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| 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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Microsoft MS-100 Exam Reference
Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx
| Section | Weight | Objectives |
|---|---|---|
| Design Azure Data Storage Solutions | 40-45 | - Design non-relational data stores
- Recommend appropriate data storage architecture - Design relational data stores
|
| Design Data Processing Solutions | 25-30 | - Design batch processing solutions
|
| Design for Data Security and Compliance | 25-30 | - Design data masking and privacy compliance - Design authentication and authorization - Design data encryption at rest and in transit - Design auditing and monitoring solutions |
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