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

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 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.

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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.