Azure Data Factory for Beginners - Build Data Ingestion - Create Data Factory and Read Metadata

The video tutorial guides viewers through creating a new data factory pipeline in Azure, setting parameters for data access, retrieving metadata from a storage container, and validating and debugging the pipeline. It covers naming conventions, parameter assignments, and the use of specific activities to gather metadata, ensuring the pipeline functions correctly.

What is the first step in creating a new data factory pipeline?

• Validate the pipeline

• Select the data set tab

• Navigate to pipeline actions and select new pipeline

• Insert a default parameter

What is the default value for the source container parameter?

• Data

• CSV

• Engineering

• Finance

Which activity is used to get metadata information from a container?

• Read Metadata

• Get Metadata

• Fetch Information

• Get Data

What information does the 'last modified' argument provide?

• Name of the container

• Timestamp of container creation

• List of files in the container

• Type of files in the container

What is the purpose of the debug activity button?

• To create a new parameter

• To focus and debug a specific activity

• To execute the pipeline

• To save the pipeline

What does the 'child items' argument hold?

• Composition of the container

• Name of the container

• Type of files in the container

• Timestamp of the last modification

What should be done after validating the pipeline?

• Rename the pipeline

• Execute the pipeline

• Insert dynamic content

• Create a new parameter