Amazon Exam AIF-C01 Topic 4 Question 3 Discussion

Actual exam question for Amazon's AIF-C01 exam

Question #: 3
Topic #: 4

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.

Which type of FM should the AI practitioner use to power the search application?

AMulti-modal embedding model

BText embedding model

CMulti-modal generation model

DImage generation model

Show Suggested Answer

Suggested Answer: A

by Craig at Sep 08, 2024, 10:39 AM

Limited Time Offer

25%

Off

Get Premium AIF-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Margo

2 months ago

Wait, is the answer E) All of the above? I mean, why limit yourself to just one type of model when you can use them all!

upvoted 0 times

Shenika

1 months ago

C) Multi-modal generation model could also be a good option for combining text and images in the search application.

upvoted 0 times

...

Remona

1 months ago

B) Text embedding model could work too, but it might not be as versatile as a multi-modal model.

upvoted 0 times

...

Rosalia

1 months ago

A) Multi-modal embedding model sounds like the best choice for handling both text and images.

upvoted 0 times

...

Hassie

2 months ago

Haha, I bet the answer is D, an image generation model. That would be hilarious, but probably not very useful for this search app.

upvoted 0 times

Tom

2 months ago

Maybe it's a combination of A and B for both text and images.

upvoted 0 times

...

Moon

2 months ago

I'm leaning towards B, a text embedding model.

upvoted 0 times

...

Samira

2 months ago

No way, it has to be C, a multi-modal generation model.

upvoted 0 times

...

Judy

2 months ago

I think the answer is A, a multi-modal embedding model.

upvoted 0 times

...

Sherell

3 months ago

I'm not sure, but I think the answer might be B, a text embedding model. Isn't that what most search engines use these days?

upvoted 0 times

Lucina

2 months ago

Yeah, I agree with Lucina. Text embedding models are commonly used in search engines.

upvoted 0 times

...

Brandon

2 months ago

I'm not sure, but I think the answer might be B, a text embedding model.

upvoted 0 times

...

Layla

2 months ago

Actually, I think B, a text embedding model, would be the best choice for this search application.

upvoted 0 times

...

Marg

2 months ago

I disagree, I believe the correct answer is C, a multi-modal generation model.

upvoted 0 times

...

Andra

2 months ago

I'm not so sure about that. I believe it might be C, a multi-modal generation model.

upvoted 0 times

...

Hermila

2 months ago

I think the answer is A, a multi-modal embedding model.

upvoted 0 times

...

Rosann

2 months ago

I think the answer is A, a multi-modal embedding model.

upvoted 0 times

...

Cathrine

3 months ago

I think a text embedding model might not be sufficient for handling both text and images in the search application.

upvoted 0 times

...

Josphine

3 months ago

I believe a multi-modal generation model could also be a good option for this scenario.

upvoted 0 times

...

Annette

3 months ago

I agree with Marjory, a multi-modal embedding model can handle both text and images in the search application.

upvoted 0 times

...

Beata

3 months ago

I'm leaning towards A, a multi-modal embedding model. That sounds like it would be able to handle the text and image queries the best.

upvoted 0 times

...

Georgene

3 months ago

Hmm, this one's a tricky one. I think the answer is C, a multi-modal generation model. It's the only one that can handle both text and images, right?

upvoted 0 times

Yvonne

2 months ago

Yes, a multi-modal generation model is designed to handle multiple types of data like text and images in a search application.

upvoted 0 times

...

Geraldine

3 months ago

I agree, a multi-modal generation model would be the best choice for handling both text and images.

upvoted 0 times

...

Marjory

3 months ago

I think the AI practitioner should use a multi-modal embedding model.

upvoted 0 times

...