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Microsoft DP-200: Implementing an Azure Data Solution Exam is designed for professionals who are looking forward to gaining expertise in implementing data solutions using Microsoft Azure technologies. DP-200 exam tests the candidate's knowledge and skills related to the implementation of Azure data services, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Stream Analytics, and Azure Databricks.
Microsoft DP-200 certification exam is designed to test the knowledge and skills of individuals who want to become certified as an Azure data solution specialist. DP-200 exam is designed to test the candidate's ability to implement Azure data solutions, including data storage, data processing, and data analysis. Implementing an Azure Data Solution certification is ideal for individuals who want to demonstrate their expertise in implementing data solutions using Azure technologies.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
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The DP-200 certification exam is part of the Microsoft Certified: Azure Data Engineer Associate certification path. It is intended for data engineers, data architects, and business intelligence professionals who work on data solutions in the cloud. Candidates are expected to have experience working with data platforms, such as SQL Server or Azure SQL Database, and knowledge of data processing and transformation techniques.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Manage and develop data processing | 25-30% | - Ingest data with Azure Data Factory - Transform data with Azure Databricks - Implement data processing security - Ingest streaming data with Azure Stream Analytics - Orchestrate data processing activities |
| Topic 2: Implement data storage solutions | 40-45% | - Implement storage accounts - Implement data retention policies - Implement Azure Synapse Analytics - Implement Azure Cosmos DB - Implement security requirements for data storage |
| Topic 3: Monitor and optimize data solutions | 30-35% | - Manage disaster recovery - Optimize performance of data solutions - Monitor data storage and data processing - Troubleshoot data processing issues - Troubleshoot data storage issues |
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