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Microsoft 070-776: Engineering Data with Microsoft Cloud Services is a certification exam that measures an individual's understanding and ability to leverage Microsoft Azure cloud services to support and manage engineering data. 070-776 exam is designed to validate the candidate's proficiency in designing and implementing data storage, data security, and data management solutions using Microsoft Azure cloud services.
Microsoft 070-776 exam is designed for professionals who have a strong understanding of data engineering principles and are interested in learning how to use Microsoft Cloud Services to manage and analyze large-scale data projects. Engineering Data with Microsoft Cloud Services certification exam is part of the Microsoft Certified Solutions Expert (MCSE) program, and passing it can help professionals advance their careers and demonstrate their expertise in the field of data engineering.
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The Microsoft 070-776 exam measures the candidate's proficiency in designing and implementing data solutions in Azure, managing and monitoring data processing, and implementing security and compliance policies. 070-776 exam also tests the candidate's ability to use various tools and services such as Azure Data Factory, Azure Data Lake, Azure Stream Analytics, and Azure SQL Data Warehouse. 070-776 exam is ideal for professionals who are involved in data engineering, data warehousing, and data analytics and want to validate their skills and knowledge in using Microsoft Cloud Services for these purposes.
Reference: https://www.microsoft.com/en-us/learning/exam-70-776.aspx
Microsoft 070-776 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics | 20-25% | - Manage data recovery
|
| Design and Implement Complex Event Processing by Using Azure Stream Analytics | 15-20% | - Design and implement Azure Stream Analytics
|
| Design and Implement Cloud-Based Integration by Using Azure Data Factory | 15-20% | - Monitor and manage Azure Data Factory
|
| Design and Implement Analytics by Using Azure Data Lake | 25-30% | - Extract and transform data using U-SQL
|
| Design and Implement Azure SQL Data Warehouse Solutions | 15-20% | - Query data in Azure SQL Data Warehouse
|








