Microsoft Designing an Azure Data Solution (DP-201日本語版) : DP-201日本語
- Exam Code: Microsoft
- Exam Name: Designing an Azure Data Solution (DP-201日本語版)
- Updated: May 31, 2026
- Q & A: 207 Questions and Answers
About Microsoft Designing an Azure Data Solution (DP-201日本語版) : Microsoft Exam
Preparation Materials and Resources
The Microsoft DP-201 exam is not easy and that is why you should take it with seriousness. If you want to pass the test at your first attempt, you need to devote enough time to preparation. It is recommended that you start studying for the exam with reviewing its objectives. Then you can proceed with the official preparation options available on the Microsoft webpage. The vendor offers the candidates two ways to prepare for the DP-201 test:
- Online learning: this training is available free of charge. There are several learning paths tackling various aspects of the Microsoft DP-201 exam.
- Instructor-led training: this is a paid course delivered under the guidance of the Microsoft authorized trainer. It lasts two days and is intended for the data professionals, data architects, as well as business intelligence professionals who want to enhance their expertise in data platform technologies available on the Microsoft Azure platform.
The students can use these training tools separately or in combination. Additionally, you can search for the relevant resources on other learning platforms.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx
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Microsoft DP-201 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Design Azure Data Storage Solutions (40-45%) | |
| Recommend an Azure data storage solution based on requirements | - choose the correct data storage solution to meet the technical and business requirements - choose the partition distribution type |
| Design non-relational cloud data stores | - design data distribution and partitions - design for scale (including multi-region, latency, and throughput) - design a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage - select the appropriate Cosmos DB API - design a disaster recovery strategy - design for high availability |
| Design relational cloud data stores | - design data distribution and partitions - design for scale (including latency and throughput) - design a solution that uses Azure Synapse Analytics - design a disaster recovery strategy - design for high availability |
Design Data Processing Solutions (25-30%) | |
| Design batch processing solutions | - design batch processing solutions that use Data Factory and Azure Databricks - identify the optimal data ingestion method for a batch processing solution - identify where processing should take place, such as at the source, at the destination, or in transit |
| Design real-time processing solutions | - design for real-time processing by using Stream Analytics and Azure Databricks - design and provision compute resources |
Design for Data Security and Compliance (25-30%) | |
| Design security for source data access | - plan for secure endpoints (private/public) - choose the appropriate authentication mechanism, such as access keys, shared access signatures (SAS), and Azure Active Directory (Azure AD) |
| Design security for data policies and standards | - design data encryption for data at rest and in transit - design for data auditing and data masking - design for data privacy and data classification - design a data retention policy - plan an archiving strategy - plan to purge data based on business requirements |
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Career Opportunities and Salary Potential
Completing the Microsoft DP-201 exam and obtaining the Microsoft Certified: Azure Data Engineer Associate certification provides the individuals with numerous prospects. First of all, this certificate prepares the professionals for a career of an Azure Data Engineer. However, the holders of this associate-level option can also explore other positions. The job titles that will also become available to you after getting certified include an Azure Cloud Engineer, a Cloud Solutions Systems Engineer, a Software Engineer, a DevOps Engineer, a Senior DevOps Engineer, among others. According to PayScale, an Azure Data Engineer with 1-4 years of experience earns an average of $90,496 per year, but the same professional with 5-9 years of experience can get about $98,686 per annum.
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