NVIDIA Generative AI LLMs (NCA-GENL) Free Practice Test

Question 1

What is Retrieval Augmented Generation (RAG)?

A. RAG is a technique used to fine-tune pre-trained LLMs for improved performance.

B. RAG is an architecture used to optimize the output of an LLM by retraining the model with domain- specific data.

C. RAG is a method for manipulating and generating text-based data using Transformer-based LLMs.

D. RAG is a methodology that combines an information retrieval component with a response generator.

Correct Answer: D

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Question 2

When designing an experiment to compare the performance of two LLMs on a question-answering task, which statistical test is most appropriate to determine if the difference in their accuracy is significant, assuming the data follows a normal distribution?

A. Chi-squared test

B. Mann-Whitney U test

C. Paired t-test

D. ANOVA test

Correct Answer: C

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Question 3

Which of the following is an activation function used in neural networks?

A. Mean Squared Error function

B. K-means clustering function

C. Sigmoid function

D. Diffusion function

Correct Answer: C

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Question 4

Which principle of Trustworthy AI primarily concerns the ethical implications of AI's impact on society and includes considerations for both potential misuse and unintended consequences?

A. Legal Responsibility

B. Certification

C. Data Privacy

D. Accountability

Correct Answer: D

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Question 5

What distinguishes BLEU scores from ROUGE scores when evaluating natural language processing models?

A. BLEU scores determine the fluency of text generation, while ROUGE scores rate the uniqueness of generated text.

B. BLEU scores measure model efficiency, whereas ROUGE scores assess computational complexity.

C. BLEU scores analyze syntactic structures, while ROUGE scores evaluate semantic accuracy.

D. BLEU scores evaluate the 'precision' of translations, while ROUGE scores focus on the 'recall' of summarized text.

Correct Answer: D

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Question 6

You have access to training data but no access to test data. What evaluation method can you use to assess the performance of your AI model?

A. Greedy decoding

B. Cross-validation

C. Average entropy approximation

D. Randomized controlled trial

Correct Answer: B

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Question 7

Which of the following optimizations are provided by TensorRT? (Choose two.)

A. Layer Fusion

B. Variable learning rate

C. Residual connections

D. Data augmentation

E. Multi-Stream Execution

Correct Answer: A,E

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Question 8

In the context of preparing a multilingual dataset for fine-tuning an LLM, which preprocessing technique is most effective for handling text from diverse scripts (e.g., Latin, Cyrillic, Devanagari) to ensure consistent model performance?

A. Removing all non-Latin characters to simplify the input.

B. Applying Unicode normalization to standardize character encodings.

C. Converting text to phonetic representations for cross-lingual alignment.

D. Normalizing all text to a single script using transliteration.

Correct Answer: B

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Question 9

In the field of AI experimentation, what is the GLUE benchmark used to evaluate performance of?

A. AI models on a range of natural language understanding tasks.

B. AI models on speech recognition tasks.

C. AI models on image recognition tasks.

D. AI models on reinforcement learning tasks.

Correct Answer: A

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Question 10

What is the main difference between forward diffusion and reverse diffusion in diffusion models of Generative AI?

A. Forward diffusion focuses on progressively injecting noise into data, while reverse diffusion focuses on generating new samples from the given noise vectors.

B. Forward diffusion focuses on generating a sample from a given noise vector, while reverse diffusion reverses the process by estimating the latent space representation of a given sample.

C. Forward diffusion uses feed-forward networks, while reverse diffusion uses recurrent networks.

D. Forward diffusion uses bottom-up processing, while reverse diffusion uses top-down processing to generate samples from noise vectors.

Correct Answer: A

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NVIDIA Generative AI LLMs (NCA-GENL) Free Practice Test