Use this quick start guide to collect all the information about Microsoft Designing an Azure Data Solution (DP-201) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the DP-201 Microsoft Designing an Azure Data Solution exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft Designing an Azure Data Solution certification exam.
The Microsoft Designing an Azure Data Solution certification is mainly targeted to those candidates who want to build their career in Microsoft Azure domain. The Microsoft Certified - Azure Data Engineer Associate exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft Designing an Azure Data Solution.
Microsoft Designing an Azure Data Solution Exam Summary:
Exam Name | Microsoft Certified - Azure Data Engineer Associate |
Exam Code | DP-201 |
Exam Price | $165 (USD) |
Duration | 120 mins |
Number of Questions | 40-60 |
Passing Score | 700 / 1000 |
Books / Training | Course DP-201T01-A: Designing an Azure Data Solution |
Schedule Exam | Pearson VUE |
Sample Questions | Microsoft Designing an Azure Data Solution Sample Questions |
Practice Exam | Microsoft DP-201 Certification Practice Exam |
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 |
To ensure success in Microsoft Designing an Azure Data Solution certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Designing an Azure Data Solution (DP-201) exam.