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

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Suggested Answer: C

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

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Art

14 days ago

Neural Networks? More like Neural Nightmares! The training time alone would make me age a decade.

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Alyssa

16 days ago

Definitely not SVM, that thing is a computational beast! I'd go with Naive Bayes - simple and efficient, just what we need.

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Miss

17 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

18 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

19 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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