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).

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

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Topic 2. Designing Data Processing Solutions (25-30%)

• Designing real-time processing solutions: the subtheme requires that the test takers have skills in designing for real-time processing with the help of Azure Databricks & Stream Analytics as well as designing and provisioning compute resources.
• Designing batch processing solutions: here the examinees must show proficiency in designing batch processing solutions that utilize Data Factory and Azure Databricks; defining the optimal data ingestion technique for a batch processing solution; defining where processing is to take place, including at the destination, in transit, or at the source.

Potential Candidates and Prerequisites

The Microsoft DP-201 exam is intended mainly for the Azure data engineers. These are the professionals who work closely with the business stakeholders in order to determine and satisfy the data requirements and design data solutions that utilize Azure data services. These specialists are also responsible for designing Azure data storage solutions that utilize relational & non-relational data stores, real-time and batch data processing solutions, as well as data security & compliance solutions.

To successfully complete the DP-201 test, the applicants should have competence in designing data solutions that utilize Azure services, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Synapse Analytics, Azure Stream Analytics, Azure Data Factory, Azure Blob storage, and Azure Databricks.

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