PDF Version DemoPerform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps Provided Study Notes
Dumpkiller expert team recommend you to prepare some notes on these topics along with it don't forget to practice Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps which been written by our expert team.
Both these will help you a lot to clear this exam with good marks.
- T-SQL/U-SQL
- Azure Backup Services
- Azure Data Factory Pipelines
- Bulk Copy Program
- Azure Data Factory
- Azure Storage Explorer
- Azure Stream Analytics
- Azure Storage
- Azure Event Hubs
- Azure Machine Learning
- SQL Server Integration Services
- Azure Data Warehouse
- Azure Data Lake
- Azcopy
Reference: https://www.microsoft.com/en-us/learning/exam-70-776.aspx
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Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps will include below mentioned topics with Exam focused percentage
- Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics: 20-25%
- Design and Implement Analytics by Using Azure Data Lake: 25-30%
- Design and Implement Cloud-Based Integration by using Azure Data Factory: 15-20%
- Design and Implement Complex Event Processing By Using Azure Stream Analytics: 15-20%
- Design and Implement Azure SQL Data Warehouse Solutions: 15-20%
Microsoft 070-776 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design and Implement Analytics Using Azure Data Lake | 30% | - Process data with Data Lake Analytics - Implement Data Lake Store - Develop U-SQL scripts |
| Topic 2: Design and Implement Azure SQL Data Warehouse Solutions | 25% | - Implement loading and transformation - Manage security and performance - Design and implement data distribution |
| Topic 3: Design and Implement Complex Event Processing Using Azure Stream Analytics | 25% | - Manage and monitor jobs - Configure input/output sources - Develop Stream Analytics queries |
| Topic 4: Design and Implement Cloud-Based Integration Using Azure Data Factory | 20% | - Monitor and manage data movement - Build and schedule pipelines - Create linked services and datasets |
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