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Google Professional Machine Learning Engineer Exam - Topic 1 Question 42 Discussion

You have a functioning end-to-end ML pipeline that involves tuning the hyperparameters of your ML model using Al Platform, and then using the best-tuned parameters for training. Hypertuning is taking longer than expected and is delaying the downstream processes. You want to speed up the tuning job without significantly compromising its effectiveness. Which actions should you take?Choose 2 answers
B) Decrease the range of floating-point values and D) Change the search algorithm from Bayesian search to random search.
A) Decrease the number of parallel trials
C) Set the early stopping parameter to TRUE
E) Decrease the maximum number of trials during subsequent training phases.

Google Professional Machine Learning Engineer Exam - Topic 1 Question 42 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 42
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You have a functioning end-to-end ML pipeline that involves tuning the hyperparameters of your ML model using Al Platform, and then using the best-tuned parameters for training. Hypertuning is taking longer than expected and is delaying the downstream processes. You want to speed up the tuning job without significantly compromising its effectiveness. Which actions should you take?

Choose 2 answers

Show Suggested Answer Hide Answer
Suggested Answer: B, D

by Rory at May 04, 2022, 07:44 PM

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Raul
10 months ago
I’m not sure about that, but I guess it could work.
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Corrina
10 months ago
No way, decreasing parallel trials will just slow it down more!
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Mitsue
11 months ago
Wait, changing to random search? That seems risky!
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Merrilee
11 months ago
Decreasing the range of values might help speed things up too.
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Mammie
11 months ago
I think setting early stopping to TRUE is a smart move!
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Gary
11 months ago
I feel like decreasing the number of parallel trials might actually slow things down, but I can't recall for sure. I guess I need to think more about A.
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Belen
11 months ago
I practiced a similar question where changing the search algorithm helped improve efficiency. I think D could be a good choice too.
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Kiley
11 months ago
I'm not entirely sure, but decreasing the range of floating-point values could help reduce the search space. Maybe option B?
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Cyndy
11 months ago
I remember something about early stopping being useful to speed up training, so I think option C might be one of the answers.
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Omega
11 months ago
This is a good test of our knowledge of CI/CD tools and how they can be applied to ACE applications. I feel pretty confident I can work through the pros and cons of each approach and select the best option.
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Wava
11 months ago
Okay, I've got this. The output clearly shows the characteristics of a Contract, so I'm going to select option A as my answer. I feel pretty good about this one.
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Ronny
11 months ago
This is a good one. I'm pretty confident I can get this right. The key is to think about the standard components of financial statements and then eliminate the options that would typically be included.
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Daisy
11 months ago
Okay, I've got this. The 5S tool that's all about organizing the workstation so everything has a designated place is called "Straightening". I'm confident that's the right answer.
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Janine
11 months ago
I'm a little confused by this question. I'm not sure how the operating systems and fan-in/fan-out ratios would impact the disk type and RAID level selection. I'd focus on the workload characteristics and I/O requirements.
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Catarina
11 months ago
I think open policies were mentioned in a practice question, but I can't recall the specifics on how they differ from all-risk policies.
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