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Google Professional Machine Learning Engineer Exam - Topic 6 Question 83 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 83
Topic #: 6
[All Professional Machine Learning Engineer Questions]

You developed a Vertex Al pipeline that trains a classification model on data stored in a large BigQuery table. The pipeline has four steps, where each step is created by a Python function that uses the KubeFlow v2 API The components have the following names:

You launch your Vertex Al pipeline as the following:

You perform many model iterations by adjusting the code and parameters of the training step. You observe high costs associated with the development, particularly the data export and preprocessing steps. You need to reduce model development costs. What should you do?

A.

Show Suggested Answer Hide Answer
Suggested Answer: C

Contribute your Thoughts:

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Bulah
6 days ago
I disagree, I think Option C might be better.
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Eun
12 days ago
Option A seems like a solid choice for cost reduction.
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Harrison
18 days ago
I vaguely remember something about using BigQuery more efficiently, maybe by leveraging its built-in functions instead of exporting data.
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Staci
23 days ago
I feel like we should focus on the preprocessing step since that's where the high costs are, but I’m uncertain about the best approach.
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Cammy
28 days ago
I think one of the practice questions mentioned using batch processing to reduce costs, but I can't recall the specifics.
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Trina
1 month ago
I remember we discussed optimizing data export costs, but I'm not sure which option directly addresses that.
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Margurite
1 month ago
This is a great question that really tests our understanding of Vertex AI pipelines and cost optimization. I feel confident that I can analyze the situation and propose an effective solution to reduce the development costs.
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Stephaine
1 month ago
Hmm, I'm a bit confused by the different pipeline steps and how they relate to the costs. I'll need to review the details more closely to understand what's going on and come up with a good solution.
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Kaitlyn
1 month ago
This looks like a tricky question, but I think I can tackle it. I'll need to carefully analyze the pipeline steps and the cost breakdown to determine the best approach to reduce the development costs.
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Julio
1 month ago
Okay, I've got a strategy in mind. I think the key is to focus on optimizing the data export and preprocessing steps, since those seem to be the main cost drivers. I'll need to dig into the code and see if there are any opportunities to streamline those processes.
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Mel
1 month ago
This question is a bit confusing, but I'll try to break it down. I'm pretty sure the business partner and contract account are the two correct answers here.
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Jose
2 months ago
I'm feeling pretty confident about this one. Real Agents, Profile Agents, Scenario period, and Shifts are definitely the right answers. I'll mark those and submit my response.
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Bernardine
7 months ago
Wait, is this a trick question? What if the answer is actually 'All of the above' and we have to choose the most 'cost-effective' one? Guess I'll go with C just to be safe.
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Layla
5 months ago
I agree, C seems like a good option to reduce costs.
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Mireya
6 months ago
I'm not sure, but I'll go with D just to mix it up.
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Yuki
6 months ago
I'm going with A, it seems like the most efficient option.
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Victor
6 months ago
I think C is a safe choice too.
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Kayleigh
7 months ago
Bob
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Vincenza
6 months ago
Eve
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Lauryn
6 months ago
Charlie
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Gilma
6 months ago
Alice
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Lasandra
7 months ago
I believe Option C might be the best choice to reduce model development costs.
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Wai
7 months ago
I agree with you, Ashley. Maybe we can explore using a more efficient data export method.
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Ashley
7 months ago
I think we should consider optimizing the data export and preprocessing steps to reduce costs.
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