Question

You plan to use azure data factory to implement data movement and integration. you need to identify which data factory component to create to combine multiple movement and integration activities. which component should you identify?

a) Data Pipeline
b) Data Gateway
c) Data Flow
d) Data Hub

Answer 1

The component you should identify to combine multiple data movement and integration activities in Azure Data Factory is Data Pipeline.

Step-by-step explanation:

The component you should identify to combine multiple data movement and integration activities in Azure Data Factory is Data Pipeline. Data Pipelines in Azure Data Factory are used to orchestrate and manage the activities that move and transform data. They allow you to create end-to-end workflows that can combine multiple data movement and integration activities, such as copying data from one source to another, transforming data, and loading data into different destinations.

For example, you can create a Data Pipeline that starts by copying data from an on-premises SQL Server database to Azure Blob storage, then transforms the data using Azure Databricks, and finally loads the transformed data into an Azure SQL Database.

Data Gateways, on the other hand, are used to establish secure connections between on-premises data sources and Azure Data Factory. Data Flows allow you to visually design and run data transformation activities using a code-free approach, while Data Hub is not a component in Azure Data Factory.