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The certification is valid for three years after it has been earned, and you must successfully pass the exam every three years thereafter. If you do not pass the exam within three years, you can retake it at no charge up to five times within six months of the original expiry date. After your third attempt at passing the Microsoft DP-201 certification exam after preparing with our DP-201 Dumps, you must wait 90 days before taking another Microsoft Certification exam without paying an examination reinstatement fee. Named Professional Certification exams have a different time frame. Digital exams have a different time frame, and it depends on the exam.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx
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Skills measured
- Design Azure data storage solutions (40-45%)
- Design for data security and compliance (25-30%)
- Design data processing solutions (25-30%)
Microsoft DP-201 Exam Syllabus Topics:
| Topic | Details |
|---|---|
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%) | |
| 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 (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 |
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