Weekend Special - 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: spcl70

D-GAI-F-01 PDF

$33

$109.99

3 Months Free Update

  • Printable Format
  • Value of Money
  • 100% Pass Assurance
  • Verified Answers
  • Researched by Industry Experts
  • Based on Real Exams Scenarios
  • 100% Real Questions

D-GAI-F-01 PDF + Testing Engine

$52.8

$175.99

3 Months Free Update

  • Exam Name: Dell GenAI Foundations Achievement
  • Last Update: Dec 8, 2024
  • Questions and Answers: 58
  • Free Real Questions Demo
  • Recommended by Industry Experts
  • Best Economical Package
  • Immediate Access

D-GAI-F-01 Engine

$39.6

$131.99

3 Months Free Update

  • Best Testing Engine
  • One Click installation
  • Recommended by Teachers
  • Easy to use
  • 3 Modes of Learning
  • State of Art Technology
  • 100% Real Questions included

D-GAI-F-01 Practice Exam Questions with Answers Dell GenAI Foundations Achievement Certification

Question # 6

What is a principle that guides organizations, government, and developers towards the ethical use of Al?

A.

Only regulatory agencies should be held accountable for the accuracy, fairness, and use of Al models

B.

The value of Al models must only be measured in financial gain.

C.

Al models must ensure data privacy and confidentiality.

D.

Al models must always agree with the user's point of view.

Full Access
Question # 7

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

Which phase requires the largest amount of resources?

A.

Deployment

B.

Inferencing

C.

Fine-tuning

D.

Training

Full Access
Question # 8

What are common misconceptions people have about Al? (Select two)

A.

Al can think like humans.

B.

Al can produce biased results.

C.

Al can learn from mistakes.

D.

Al is not prone to generate errors.

Full Access
Question # 9

A team of researchers is developing a neural network where one part of the network compresses input data.

What is this part of the network called?

A.

Creator of random noise

B.

Encoder

C.

Generator

D.

Discerner of real from fake data

Full Access
Question # 10

You are tasked with creating a model that uses a competitive setting between two neural networks to create new data.

Which model would you use?

A.

Feedforward Neural Networks

B.

Variational Autoencoders (VAEs)

C.

Generative Adversarial Networks (GANs)

D.

Transformers

Full Access
Question # 11

A company is implementing governance in its Generative Al.

What is a key aspect of this governance?

A.

Transparency

B.

User interface design

C.

Speed of deployment

D.

Cost efficiency

Full Access
Question # 12

What is the purpose of adversarial training in the lifecycle of a Large Language Model (LLM)?

A.

To make the model more resistant to attacks like prompt injections when it is deployed in production

B.

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

C.

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

D.

To randomize all the statistical weights of the neural network

Full Access
Question # 13

What are the potential impacts of Al in business? (Select two)

A.

Limiting the use of data analytics

B.

Increasing the need for human intervention

C.

Reducing production and operating costs

D.

Improving operational efficiency and enhancing customer experiences

Full Access
Question # 14

What is the role of a decoder in a GPT model?

A.

It is used to fine-tune the model.

B.

It takes the output and determines the input.

C.

It takes the input and determines the appropriate output.

D.

It is used to deploy the model in a production or test environment.

Full Access
Question # 15

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

Full Access
Question # 16

You are developing a new Al model that involves two neural networks working together in a competitive setting to generate new data.

What is this model called?

A.

Feedforward Neural Networks

B.

Generative Adversarial Networks (GANs)

C.

Transformers

D.

Variational Autoencoders (VAEs)

Full Access
Question # 17

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

Which model should they consider?

A.

BERT

B.

GPT-4

C.

Bloomberg GPT

D.

GPT-3

Full Access