Oracle Exam 1Z0-1127-24 Topic 2 Question 7 Discussion

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

Question #: 7
Topic #: 2

Which statement best describes the role of encoder and decoder models in natural language processing?

AEncoder models and decoder models both convert sequence* of words into vector representations without generating new text.

BEncoder models are used only for numerical calculations, whereas decoder models are used to interpret the calculated numerical values back into text.

CEncoder models take a sequence of words and predict the next word in the sequence, whereas decoder models convert a sequence of words into a numerical representation.

DEncoder models convert a sequence of words into a vector representation, and decoder models take this vector representation to sequence of words.

Show Suggested Answer

Suggested Answer: D

by Soledad at Jun 24, 2024, 07:02 AM

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Lashawn

5 months ago

Wait, aren't encoder and decoder models used in things like machine translation? I think option D makes the most sense in that context. Gotta love the NLP jargon, though!

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Sabina

5 months ago

Haha, this question is giving me flashbacks to my machine learning class. All these encoder-decoder models start to blend together after a while. I'm just going to go with D and hope for the best.

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Martina

5 months ago

Hmm, I was thinking option C was the right answer. Isn't that how most language models work, where the encoder predicts the next word and the decoder translates it back to text? But I could be wrong.

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Cathrine

3 months ago

I agree with option D. The encoder creates vector representations of words, and the decoder uses these vectors to generate a sequence of words.

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Linn

3 months ago

I see your point, but I believe option A is more accurate. Both encoder and decoder models convert words into vector representations without generating new text.

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Noelia

4 months ago

I think option D is the correct answer. The encoder converts words into vectors and the decoder turns those vectors back into words.

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Deja

4 months ago

I agree with you, option D seems to make more sense. The encoder creates a vector representation, and the decoder uses it to generate a sequence of words.

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Ngoc

4 months ago

I see your point, but I still believe option C is more accurate. The encoder predicts the next word, while the decoder converts the sequence into a numerical representation.

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Dwight

4 months ago

That makes sense. So the encoder and decoder work together to process and generate text.

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Candra

4 months ago

I think option D is the correct answer. The encoder converts words into vectors, and the decoder turns those vectors back into words.

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Joesph

5 months ago

I think option D is the correct answer. The encoder converts words into vectors and the decoder turns those vectors back into words.

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Leatha

5 months ago

I agree with Joni, D makes more sense.

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Okay, I think option D is the correct answer. The encoder model converts the sequence of words into a vector representation, and the decoder model then takes this vector representation and generates the sequence of words.

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Quentin

4 months ago

Yes, that's correct. The encoder model creates a vector representation of the input text, and the decoder model generates the output text based on that representation.

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Hubert

4 months ago

I agree, option D makes sense. The encoder and decoder models work together in natural language processing.

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Joni

5 months ago

But encoder models convert words into vectors, not predict the next word.

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Mozelle

5 months ago

I disagree, I believe it's C.

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Joni

6 months ago

I think the answer is D.

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Oracle Exam 1Z0-1127-24 Topic 2 Question 7 Discussion

Contribute your Thoughts:

Lashawn

Sabina

Martina

Cathrine

Linn

Noelia

Deja

Ngoc

Dwight

Candra

Joesph

Leatha

Lucina

Quentin

Hubert

Joni

Mozelle

Joni