What happens if a datagroup is triggered?

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Multiple Choice

What happens if a datagroup is triggered?

Explanation:
When a datagroup is triggered, it initiates the re-evaluation of derived tables that depend on the datagroup. This means any query that utilizes a derived table associated with the particular datagroup will be re-run to ensure that the data is up to date. A datagroup is essentially used to manage the refresh logic of derived tables and helps in controlling when the underlying data is fetched again. It is important to understand that this mechanism helps maintain data accuracy and consistency in reports generated by Looker, as outdated data could lead to incorrect insights. By re-running the query upon triggering the datagroup, Looker ensures the information retrieved reflects the most current state of the data. The other options do not accurately describe the function of datagroups: derived tables are not deleted, persistence methods remain the same unless explicitly changed, and data is not archived as part of the datagroup trigger process.

When a datagroup is triggered, it initiates the re-evaluation of derived tables that depend on the datagroup. This means any query that utilizes a derived table associated with the particular datagroup will be re-run to ensure that the data is up to date. A datagroup is essentially used to manage the refresh logic of derived tables and helps in controlling when the underlying data is fetched again.

It is important to understand that this mechanism helps maintain data accuracy and consistency in reports generated by Looker, as outdated data could lead to incorrect insights. By re-running the query upon triggering the datagroup, Looker ensures the information retrieved reflects the most current state of the data.

The other options do not accurately describe the function of datagroups: derived tables are not deleted, persistence methods remain the same unless explicitly changed, and data is not archived as part of the datagroup trigger process.

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