Designing an Azure Data Solution (DP-201) 

About Designing an Azure Data Solution Exam DP-201

Designing Azure Data Solution Exam (DP-201) examines the ability to complete the technical tasks that include designing Azure data storage solutions and data processing solutions. It also measures the ability for designing for data security and compliance. This exam is for Azure data engineers who are responsible for data-related design tasks that include designing Azure data storage solutions that use relational and non-relational data stores, batch and real-time data processing solutions, and data security and compliance solutions.

Who should take the Exam?

The DP-201 exam is best suitable for,

• candidates who can design data solutions using Azure services like Azure Cosmos DB, Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
• Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to design data solutions that use Azure data services.

Course Outline

This exam covers the updated content - 

The Designing an Azure Data Solution (DP-201) covers the updated topics - 

Designing the 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 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 multi-region, latency, and throughput) 
• Design a solution that uses Azure Synapse Analytics 
• Design a disaster recovery strategy 
• Design for high availability 

Designing 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 
• Design and provision compute resources 

Designing 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

Exam Pattern 

• Exam Name: Designing an Azure Data Solution
• Exam Code: DP-201
• Number of Questions: 40-60 Questions
• Length of Time:  180 Minutes
• Registration Fee:$165.00
• Passing score: 700 (on a scale of 1-1000)
• Exam Language English, Japanese, Chinese (Simplified), Korean

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