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Answer: An automated report needs to be refreshed as quickly as possible.
Cluster pools in Databricks are designed to reduce cluster startup and scaling times by maintaining a pool of idle, pre-provisioned instances. This is particularly useful for scenarios where speed is critical. Option C highlights the need for a report to be refreshed as quickly as possible, which aligns with the primary purpose of cluster pools. The other options (A, B, D) relate to version control, accessibility, and reproducibility, which are addressed by other Databricks features like Git integration, permissions, and environment/config management, not cluster pools.
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Under what circumstances would a data team choose to employ cluster pools?
A
An automated report needs to be version-controlled across multiple collaborators.
B
An automated report needs to be runnable by all stakeholders.
C
An automated report needs to be refreshed as quickly as possible.
D
An automated report needs to be made reproducible.