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  • Exam Name: Dell GenAI Foundations Achievement
  • Last Update: 23-Jul-2024
  • Questions and Answers: 58
  • Single Choice: 57 Q&A's
  • Multiple Choice: 1 Q&A's

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D-GAI-F-01 Questions and Answers

Question # 1

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


Al can think like humans.


Al can produce biased results.


Al can learn from mistakes.


Al is not prone to generate errors.

Question # 2

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

Which phase requires the largest amount of resources?









Question # 3

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


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


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


Al models must ensure data privacy and confidentiality.


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

Question # 4

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


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.


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


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.


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

Question # 5

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


To become essential to the success of the digital economy


To reduce the need for Internet connectivity


To replace all human tasks with automation


To eliminate the need for data privacy

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