Summer Special Discount 60% Offer - Ends in 0d 00h 00m 00s - Coupon code: brite60

ExamsBrite Dumps

Dell GenAI Foundations Achievement Question and Answers

Dell GenAI Foundations Achievement

Last Update Sep 22, 2025
Total Questions : 58

We are offering FREE D-GAI-F-01 EMC exam questions. All you do is to just go and sign up. Give your details, prepare D-GAI-F-01 free exam questions and then go for complete pool of Dell GenAI Foundations Achievement test questions that will help you more.

D-GAI-F-01 pdf

D-GAI-F-01 PDF

$42  $104.99
D-GAI-F-01 Engine

D-GAI-F-01 Testing Engine

$50  $124.99
D-GAI-F-01 PDF + Engine

D-GAI-F-01 PDF + Testing Engine

$66  $164.99
Questions 1

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

Options:

A.  

Customer facing teams, executive team, and facilities team

B.  

Marketing team, executive team, and data science team

C.  

Customer facing teams, HR team, and data science team

D.  

Customer facing teams, executive team, and data science team

Discussion 0
Questions 2

What is one of the objectives of Al in the context of digital transformation?

Options:

A.  

To become essential to the success of the digital economy

B.  

To reduce the need for Internet connectivity

C.  

To replace all human tasks with automation

D.  

To eliminate the need for data privacy

Discussion 0
Questions 3

A company wants to develop a language model but has limited resources.

What is the main advantage of using pretrained LLMs in this scenario?

Options:

A.  

They save time and resources

B.  

They require less data

C.  

They are cheaper to develop

D.  

They are more accurate

Discussion 0
Questions 4

What is one of the positive stereotypes people have about Al?

Options:

A.  

Al is unbiased.

B.  

Al is suitable only in manufacturing sectors.

C.  

Al can leave humans behind.

D.  

Al can help businesses complete tasks around the clock 24/7.

Discussion 0
Questions 5

A financial institution wants to use a smaller, highly specialized model for its finance tasks.

Which model should they consider?

Options:

A.  

BERT

B.  

GPT-4

C.  

Bloomberg GPT

D.  

GPT-3

Discussion 0
Questions 6

Why is diversity important in Al training data?

Options:

A.  

To make Al models cheaper to develop

B.  

To reduce the storage requirements for data

C.  

To ensure the model can generalize across different scenarios

D.  

To increase the model's speed of computation

Discussion 0
Questions 7

A tech company is developing ethical guidelines for its Generative Al.

What should be emphasized in these guidelines?

Options:

A.  

Cost reduction

B.  

Speed of implementation

C.  

Profit maximization

D.  

Fairness, transparency, and accountability

Discussion 0
Questions 8

What is the primary function of Large Language Models (LLMs) in the context of Natural Language Processing?

Options:

A.  

LLMs receive input in human language and produce output in human language.

B.  

LLMs are used to shrink the size of the neural network.

C.  

LLMs are used to increase the size of the neural network.

D.  

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

Discussion 0
Questions 9

A company wants to use Al to improve its customer service by generating personalized responses to customer inquiries.

Which of the following is a way Generative Al can be used to improve customer experience?

Options:

A.  

By generating new product designs

B.  

By automating repetitive tasks

C.  

By providing personalized and timely responses through chatbots

D.  

By reducing operational costs

Discussion 0
Questions 10

A company is developing an Al strategy.

What is a crucial part of any Al strategy?

Options:

A.  

Marketing

B.  

Customer service

C.  

Data management

D.  

Product design

Discussion 0
Questions 11

A healthcare company wants to use Al to assist in diagnosing diseases by analyzing medical images.

Which of the following is an application of Generative Al in this field?

Options:

A.  

Creating social media posts

B.  

Inventory management

C.  

Analyzing medical images for diagnosis

D.  

Fraud detection

Discussion 0
Questions 12

What are the three broad steps in the lifecycle of Al for Large Language Models?

Options:

A.  

Training, Customization, and Inferencing

B.  

Preprocessing, Training, and Postprocessing

C.  

Initialization, Training, and Deployment

D.  

Data Collection, Model Building, and Evaluation

Discussion 0
Questions 13

Imagine a company wants to use Al to improve its customer service by generating personalized responses to customer inquiries.

Which type of Al would be most suitable for this task?

Options:

A.  

Generative Al

B.  

Analytical Al

C.  

Sorting Al

D.  

Storage Al

Discussion 0
Questions 14

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

Options:

A.  

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

B.  

The development of blockchain technology and quantum computing

C.  

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

D.  

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

Discussion 0
Questions 15

A startup is planning to leverage Generative Al to enhance its business.

What should be their first step in developing a Generative Al business strategy?

Options:

A.  

Investing in talent

B.  

Risk management

C.  

Identifying opportunities

D.  

Data management

Discussion 0
Questions 16

A company is planning its resources for the generative Al lifecycle.

Which phase requires the largest amount of resources?

Options:

A.  

Deployment

B.  

Inferencing

C.  

Fine-tuning

D.  

Training

Discussion 0
Questions 17

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

Options:

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