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This exam measures your ability to accomplish the following technical tasks: design Azure data storage solutions; design data processing solutions; and design for data security and compliance.

Microsoft DP-201 Exam Syllabus Topics:

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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%)

• 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.
• 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.
• 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.

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

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Topic 3. Designing for Data Security & Compliance (25-30%)

• Designing security for data standards and policies: this entails the ability to perform such tasks as to design data encryption for data in transit and at rest; design for data masking and data auditing; design for data categorization and data privacy; design a Data Retention Policy; plan an archiving methodology; plan to purge data in accordance with the business needs.
• Designing security for source data access: the skills measured within this subsection include planning for secure endpoints (public/private); choosing the proper authentication technique, such as shared access signatures (SAS), access keys, and Azure Active Directory (Azure AD).

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