Explanation:
Performance Optimized mode for serverless compute prioritizes speed and reliability (e.g., faster startup, better scaling) at a higher cost, which matches the requirements for business-critical, low-latency jobs.
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You are running a business-critical Lakeflow Job on Databricks using serverless compute. The job must: Start as quickly as possible. Minimize overall execution time. Can tolerate higher cost if it improves reliability and performance. What is the best action to take?
A
Schedule the job to run less frequently
B
Enable Performance Optimized mode for the serverless job
C
Disable autoscaling to reduce overhead
D
Switch to an interactive cluster so the compute is always running