Answer is Control flow (https://docs.microsoft.com/en-us/azure/data-factory/introduction)
Control flow is an orchestration of pipeline activities that includes chaining activities in a sequence, branching, defining parameters at the pipeline level, and passing arguments while invoking the pipeline on-demand or from a trigger. It also includes custom-state passing and looping containers, that is, For-each iterators.
My answer is control flow, you have to control the flow of the activities. with out this each activity acts isolated and its not much like a "pipeline" of events but could be done in parallel
Answer is Control flow:
Control flow is an orchestration of pipeline activities that includes chaining activities in a sequence, branching, defining parameters at the pipeline level, and passing arguments while invoking the pipeline on-demand or from a trigger.
Source:
https://docs.microsoft.com/en-us/azure/data-factory/introduction#control-flow
I think answer is correct
Control flow is an orchestration of pipeline activities that includes chaining activities in a sequence, branching, defining parameters at the pipeline level, and passing arguments while invoking the pipeline on-demand or from a trigger. It also includes custom-state passing and looping containers, that is, For-each iterators.
Answer: A dataset
An input dataset represents the input for an activity in the pipeline, and an output dataset represents the output for the activity.
Reference: https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities
For example, if you're reading and processing data from Azure Blob storage, you'd create an input dataset that uses a Blob Storage linked service to specify the details of the storage account. The dataset would specify which blob to ingest, and the format of the information in the blob (binary data, JSON, delimited text, and so on).
If you're using Azure Data Factory to store data in a table in a SQL database, you would define an output dataset that uses a SQL Database linked service to connect to the database, and specifies which table to use in that database.
However Control Flow is the better answer as it makes up the individual activities of a pipeline. Answer is correct
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