DP-201: Designing an Azure Data Solution Latest Exam Test
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.
Azure data engineers 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.
I have prepared this practice test course for all those candidates who are planning of taking DP-201 exam in near future.
This is an Unofficial course and this course is not affiliated, licensed or trademarked with Microsoft in any way.
Exam Topics covered as per syllabus DP-201 exam Certification questions :
Design Azure data storage solutions (40-45%)
Recommend an Azure data storage solution based on requirements
Design non-relational cloud data stores
design data distribution and partitions
design for scale(including multi-region, 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 latency, and throughput)
design a solution that uses Azure Synapse Analytics
design a disaster recovery strategy
design for high availability
Design 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 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
