The Cluster Event Log (also known as the compute event log) provides a detailed, timestamped record of all lifecycle events for a Databricks cluster. This includes events such as cluster creation, starting, stopping, and specifically, autoscaling up or down.

Administrators can view these events directly in the Databricks UI via the Event log tab on the cluster's detail page or programmatically through the Clusters API.

• Workspace audit logs (Choice B) record user and administrative actions (like who edited a notebook) but do not track the internal infrastructure scaling operations of a cluster.
• Driver logs (Choice D) are used for debugging Spark application code and do not contain infrastructure-level lifecycle events.
• Ganglia (Choice A) provides performance metrics like CPU and RAM usage, which help identify why a cluster might need to scale, but it does not provide the log of the actual resize events.