Microsoft Certified: Designing an Azure Data Solution DP-201
Microsoft Designing an Azure Data Solution DP-201 is one of the best cloud solutions available and in order to be an expert on this particular application Nux software Solutions is your one-stop destination. Over the years, we have been one of the premium institutes when it comes to rendering quality training in various domains of IT. We have a team of experts and highly qualified faculties who have been rendering quality training to our students.
The Microsoft Designing an Azure Data Solution DP-201
At Nux software Solutions, we have designed a highly customized and effective course material that is based in lab work and lots of hands-on application. We have made sure that our students got maximum practical exposure that would help them to achieve their goals in the professional fields.
Course Syllabus
Modules
Design 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 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%)
Develop batch processing solutions
- develop batch processing solutions by using 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 (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)
MDesign 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
