70-475日本語 無料問題集「Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版)」
正解：
Explanation
Step 1: Configure a Microsoft Data Management Gateway
Install and configure Azure Data Factory Integration Runtime.
The Integration Runtime is a customer managed data integration infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. This runtime was formerly called
"Data Management Gateway".
Step 2: Create a linked service for Azure Blob storage
Create an Azure Storage linked service (destination/sink). You link your Azure storage account to the data factory.
Step 3: Create a linked service for SQL Server
Create and encrypt a SQL Server linked service (source)
In this step, you link your on-premises SQL Server instance to the data factory.
Step 4: Create an input dataset and an output dataset.
Create a dataset for the source SQL Server database. In this step, you create input and output datasets. They represent input and output data for the copy operation, which copies data from the on-premises SQL Server database to Azure Blob storage.
Step 5: Create a pipeline..
You create a pipeline with a copy activity. The copy activity uses SqlServerDataset as the input dataset and AzureBlobDataset as the output dataset. The source type is set to SqlSource and the sink type is set to BlobSink.
References: https://docs.microsoft.com/en-us/azure/data-factory/tutorial-hybrid-copy-powershell
