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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.
Suggested Answer: C
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27 comments · newest first
EL
Ellen
11 months ago
Not sure if any option will really cut costs significantly.
AN
An
11 months ago
Totally agree with Option A, it targets the right steps.
SH
Shanda
11 months ago
Wait, are we really considering data export costs? That's surprising!
BU
Bulah
11 months ago
I disagree, I think Option C might be better.
EU
Eun
12 months ago
Option A seems like a solid choice for cost reduction.
HA
Harrison
12 months ago
I vaguely remember something about using BigQuery more efficiently, maybe by leveraging its built-in functions instead of exporting data.
ST
Staci
1 year 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.
CA
Cammy
1 year ago
I think one of the practice questions mentioned using batch processing to reduce costs, but I can't recall the specifics.
TR
Trina
1 year ago
I remember we discussed optimizing data export costs, but I'm not sure which option directly addresses that.
MA
Margurite
1 year 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.
ST
Stephaine
1 year 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.
KA
Kaitlyn
1 year 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.
JU
Julio
1 year 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.
ME
Mel
1 year 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.
JO
Jose
1 year 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.
BE
Bernardine
2 years 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.
LA
Layla
1 year ago
I agree, C seems like a good option to reduce costs.
MI
Mireya
1 year ago
I'm not sure, but I'll go with D just to mix it up.
YU
Yuki
1 year ago
I'm going with A, it seems like the most efficient option.
VI
Victor
1 year ago
I think C is a safe choice too.
KA
Kayleigh
2 years ago
Bob
VI
Vincenza
1 year ago
Eve
LA
Lauryn
1 year ago
Charlie
GI
Gilma
1 year ago
Alice
LA
Lasandra
2 years ago
I believe Option C might be the best choice to reduce model development costs.
WA
Wai
2 years ago
I agree with you, Ashley. Maybe we can explore using a more efficient data export method.
AS
Ashley
2 years ago
I think we should consider optimizing the data export and preprocessing steps to reduce costs.