Microsoft DP-201J Questions & Answers - in .pdf
- Total Q&A: 207
- Update: Aug 14, 2026
- Price: $69.99
- Vendor: Microsoft
- Exam Code: DP-201J
- Exam Name: Designing an Azure Data Solution (DP-201日本語版)
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Microsoft DP-201J Q&A - Testing Engine
- Total Q&A: 207
- Update: Aug 14, 2026
- Price: $69.99
- Vendor: Microsoft
- Exam Code: DP-201J
- Exam Name: Designing an Azure Data Solution (DP-201日本語版)
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Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx
Topic 2. Designing Data Processing Solutions (25-30%)
- Designing real-time processing solutions: the subtheme requires that the test takers have skills in designing for real-time processing with the help of Azure Databricks & Stream Analytics as well as designing and provisioning compute resources.
- Designing batch processing solutions: here the examinees must show proficiency in designing batch processing solutions that utilize Data Factory and Azure Databricks; defining the optimal data ingestion technique for a batch processing solution; defining where processing is to take place, including at the destination, in transit, or at the source.
Topic 3. Designing for Data Security & Compliance (25-30%)
- Designing security for data standards and policies: this entails the ability to perform such tasks as to design data encryption for data in transit and at rest; design for data masking and data auditing; design for data categorization and data privacy; design a Data Retention Policy; plan an archiving methodology; plan to purge data in accordance with the business needs.
- Designing security for source data access: the skills measured within this subsection include planning for secure endpoints (public/private); choosing the proper authentication technique, such as shared access signatures (SAS), access keys, and Azure Active Directory (Azure AD).
Microsoft DP-201日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Design Data Processing Solutions | 25-30 | - Design real-time processing solutions
- 1. Azure Stream Analytics
- 2. Azure Event Hubs integration
- Design data integration and orchestration
- Design batch processing solutions
- 1. Azure Databricks
- 2. Azure Data Factory
|
| Topic 2: Design for Data Security and Compliance | 25-30 | - Design auditing and monitoring solutions
- Design data encryption at rest and in transit
- Design authentication and authorization
- Design data masking and privacy compliance
|
| Topic 3: Design Azure Data Storage Solutions | 40-45 | - Design relational data stores
- 1. Azure SQL Database
- 2. Azure Synapse Analytics
- Design non-relational data stores
- 1. Azure Blob Storage and Data Lake Storage Gen2
- 2. Azure Cosmos DB configuration and partitioning
- Recommend appropriate data storage architecture
- Design for high availability, scalability, and disaster recovery
|
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