Databricks Certified Data Engineer - Professional
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Ultimate access to all questions.
When configuring Spark properties on the Databricks platform, which of the following statements regarding the scope and impact of those settings is accurate?
A
Modifying the Spark configuration of a running interactive cluster via the Databricks REST API allows the changes to take effect immediately without interrupting active workloads.
B
Spark configuration settings defined via the Clusters UI apply to the compute level, meaning every notebook or job attached to that cluster inherits those settings.
C
Any Spark configuration parameters defined within a specific notebook are automatically applied to all other Spark sessions sharing the same interactive cluster.
D
If a Spark configuration property is defined at both the cluster level and within a notebook session, the notebook-specific setting is ignored in favor of the cluster default.