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Amazon MLS-C01 Exam - Topic 6 Question 26 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 26
Topic #: 6
[All MLS-C01 Questions]

A Machine Learning Specialist is configuring automatic model tuning in Amazon SageMaker

When using the hyperparameter optimization feature, which of the following guidelines should be followed to improve optimization?

Choose the maximum number of hyperparameters supported by

Show Suggested Answer Hide Answer
Suggested Answer: C

by Carmela at May 07, 2022, 06:58 AM

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Lucina
4 months ago
Yeah, I think D is a bit outdated for today's needs.
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Keneth
4 months ago
Wait, only one tuning job at a time? That seems inefficient!
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Katina
4 months ago
C sounds interesting, I hadn't thought about log-scaling before.
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Brittney
4 months ago
I disagree, B could lead to unnecessary complexity.
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Jordan
5 months ago
A is definitely the way to go for more combinations!
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Maryanne
5 months ago
Okay, I've got this. The key is that the question is asking about the "default" date format, so the answer has to be about changing the system-wide setting, not just for individual forms or user profiles. I'm going with option B.
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Jerry
5 months ago
I remember discussing benchmarking in class, but I'm not entirely sure if that's the right term for comparing practices.
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Delmy
5 months ago
Okay, let me see. The question is asking about how approvals are created, so I'm guessing it has to do with the approval process and the tables involved in that.
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Silva
5 months ago
I'm leaning towards cflowd-template, but I feel like it wasn't specifically about routing decisions in the same way as the others.
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Lyla
5 months ago
My instinct says production scheduling might help too, but it feels more focused on operations rather than evaluation of promotions.
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