Oracle Exam 1Z0-1127-24 Topic 1 Question 9 Discussion

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

Question #: 9
Topic #: 1

[All 1Z0-1127-24 Questions]

Which role docs a "model end point" serve in the inference workflow of the OCI Generative AI service?

AHosts the training data for fine-tuning custom model

BEvaluates the performance metrics of the custom model

CServes as a designated point for user requests and model responses

DUpdates the weights of the base model during the fine-tuning process

Show Suggested Answer

Suggested Answer: D

by Dorothea at Jul 08, 2024, 11:22 AM

Limited Time Offer

25%

Off

Get Premium 1Z0-1127-24 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Alisha

10 months ago

Loss? More like 'Toss' this question in the bin, am I right? Anyway, A seems like the winner.

upvoted 0 times

...

Nydia

10 months ago

Wait, is this some kind of trick question? I'm still leaning towards A.

upvoted 0 times

Becky

9 months ago

I'm sticking with A, the difference between accuracy at the beginning and deployed model.

upvoted 0 times

...

Eden

9 months ago

I'm not sure, but I believe it's D, the level of incorrectness in predictions.

upvoted 0 times

...

Joanne

10 months ago

I think it's B, the percentage of incorrect predictions.

upvoted 0 times

...

Marica

10 months ago

Yes, that's true. It's about the difference in accuracy as well.

upvoted 0 times

...

Jamie

10 months ago

But isn't 'Loss' also about the difference between the accuracy at the beginning and the deployed model?

upvoted 0 times

...

Belen

10 months ago

This is a tricky one, but I'm betting A is the right answer.

upvoted 0 times

...

Katheryn

10 months ago

I agree with Marica, lower values of 'Loss' indicate better performance.

upvoted 0 times

...

Candida

10 months ago

I was a bit confused at first, but after thinking it through, A makes the most sense.

upvoted 0 times

Carmela

10 months ago

D: Yeah, lower loss values indicate better performance in the predictions.

upvoted 0 times

...

Marsha

10 months ago

C: So, it's basically showing how much the model has improved over time.

upvoted 0 times

...

Dorothy

10 months ago

B: That makes sense, it's like comparing the initial performance to the final performance.

upvoted 0 times

...

Omega

10 months ago

A: I think it measures the difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model.

upvoted 0 times

...

France

11 months ago

D is an interesting option, but I'm confident A is the correct answer.

upvoted 0 times

Lili

9 months ago

Let's go with A then.

upvoted 0 times

...

Rory

10 months ago

I agree, A seems to be the most accurate choice.

upvoted 0 times

...

Nan

10 months ago

I think A is the correct answer.

upvoted 0 times

...

Dean

11 months ago

Hmm, B seems like a plausible answer too, but I'm going with A.

upvoted 0 times

...

Alberto

11 months ago

I think the answer is A. The loss measures the difference in accuracy between the initial model and the deployed model.

upvoted 0 times

Kimbery

10 months ago

Yeah, the loss measures the difference in accuracy between the initial model and the deployed model.

upvoted 0 times

...

Lindy

10 months ago

I think the answer is A.

upvoted 0 times

...

Marica

11 months ago

I think 'Loss' measures the level of incorrectness in the model's predictions.

upvoted 0 times

...