Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps Provided Study Notes

Actual4Exams 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 Stream Analytics
• Azure Storage Explorer
• Azure Data Factory Pipelines
• Azure Machine Learning
• Azure Data Lake
• Azure Data Factory
• Azure Data Warehouse
• Bulk Copy Program
• Azure Event Hubs
• SQL Server Integration Services
• Azure Backup Services
• Azcopy
• Azure Storage

Reference: https://www.microsoft.com/en-us/learning/exam-70-776.aspx

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Perform Big Data Engineering on Microsoft Cloud Services 70-776 Exam

Perform Big Data Engineering on Microsoft Cloud Services 70-776 Exam is intended mainly to design analytical solutions and build operational solutions on Azure. Candidates for this exam have relevant work experience in data engineering issues with Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics. Candidates are familiar with the features and capabilities of batch data processing, real-time processing, and operationalization technologies.

Candidates for this exam can apply the Microsoft cloud ecosystem to designs and can implement big data analytics solutions to meet their project's needs. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Big Data Engineering on Microsoft Cloud Services 70-776 Exam. This exam only available for the candidates till 30th June 2019 after that this may get replace with some other exam so you can plan get it completed before it get expire.

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This is the list of the contents in our Perform Big Data Engineering on Microsoft Cloud Services 70-776 Practice Test:

• migrate from an on-premises data warehouse to Azure SQL Data Warehouse
• Azure Data Factory Pipelines.
• Design Storage Solutions
• Monitor Azure SQL Data Warehouse, Azure Data Lake, and Azure Stream Analytics
• Provision Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics
• Cloud based integration using Azure Data Factory.
• Backup and Recovery Service Plan for Azure Storage

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