PMI Exam CPMAI_v7 Topic 1 Question 4 Discussion

Actual exam question for PMI's CPMAI_v7 exam

Question #: 4
Topic #: 1

Major factors for the project you are currently working on is around the training time, cost, and complexity of training your models. Which algorithm is not the best choice given these constraints?

ASupport Vector Machines (SVM)

BNeural Networks

CNaive Bayes

DGaussian Mixture

Show Suggested Answer

Suggested Answer: C

by Chantay at Jun 14, 2025, 09:21 AM

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Miss

1 days ago

I would go with Naive Bayes. It is simpler and faster to train compared to Neural Networks, making it a better choice for this project.

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Lashandra

2 days ago

I agree with Essie. Neural Networks can be computationally expensive and may not be the most efficient option given the constraints.

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Essie

3 days ago

I think Neural Networks might not be the best choice because they can be complex and require a lot of training time.

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