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A machine learning engineer attempts to databricks video

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Full Certification Question

A machine learning engineer attempts to scale an ML pipeline by distributing its single-node model tuning procedure. After broadcasting the entire training data onto each core, each core in the cluster is capable of training one model at once. As the tuning process is still sluggish, the engineer plans to enhance the parallelism from 4 to 8 cores to expedite the process. Unfortunately, the total memory in the cluster can't be increased. Under which conditions would elevating the parallelism from 4 to 8 cores accelerate the tuning process? Choose only ONE best answer.