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PMI CPMAI_v7 Exam - Topic 4 Question 10 Discussion

Actual exam question for PMI's CPMAI_v7 exam
Question #: 10
Topic #: 4
[All CPMAI_v7 Questions]

You're running an AI project and want to speed up training of the model so that you can complete your current CPMAI iteration within the two week timeframe the team has set.

What's one approach to speed up model training?

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Suggested Answer: D

by Ruth at Aug 18, 2025, 09:48 AM

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Nakisha
2 months ago
I thought using previous data was risky, not sure about A.
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Erick
2 months ago
A is a solid choice too, leveraging past data can be effective.
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Dean
3 months ago
Wait, brute force? Isn't that super inefficient?
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Carmela
3 months ago
B sounds good, but can it really make that much of a difference?
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Timmy
3 months ago
Definitely go with D, pre-trained models save so much time!
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Talia
3 months ago
Using data from a previous project sounds familiar, but I wonder if it would actually help with the current model's training.
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Carman
4 months ago
I feel like the brute force method could be risky. It might not be the most efficient way to speed things up.
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Gayla
4 months ago
I remember practicing with pre-trained models in class; extending one might save us a lot of time.
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Catarina
4 months ago
I think using cloud-based technology could really help, but I'm not entirely sure how it would compare to other options.
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Nichelle
4 months ago
I'm feeling pretty confident about this one. Using a pre-trained model is definitely the way to go. It'll save us a ton of time and effort, and we can fine-tune it to fit our specific needs. Cloud-based technology is also a good option, but I think the pre-trained model is the way to go.
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Lindsay
4 months ago
Brute force method? Really? That's not going to work for this kind of problem. I'd say the best approach is to use cloud-based technology or extend a pre-trained model. Those seem like the most efficient and effective ways to speed up the training process.
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Reynalda
5 months ago
Okay, let me think this through. Using cloud-based technology could definitely speed up the training process, but I'm not sure if that's the most cost-effective solution. I think using or extending a pre-trained model might be the way to go - that could save us a lot of time and resources.
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Melita
5 months ago
Hmm, this is a tricky one. I'm not sure if using data from a previous project is the best approach, as the data may not be relevant to the current problem. I'm leaning more towards using cloud-based technology or extending a pre-trained model.
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Justine
5 months ago
I think using data from a previous project could also be a good approach, it can provide valuable insights for training.
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Iesha
5 months ago
I prefer using or extending a pre-trained model, it can save time and resources.
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Virgina
5 months ago
I agree with Benton, cloud-based technology can provide the necessary resources for faster training.
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Benton
6 months ago
I think we should use cloud-based technology to speed up training.
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