NVIDIA NCA-GENL Actual Free Exam Questions & Community Discussion

Exam Code/Number: NCA-GENL
Exam Name/Title: NVIDIA Generative AI LLMs
Certification Provider: NVIDIA
Corresponding Certification: NVIDIA-Certified Associate

Exam Questions: 97
Updated On: Oct 03, 2026

Question #31

What is the correct order of steps in an ML project?

A. Model evaluation, Data collection, Data preprocessing, Model training

B. Model evaluation, Data preprocessing, Model training, Data collection

C. Data collection, Data preprocessing, Model training, Model evaluation

D. Data preprocessing, Data collection, Model training, Model evaluation

Discussion 0

Correct Answer: C Vote an answer

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Question #32

What is the main consequence of the scaling law in deep learning for real-world applications?

A. Small and medium error regions can approach the results of the big data region.

B. The best performing model can be established even in the small data region.

C. With more data, it is possible to exceed the irreducible error region.

D. In the power-law region, with more data it is possible to achieve better results.

Discussion 0

Correct Answer: D Vote an answer

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Question #33

You are working on developing an application to classify images of animals and need to train a neural model.
However, you have a limited amount of labeled data. Which technique can you use to leverage the knowledge from a model pre-trained on a different task to improve the performance of your new model?

A. Dropout

B. Transfer learning

C. Random initialization

D. Early stopping

Discussion 0

Correct Answer: B Vote an answer

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Question #34

Which tool would you use to select training data with specific keywords?

A. ActionScript

B. Regular expression filter

C. JSON parser

D. Tableau dashboard

Discussion 0

Correct Answer: B Vote an answer

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Question #35

You are using RAPIDS and Python for a data analysis project. Which pair of statements best explains how RAPIDS accelerates data science?

A. RAPIDS enables on-GPU processing of computationally expensive calculations and minimizes CPU- GPU memory transfers.

B. RAPIDS provides lossless compression of CPU-GPU memory transfers to speed up data analysis.

C. RAPIDS is a Python library that provides functions to accelerate the PCIe bus throughput via word- doubling.

Discussion 0

Correct Answer: A Vote an answer

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Question #36

What is the purpose of the NVIDIA NGC catalog?

A. To provide a platform for developers to collaborate and share software development projects.

B. To provide a curated collection of GPU-optimized AI and data science software.

C. To provide a platform for testing and debugging software applications.

D. To provide a marketplace for buying and selling software development tools and resources.

Discussion 0

Correct Answer: B Vote an answer

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Question #37

What are the main advantages of instructed large language models over traditional, small language models (<
300M parameters)? (Pick the 2 correct responses)

A. Smaller latency, higher throughput.

B. Single generic model can do more than one task.

C. It is easier to explain the predictions.

D. Cheaper computational costs during inference.

E. Trained without the need for labeled data.

Discussion 0

Correct Answer: B,D Vote an answer

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Question #38

Which of the following is a key characteristic of Rapid Application Development (RAD)?

A. Extensive upfront planning before any development.

B. Iterative prototyping with active user involvement.

C. Linear progression through predefined project phases.

D. Minimal user feedback during the development process.

Discussion 0

Correct Answer: B Vote an answer

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Question #39

What is confidential computing?

A. A method for interpreting and integrating various forms of data in AI systems.

B. A technique for aligning the output of the AI models with human beliefs.

C. A technique for securing computer hardware and software from potential threats.

D. A process for designing and applying AI systems in a manner that is explainable, fair, and verifiable.

Discussion 0

Correct Answer: C Vote an answer

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Question #40

In the Transformer architecture, which of the following statements about the Q (query), K (key), and V (value) matrices is correct?

A. Q, K, and V are randomly initialized weight matrices used for positional encoding.

B. K is responsible for computing the attention scores between the query and key vectors.

C. V is used to calculate the positional embeddings for each token in the input sequence.

D. Q represents the query vector used to retrieve relevant information from the input sequence.

Discussion 0

Correct Answer: D Vote an answer

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