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NVIDIA NCA-AIIO Exam - Topic 2 Question 17 Discussion

Which aspect of computing uses large amounts of data to train complex neural networks?
B) Deep learning
A) Machine learning
C) Inferencing

NVIDIA NCA-AIIO Exam - Topic 2 Question 17 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 17
Topic #: 2
[All NCA-AIIO Questions]

Which aspect of computing uses large amounts of data to train complex neural networks?

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Suggested Answer: B

Deep learning, a subset of machine learning, relies on large datasets to train multi-layered neural networks, enabling them to learn hierarchical feature representations and complex patterns autonomously. While machine learning encompasses broader techniques (some requiring less data), deep learning's dependence on vast data volumes distinguishes it. Inferencing, the application of trained models, typically uses smaller, real-time inputs rather than extensive training data.

(Reference: NVIDIA AI Infrastructure and Operations Study Guide, Section on Deep Learning Fundamentals)


by Marge at Apr 08, 2026, 06:46 AM

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Selma
4 days ago
Agreed! Deep learning is all about those big datasets.
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Lisbeth
10 days ago
I think it's B) Deep learning. It needs tons of data.
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Emiko
15 days ago
Yeah, deep learning uses neural networks extensively.
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Aracelis
20 days ago
I feel like deep learning is the right choice too. It trains on layers.
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Burma
25 days ago
True, but deep learning is more complex.
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Doug
1 month ago
But isn't A) Machine learning also about data?
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Felix
1 month ago
Agreed! Deep learning is all about those big datasets.
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Nikita
1 month ago
I think it's B) Deep learning. It needs tons of data.
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Olene
2 months ago
Totally agree with B, deep learning is the future!
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Quentin
2 months ago
Wait, are we sure it's not just A? Seems too simple.
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Ashley
2 months ago
B is correct, deep learning needs tons of data!
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Quinn
3 months ago
I thought it was A) Machine learning?
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Nicolette
4 months ago
Definitely B) Deep learning!
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Melda
4 months ago
I’m a bit confused. Isn’t inferencing just the process after training? I think it’s either A or B.
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Artie
4 months ago
I feel like I've seen a question like this before, and deep learning was the answer. But what if it's machine learning?
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Lorenza
4 months ago
I remember studying machine learning, but it seems broader than just neural networks. Could it be deep learning instead?
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Laila
5 months ago
I think it's deep learning because it specifically deals with neural networks, but I'm not entirely sure.
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