DESIGNING AN AZURE DATA SOLUTION – DP 201
he “Designing an Azure Data Solution” certification exam, coded as DP-201, is a Microsoft certification that focuses on assessing a candidate’s knowledge and skills in designing data solutions on the Microsoft Azure cloud platform. This certification is part of Microsoft’s Azure Data Engineer Associate certification track.Earning the DP-201 certification demonstrates your expertise in designing data solutions on Azure.
BEST DESIGNING AN AZURE DATA SOLUTION – DP 201 TRAINING IN PUNE | ONLINE
Duration of Training : 40 hrs
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Design Azure Data Storage Solutions
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 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
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 and Azure Databricks
– design and provision compute resources
Design for Data Security and Compliance
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
