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Exam Structure and Format
Microsoft DP-200 is a 150-minute test with about 40-60 questions that you need to clear within the allocated time. You should be ready for various types of questions to deal with during the exam. Thus, you can face with review screen, labs, multiple choice, short answer, repeated answer choices, drag and drop, hot area, case studies, build list, best answer, mark review, and active screen. To pass this certification test, you need to score at least 700 points out of 1000. The DP-200 exam can be taken in different languages, including Korean, English, Simplified Chinese, and Japanese. To schedule it, you should have a Microsoft account and apply via the official webpage. The voucher costs $165.
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Microsoft DP-200 Exam Reference
Exam DP-200: Implementing an Azure Data Solution
Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.
Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.
Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate
Skills measured
- Monitor and optimize data solutions (30-35%)
- Manage and develop data processing (25-30%)
- Implement data storage solutions (40-45%)
Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
Microsoft DP-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage and Develop Data Processing | 25-30 | - Develop streaming solutions - Develop batch processing solutions |
| Monitor and Optimize Data Solutions | 30-35 | - Optimize Azure data solutions - Monitor data processing - Monitor data storage |
| Implement Data Storage Solutions | 40-45 | - Implement relational data stores - Implement non-relational data stores - Manage data security |
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