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Potential Candidates and Requirements
According to the fact that this is an associate-level certification track, there are no strict requirements that you must fulfill except passing two exams. Thus, if you are planning to take Microsoft DP-200, you can be an Azure Data Engineer who wants to verify the skills to get certified or a specialist who is just starting an IT career. In both cases, you should have a solid knowledge of the content and be able to clear the tests with high results.
A potential candidate for the Microsoft DP-200 exam should know how to identify and meet the requirements by collaborating with the business stakeholders to implement data solutions that use Azure data services. Besides that, it is required that the individuals have the relevant skills in implementing various data solutions, such as Azure Blob storage, Azure Databricks, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, and Azure Cosmos DB. Also, they need to be able to ingest batch and streaming data, provision data storage services, identify performance bottlenecks, implement security requirements, access external data sources, transform data, and implement data retention policies. /
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.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
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Microsoft DP-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement data storage solutions | 40-45% | - Implement Azure Synapse Analytics - Implement data retention policies - Implement Azure Cosmos DB - Implement storage accounts - Implement security requirements for data storage |
| Topic 2: Monitor and optimize data solutions | 30-35% | - Monitor data storage and data processing - Troubleshoot data storage issues - Optimize performance of data solutions - Troubleshoot data processing issues - Manage disaster recovery |
| Topic 3: Manage and develop data processing | 25-30% | - Orchestrate data processing activities - Implement data processing security - Ingest data with Azure Data Factory - Transform data with Azure Databricks - Ingest streaming data with Azure Stream Analytics |
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