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Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx
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The content of the Microsoft DP-201 exam revolves around three main topics that comprise of specific knowledge and skills that the candidates should develop before sitting for the test. The details of these areas are outlined below:
Topic 1. Designing Azure Data Storage Solutions (40-45%)
- Suggesting an Azure data storage solution in compliance with given requirements: this requires one’s skills in choosing the proper data storage solution in order to satisfy the technical & business requirements; choosing the type of partition distribution.
- Designing non-relational Cloud data stores: here the applicants should demonstrate that they are capable of designing data partitions and distribution; designing for scale (latency, throughput, and multi-region); designing a solution that utilizes Data Lake Storage Gen2, Blob storage, or Cosmos DB; selecting the proper Cosmos DB API; designing a strategy for disaster recovery; designing for high availability.
- Designing relational Cloud data stores: this subtopic focuses on such abilities as designing data partitions and distribution; designing for scale (comprising latency & throughput); designing a solution that utilizes Azure Synapse Analytics; designing a strategy for disaster recovery; designing for high availability.
Prerequisites for the Microsoft DP-201 exam
To be eligible to take the exams, you must have a technical or business associate degree in information technology or a related field. You also need to have at least three years of experience in a technical role with diverse expertise in cloud computing across technologies from virtualized infrastructure, to data centers, and networking. Leaders who have experience with the administration of Office 365 are recommended to take this exam.
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Microsoft DP-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design for Data Security and Compliance | 25-30 | - Design data masking and privacy compliance - Design authentication and authorization - Design auditing and monitoring solutions - Design data encryption at rest and in transit |
| Design Data Processing Solutions | 25-30 | - Design batch processing solutions
|
| Design Azure Data Storage Solutions | 40-45 | - Design non-relational data stores
- Recommend appropriate data storage architecture - Design relational data stores
|



