. Describe Azure Stream Analytics
  • 6. Describe Azure Synapse Analytics
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI reports and dashboards
  • 2. Describe Power BI
  • 3. Describe Power BI tools and workflow
Topic 3: Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MariaDB
  • 2. Describe Azure SQL family of products
  • 3. Describe Azure SQL Managed Instance
  • 4. Describe SQL Server on Azure Virtual Machines
  • 5. Describe Azure SQL Database
  • 6. Describe Azure Database for MySQL
  • 7. Describe Azure Database for PostgreSQL
- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
Topic 4: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
- 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

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