Oracle Exam 1Z0-1127-24 Topic 1 Question 4 Discussion

Actual exam question for Oracle's 1Z0-1127-24 exam

Question #: 4
Topic #: 1

[All 1Z0-1127-24 Questions]

When should you use the T-Few fine-tuning method for training a model?

AFor complicated semantical undemanding improvement

BFor models that require their own hosting dedicated Al duster

CFor data sets with a few thousand samples or less

DFor data sets with hundreds of thousands to millions of samples

Show Suggested Answer

Suggested Answer: D

by Tonja at May 30, 2024, 06:19 AM

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Margart

6 months ago

I agree, because it helps improve the model's performance on smaller datasets.

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Casie

6 months ago

Haha, 'Al duster'? What even is that? I'm going with C, small datasets sound like the right use case for T-Few.

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Fairy

6 months ago

D seems more reasonable to me. Isn't T-Few used for larger datasets? I'm a bit confused on the specifics though.

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Alex

6 months ago

It's important to use the right method based on the size of the dataset. T-Few is indeed for larger datasets.

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Jin

6 months ago

Yes, you're correct. T-Few is recommended for data sets with hundreds of thousands to millions of samples.

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Madonna

6 months ago

D seems like the right choice. T-Few is usually used for larger datasets.

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Thurman

6 months ago

I think we should use it for data sets with a few thousand samples or less.

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Tasia

6 months ago

I think option C is the correct answer. T-Few is great for small datasets, makes sense to use it in that case.

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Peter

5 months ago

I think option D might be better for larger datasets with hundreds of thousands of samples.

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Precious

6 months ago

I agree, option C is the best choice for small datasets.

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Grover

6 months ago

Yeah, using T-Few for small datasets is definitely the way to go.

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Jacki

6 months ago

I agree, option C is the best choice for T-Few fine-tuning.

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Stanford

6 months ago

I think option D might also work for larger datasets with hundreds of thousands of samples.

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Kara

6 months ago

I agree, option C is the best choice for small datasets.

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Denae

7 months ago

When should we use the T-Few fine-tuning method?

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