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Google Professional Machine Learning Engineer Exam - Topic 8 Question 40 Discussion

You work for an online retail company that is creating a visual search engine. You have set up an end-to-end ML pipeline on Google Cloud to classify whether an image contains your company's product. Expecting the release of new products in the near future, you configured a retraining functionality in the pipeline so that new data can be fed into your ML models. You also want to use Al Platform's continuous evaluation service to ensure that the models have high accuracy on your test data set. What should you do?
C) Replace your test dataset with images of the newer products when they are introduced to retraining.
A) Keep the original test dataset unchanged even if newer products are incorporated into retraining
B) Extend your test dataset with images of the newer products when they are introduced to retraining
D) Update your test dataset with images of the newer products when your evaluation metrics drop below a pre-decided threshold.

Google Professional Machine Learning Engineer Exam - Topic 8 Question 40 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 40
Topic #: 8
[All Professional Machine Learning Engineer Questions]

You work for an online retail company that is creating a visual search engine. You have set up an end-to-end ML pipeline on Google Cloud to classify whether an image contains your company's product. Expecting the release of new products in the near future, you configured a retraining functionality in the pipeline so that new data can be fed into your ML models. You also want to use Al Platform's continuous evaluation service to ensure that the models have high accuracy on your test data set. What should you do?

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Suggested Answer: C

by Kristofer at May 07, 2022, 02:37 AM

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Almeta
10 months ago
Isn't it better to just keep adding new images? B makes sense!
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Mammie
10 months ago
D could lead to delayed updates, not a fan of that approach.
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Refugia
11 months ago
Wait, why would you replace the whole dataset? C sounds risky.
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Emilio
11 months ago
I disagree, A is safer for consistency.
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Louisa
11 months ago
B seems like the best option to keep things relevant!
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Taryn
11 months ago
Keeping the original test dataset unchanged seems risky, especially with new products coming in. I would lean towards extending it.
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Tom
11 months ago
I feel like we practiced a question similar to this, and I think updating the test dataset when metrics drop sounds like a good strategy.
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Freeman
11 months ago
I'm not entirely sure, but I think replacing the test dataset could lead to issues with model evaluation.
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Mi
11 months ago
I remember we discussed the importance of keeping the test dataset relevant, so I think extending it with new product images makes sense.
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Tu
11 months ago
The way I see it, the Scrum Master shouldn't just let the Product Owner continue tracking progress at the Daily Scrum. That goes against the purpose of the event.
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Tomas
11 months ago
I'm a bit unsure on this one. Is it talking about a specific legal term, or just a general contract concept? I'll have to review my notes to see if I can narrow it down.
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Donette
11 months ago
I've got a good strategy - I'll focus on the options that seem most aligned with best practices for interface design, like minimizing parameters and making it hard to misuse.
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Jerilyn
11 months ago
I think this question is similar to one we practiced about service types, but I can't recall if it was entity or utility service that was correct.
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