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DP-200日本語
  • Exam Code: DP-200
  • Exam Name: Implementing an Azure Data Solution (DP-200日本語版)
  • Updated: Jul 30, 2026
  • No. of Questions: 242 Questions and Answers
  • Download Limit: Unlimited
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Potential Candidates and Requirements

According to the fact that this is an associate-level certification track, there are no strict requirements that you must fulfill except passing two exams. Thus, if you are planning to take Microsoft DP-200, you can be an Azure Data Engineer who wants to verify the skills to get certified or a specialist who is just starting an IT career. In both cases, you should have a solid knowledge of the content and be able to clear the tests with high results.

A potential candidate for the Microsoft DP-200 exam should know how to identify and meet the requirements by collaborating with the business stakeholders to implement data solutions that use Azure data services. Besides that, it is required that the individuals have the relevant skills in implementing various data solutions, such as Azure Blob storage, Azure Databricks, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, and Azure Cosmos DB. Also, they need to be able to ingest batch and streaming data, provision data storage services, identify performance bottlenecks, implement security requirements, access external data sources, transform data, and implement data retention policies. /

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Microsoft Implementing an Azure Data Solution Exam Certification Details:

Passing Score700 / 1000
Exam Price$165 (USD)
Sample QuestionsMicrosoft Implementing an Azure Data Solution Sample Questions
Schedule ExamPearson VUE
Duration120 mins
Books / TrainingCourse DP-200T01-A: Implementing an Azure Data Solution
Exam CodeDP-200
Number of Questions40-60
Exam NameMicrosoft Certified - Azure Data Engineer Associate

Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx

Microsoft DP-200日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitor and Optimize Data Solutions30-35- Optimize Azure data solutions
- Monitor data storage
- Monitor data processing
Topic 2: Manage and Develop Data Processing25-30- Develop batch processing solutions
- Develop streaming solutions
Topic 3: Implement Data Storage Solutions40-45- Manage data security
- Implement relational data stores
- Implement non-relational data stores

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