Question
In production, a Databricks team increases CrossValidator parallelism to speed up model tuning. The run becomes unstable because too many expensive candidates compete for executor memory at once. What is the best adjustment?
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Practice multiple choice certification questions for Databricks Certified Machine Learning Professional and review the explanation after each answer.
In production, a Databricks team increases CrossValidator parallelism to speed up model tuning. The run becomes unstable because too many expensive candidates compete for executor memory at once. What is the best adjustment?
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