CertNexus Exam AIP-210 Topic 7 Question 16 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 16
Topic #: 7

Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?

AAs new resources become available

BOnce a month

CWhen the input format changes

DWhen the input volume changes

Show Suggested Answer

Suggested Answer: B

Performance testing is a type of testing that should be performed at the production level before deploying a newly retrained model. Performance testing measures how well the model meets the non-functional requirements, such as speed, scalability, reliability, availability, and resource consumption. Performance testing can help identify any bottlenecks or issues that may affect the user experience or satisfaction with the model. Reference: [Performance Testing Tutorial: What is, Types, Metrics & Example], [Performance Testing for Machine Learning Systems | by David Talby | Towards Data Science]

by Terina at Apr 19, 2024, 07:29 PM

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Annette

1 months ago

I'm really feeling the 'weather' of this question. Maybe we should just let the model predict the retraining schedule!

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Alex

1 days ago

C) When the input format changes

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Eun

6 days ago

B) Once a month

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Kiley

16 days ago

A) As new resources become available

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Ruthann

1 months ago

I'm feeling a bit under the weather, but I'd say option B is the way to go. Retraining the model once a month sounds like a good routine to me.

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Laticia

1 days ago

Yeah, I think consistency is key when it comes to retraining models. Option B sounds like a solid choice.

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Fallon

5 days ago

I agree, once a month seems like a good balance for keeping the model updated without too much overhead.

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Wendell

19 days ago

I think option B makes sense. It's a regular schedule for retraining the model.

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Georgene

2 months ago

Option A is the way to go! As new resources become available, we should take advantage of them to improve the model's performance.

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Bev

5 days ago

Definitely, staying up to date with new resources can greatly improve the accuracy of the predictions.

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Vernice

10 days ago

I agree, it's important to constantly update the model with new resources.

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Skye

29 days ago

A) As new resources become available

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Demetra

2 months ago

I'm torn between options C and D. If the input volume changes, the model might need to be updated to handle the increased or decreased data.

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King

2 months ago

I think option C is the correct approach. If the input format changes, the model needs to be retrained to handle the new format.

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Aleta

3 days ago

Retraining when the input format changes ensures the model stays relevant and effective.

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Jerry

6 days ago

It's important to stay updated with the input format changes for better performance.

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Lashaun

1 months ago

I agree, the model needs to adapt to the new format to make accurate predictions.

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Lisha

1 months ago

Option C is a good choice. The input format change is a key factor for retraining.

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Terrilyn

2 months ago

Hmm, that makes sense too. It's important to adapt to new resources for accurate predictions.

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Reita

2 months ago

I disagree, I believe A) As new resources become available is the best approach.

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Terrilyn

2 months ago

I think the correct approach is D) When the input volume changes.

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