DATABRICKS-MACHINE-LEARNING-ASSOCIATE Web TestEngine demo

Exit VCEDump DATABRICKS-MACHINE-LEARNING-ASSOCIATE Databricks Certified Machine Learning Associate
Question 5 of 23
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Q5 Single choice

A machine learning engineer is trying to scale a machine learning pipeline by distributing its single-node model tuning process. After broadcasting the entire training data onto each core, each core in the cluster can train one model at a time. Because the tuning process is still running slowly, the engineer wants to increase the level of parallelism from 4 cores to 8 cores to speed up the tuning process. Unfortunately, the total memory in the cluster cannot be increased.

In which of the following scenarios will increasing the level of parallelism from 4 to 8 speed up the tuning process?

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