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Google Professional Machine Learning Engineer Exam - Topic 9 Question 48 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 48
Topic #: 9
[All Professional Machine Learning Engineer Questions]

You have trained a text classification model in TensorFlow using Al Platform. You want to use the trained model for batch predictions on text data stored in BigQuery while minimizing computational overhead. What should you do?

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Suggested Answer: A

by Harrison at Jun 28, 2022, 11:41 PM

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Ashlyn
4 months ago
Surprised that Dataflow isn't the top pick here!
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Misty
4 months ago
Really? I’m not sure if D is the most efficient way.
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Tracey
4 months ago
But what about A? Exporting to BigQuery ML could work too.
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Johanna
4 months ago
Agree, D seems the most straightforward!
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Mertie
4 months ago
I think option D is the best choice for batch predictions.
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Vi
5 months ago
I feel like submitting a batch prediction job directly from AI Platform might be the most straightforward method, but I need to double-check the details.
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Miesha
5 months ago
I think deploying the model on AI Platform could be a good choice, but I can't recall the specifics about minimizing overhead.
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Kathryn
5 months ago
I remember we discussed using BigQuery ML for model integration, but I'm not sure if that's the best option here.
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Victor
5 months ago
I practiced a similar question where we used Dataflow, but I’m uncertain if that’s the right approach for batch predictions specifically.
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Sue
5 months ago
Okay, I think I've got this. It's about defining the product, price, promotion, and place in a way that gives the target customer a clear and distinctive understanding of how it compares to competitors. I'll go with B.
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Carey
5 months ago
Hmm, I'm a little unsure about this one. I know the Merchant Tools module is used for importing and exporting content, but I can't quite remember all the specific object types. I'll have to think this through carefully.
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