In the context of managing multiple data engineering projects with varying cluster configurations and sizes, how can Cluster Pools enhance resource utilization?

Real Exam

By assigning a fixed set of instances exclusively to the project with the highest priority, limiting flexibility.

1.1%

Through the allocation of specific instances to projects based on their budget, restricting shared use.

4.6%

By enabling projects to share a common pool of pre-warmed instances, optimizing resource allocation and efficiency.

90.9%

By ensuring each project has its own dedicated pool, eliminating the possibility of resource sharing.

3.4%

Databricks Certified Data Engineer - Associate