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

DP-900日本語 actual test
  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Jul 31, 2026
  • Q & A: 320 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $69.99  

About Microsoft DP-900日本語 Exam

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Microsoft learning site Administer infrastructure resources in Azure Azure Storage Azure Network

Workload analytics on Azure

  • Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
  • Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
  • Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
  • Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.

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.

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

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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 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.
  • 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.

Microsoft DP-900日本語 Exam Syllabus Topics:

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

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