Databricks Certified Machine Learning Associate Exam Databricks-Machine-Learning-Associate Question # 21 Topic 3 Discussion

Databricks Certified Machine Learning Associate Exam Databricks-Machine-Learning-Associate Question # 21 Topic 3 Discussion

Databricks-Machine-Learning-Associate Exam Topic 3 Question 21 Discussion:
Question #: 21
Topic #: 3

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?


A.

When the tuning process in randomized


B.

When the entire data can fit on each core


C.

When the model is unable to be parallelized


D.

When the data is particularly long in shape


E.

When the data is particularly wide in shape


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