Free NVIDIA NCA-GENL Actual Exam Questions - Question 3 Discussion
Question No. 3
Why do we need positional encoding in transformer-based models?
Select one option, then reveal solution.
US
CE
Carlos E.
2026-02-19
Maybe D doesn’t make much sense since positional encoding doesn’t speed up processing. It’s definitely not about reducing dimensionality (C) or stopping overfitting (B), so A still feels right.
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CE
Carlos E.
2026-02-18
Probably A, since transformers lack any built-in sense of sequence order.
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SR
Sam R.
2026-01-31
A, transformers don’t inherently understand sequence order without it.
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NP
Naveed P.
2026-01-29
It’s A because transformers lack recurrence or convolution, so they need position info.
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NP
Naveed P.
2026-01-27
Makes sense it’s about order since transformers treat inputs as sets, so A.
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PM
Paul M.
2026-01-24
Positional encoding is definitely about order, since transformers don’t have any built-in notion of sequence position. So it’s not about reducing dimensions or speeding up anything, ruling out C and D.
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SH
Saad H.
2026-01-16
Makes sense that order matters here, so A.
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