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Microsoft DP-200 is a certification exam that tests the candidate’s knowledge and abilities in implementing an Azure data solution. It is designed to validate the candidate’s ability to implement data storage solutions, data processing solutions, and data security solutions using Azure services. DP-200 exam is ideal for data engineers, developers, and architects who work with data and want to demonstrate their expertise in implementing data solutions on Azure.
Microsoft DP-200 certification exam is a great way for professionals to demonstrate their expertise in implementing data solutions on the Azure platform. Implementing an Azure Data Solution certification can help individuals advance their careers and open up new opportunities in the field of data analytics. Passing the DP-200 exam will validate the candidate's skills in designing and implementing data processing solutions using Azure, which is a valuable skill for businesses looking to leverage the power of big data.
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The DP-200 certification exam is an industry-recognized and globally accepted credential that demonstrates the candidate’s proficiency in implementing Azure data solutions. It is one of the two exams required to earn the Microsoft Certified: Azure Data Engineer Associate certification. Implementing an Azure Data Solution certification is designed to help professionals showcase their skills and knowledge in designing and implementing data solutions using Azure services.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
The Microsoft DP-200 exam has a duration of 150 minutes and consists of 40-60 multiple-choice questions. The questions are designed to assess the candidates' comprehension of the various Azure data services and their ability to apply this knowledge to design and implement data solutions on the Azure platform.
Microsoft DP-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage and develop data processing | 25-30% | - Ingest data with Azure Data Factory - Orchestrate data processing activities - Implement data processing security - Ingest streaming data with Azure Stream Analytics - Transform data with Azure Databricks |
| Monitor and optimize data solutions | 30-35% | - Monitor data storage and data processing - Troubleshoot data processing issues - Troubleshoot data storage issues - Manage disaster recovery - Optimize performance of data solutions |
| Implement data storage solutions | 40-45% | - Implement storage accounts - Implement data retention policies - Implement security requirements for data storage - Implement Azure Synapse Analytics - Implement Azure Cosmos DB |
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