Dell GenAI Foundations Achievement (D-GAI-F-01) Free Practice Test

Question 1

In a Variational Autoencoder (VAE), you have a network that compresses the input data into a smaller representation.
What is this network called?

A. Decoder

B. Discriminator

C. Generator

D. Encoder

Correct Answer: D

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Question 2

What are the enablers that contribute towards the growth of artificial intelligence and its related technologies?

A. The abundance of data, lower cost high-performance compute, and improved algorithms

B. The creation of the Internet and the widespread use of cloud computing

C. The development of blockchain technology and quantum computing

D. The introduction of 5G networks and the expansion of internet service provider coverage

Correct Answer: A

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Question 3

You are designing a Generative Al system for a secure environment.
Which of the following would not be a core principle to include in your design?

A. Learning Patterns

B. Generation of New Data

C. Creativity Simulation

D. Data Encryption

Correct Answer: C

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Question 4

A company is considering using deep neural networks in its LLMs.
What is one of the key benefits of doing so?

A. They are easier to understand

B. They can handle more complicated problems

C. They require less data

D. They are cheaper to run

Correct Answer: B

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Question 5

What is the first step an organization must take towards developing an Al-based application?

A. Address ethical and legal issues.

B. Develop a business strategy.

C. Develop a data strategy.

D. Prioritize Al.

Correct Answer: C

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Question 6

What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?

A. Supervised learning feeds a large corpus of raw data into the Al system, while unsupervised learning uses labeled data to teach the Al system what output is expected.

B. Supervised learning is common for base model training, while unsupervised learning is common for fine tuning and customization.

C. Supervised learning uses labeled data to teach the Al system what output is expected, while unsupervised learning feeds a large corpus of raw data into the Al system, which determines the appropriate weights in its neural network.

D. Supervised learning is common for fine tuning and customization, while unsupervised learning is common for base model training.

Correct Answer: C

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EMC Dell GenAI Foundations Achievement (D-GAI-F-01) Free Practice Test