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Preparation Materials and Resources
The Microsoft DP-201 exam is not easy and that is why you should take it with seriousness. If you want to pass the test at your first attempt, you need to devote enough time to preparation. It is recommended that you start studying for the exam with reviewing its objectives. Then you can proceed with the official preparation options available on the Microsoft webpage. The vendor offers the candidates two ways to prepare for the DP-201 test:
- Online learning: this training is available free of charge. There are several learning paths tackling various aspects of the Microsoft DP-201 exam.
- Instructor-led training: this is a paid course delivered under the guidance of the Microsoft authorized trainer. It lasts two days and is intended for the data professionals, data architects, as well as business intelligence professionals who want to enhance their expertise in data platform technologies available on the Microsoft Azure platform.
The students can use these training tools separately or in combination. Additionally, you can search for the relevant resources on other learning platforms.
The Microsoft DP-201: Designing an Azure Data Solution exam is developed to validate the ability of the professionals to execute technical tasks, such as designing Azure data storage solutions, designing data processing solutions, and designing for data security & compliance. The test is specifically designed for those individuals who are looking to build a career in the Azure Data Solution domain. Passing this exam together with Microsoft DP-200: Implementing an Azure Data Solution takes the candidates closer to getting the Microsoft Certified: Azure Data Engineer Associate certification.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx
For more info visit:
Microsoft MS-100 Exam Reference
Microsoft DP-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Azure Data Storage Solutions | 40-45 | - Design for high availability, scalability, and disaster recovery - Recommend appropriate data storage architecture - Design relational data stores
|
| Topic 2: Design Data Processing Solutions | 25-30 | - Design real-time processing solutions
- Design batch processing solutions
|
| Topic 3: Design for Data Security and Compliance | 25-30 | - Design auditing and monitoring solutions - Design authentication and authorization - Design data masking and privacy compliance - Design data encryption at rest and in transit |
