NCP-GENL Practice Questions - NVIDIA-Certified Professional Generative AI LLMs Exam - NCP-GENL Practice Questions - NVIDIA-Certified Professional Generative AI LLMs Exam

Question 1

In a decoder-only transformer using scaled dot-product attention, what is the purpose of dividing the dot product of Q and K by the square root of the head dimension?

It enforces a causal mask on future tokens It keeps the softmax in a regime with usable gradients as head dimension grows It prevents the model from learning positional information It reduces parameter count by sharing keys across heads

Correct Answer:

It keeps the softmax in a regime with usable gradients as head dimension grows

Question 2

Which positional encoding scheme rotates query and key vectors in 2D subspaces so that relative position information is preserved in attention scores?

Sinusoidal absolute positional encoding Learned absolute positional embeddings Rotary Position Embedding (RoPE) ALiBi linear bias

Correct Answer:

Rotary Position Embedding (RoPE)

Question 3

Which normalization variant drops the mean-centering step and divides by the root-mean-square of activations, and is used by Llama-style models?

LayerNorm BatchNorm RMSNorm GroupNorm

Correct Answer:

RMSNorm

Question 4

Compared to Post-LN, why have modern large language models largely adopted Pre-LN placement of the normalization layer?

Pre-LN reduces total parameter count Pre-LN provides better training stability at large depths and removes the need for warmup tricks Pre-LN is required for RoPE to function Pre-LN enables INT8 quantization automatically

Correct Answer:

Pre-LN provides better training stability at large depths and removes the need for warmup tricks

Question 5

Which activation pattern is used in the feed-forward block of Llama-class models, replacing the original transformer's ReLU-based FFN?

SwiGLU GELU only Sigmoid Tanh

Correct Answer:

SwiGLU

Question 1

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Prepare with the NCP-GENL Practice Questions - NVIDIA-Certified Professional Generative AI LLMs Exam practice quiz. This question bank includes 100 questions covering model, nvidia, inference, because, and attention. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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NCP-GENL Practice Questions - NVIDIA-Certified Professional Generative AI LLMs Exam

This practice set contains 100 questions from the matching question bank and focuses on model, nvidia, inference, because, and attention. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

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NCP-GENL Practice Questions - NVIDIA-Certified Professional Generative AI LLMs Exam

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