Microsoft Designing an Azure Data Solution (DP-201日本語版) DP-201日本語 Certified Exam Dumps

DP-201日本語 Exam Dumps

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Certification Provider: Microsoft
Exam Code / Number: DP-201J
Exam Name: Designing an Azure Data Solution (DP-201日本語版)
Exam Questions: 207
Last Updated: Jul 01, 2026
Corresponding Certification: Azure Data Engineer Associate

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What is the duration, language, and format of the Microsoft DP-201 Certification Exam?

Format of the DP-201 Exam: Multiple choice

Duration of the DP-201 Exam: 02 Hours

Number of questions of the DP-201 Exam: 40-60

Validity of the Microsoft DP-201 Exam

The Microsoft DP-201 certification exam is valid for three years, and the exam is valid at any time after it is completed. Retired exams are not valid. You can take the exam as many times as you wish during that period of time. Outdated exams will not be accepted.

Microsoft DP-201日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Designing Azure SQL Datebase
  • Load Technologies
  • Solution Architecture
Topic 2
  • Designing No-SQL Databases
  • CosmosDB Solution
Topic 3
  • Designing Hybrid Data Scenarios
  • Hybrid Solution Replication and Synchronization
Topic 4
  • Designing Azure Data Warehouses
  • Schema and Scale
Topic 5
  • Design An Azure Data Solution
  • Storage Capacity
  • Partition Distribution

Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx

Candidates who pass the DP-201 exam will be able to demonstrate their ability to design and implement Azure data solutions that meet specific business requirements. Designing an Azure Data Solution (DP-201日本語版) certification will enable data professionals to take on more complex and challenging projects related to data processing and analysis in the Azure cloud.

Microsoft DP-201 exam is designed for individuals who want to validate their knowledge and skills in designing Azure data solutions. It covers various topics related to designing and implementing data solutions on the Azure platform. DP-201J exam is intended for data professionals who have experience with data management, data processing, and data storage in the cloud.



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