Free EMC D-GAI-F-01 Practice Test & Real Exam Questions

Exam Code/Number: D-GAI-F-01
Exam Name/Title: Dell GenAI Foundations Achievement
Certification Provider: EMC
Corresponding Certification: Generative AI

Exam Questions: 60
Updated On: Aug 11, 2026

Question #1

What is feature-based transfer learning?

A. Training a model on entirely new features

B. Enhancing the model's features with real-time data

C. Selecting specific features of a model to keep while removing others

D. Transferring the learning process to a new model

Discussion 0

Correct Answer: C Vote an answer

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Question #2

What is the significance of parameters in Large Language Models (LLMs)?

A. Parameters are statistical weights inside of the neural network of LLMs.

B. Parameters are used to increase the size of the LLMs.

C. Parameters are used to decrease the size of the LLMs.

D. Parameters are used to parse image, audio, and video data in LLMs.

Discussion 0

Correct Answer: A Vote an answer

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Question #3

What are the three key patrons involved in supporting the successful progress and formation of any Al-based application?

A. Marketing team, executive team, and data science team

B. Customer facing teams, HR team, and data science team

C. Customer facing teams, executive team, and facilities team

D. Customer facing teams, executive team, and data science team

Discussion 0

Correct Answer: D Vote an answer

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Question #4

What strategy can an Al-based company use to develop a continuous improvement culture?

A. Limit the involvement of humans in decision-making processes.

B. Discourage the use of Al in education systems.

C. Focus on the improvement of human-driven processes.

D. Build a small Al community with people of similar backgrounds.

Discussion 0

Correct Answer: C Vote an answer

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Question #5

What is the primary purpose oi inferencing in the lifecycle of a Large Language Model (LLM)?

A. To customize the model for a specific task by feeding it task-specific content

B. To feed the model a large volume of data from a wide variety of subjects

C. To use the model in a production, research, or test environment

D. To randomize all the statistical weights of the neural networks

Discussion 0

Correct Answer: C Vote an answer

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Question #6

In Transformer models, you have a mechanism that allows the model to weigh the importance of each element in the input sequence based on its context.
What is this mechanism called?

A. Feedforward Neural Networks

B. Random Seed

C. Latent Space

D. Self-Attention Mechanism

Discussion 0

Correct Answer: D Vote an answer

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