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EMC Dell GenAI Foundations Achievement - D-GAI-F-01 Exam Questions

Page: 1 / 10
Total 60 questions

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QUESTION NO: 1
A team is analyzing the performance of their Al models and noticed that the models are reinforcing existing flawed ideas.
What type of bias is this?

A. Linguistic Bias B. Confirmation Bias C. Data Bias D. Systemic Bias

Correct Answer: D

Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).

QUESTION NO: 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 parse image, audio, and video data in LLMs. C. Parameters are used to increase the size of the LLMs. D. Parameters are used to decrease the size of the LLMs.

Correct Answer: A

Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).

QUESTION NO: 3
What is the role of a decoder in a GPT model?

A. It is used to fine-tune the model. B. It takes the input and determines the appropriate output. C. It takes the output and determines the input. D. It is used to deploy the model in a production or test environment.

Correct Answer: B

Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).

QUESTION NO: 4
What is the purpose of the explainer loops in the context of Al models?

A. They are used to provide insights into the model's reasoning, allowing users and developers to understand why a model makes certain predictions or decisions. B. They are used to increase the bias in the Al models. C. They are used to increase the complexity of the Al models. D. They are used to reduce the accuracy of the Al models.

Correct Answer: A

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QUESTION NO: 5
What is the difference between supervised and unsupervised learning in the context of training Large Language Models (LLMs)?

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

Correct Answer: A

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QUESTION NO: 6
What strategy can an Al-based company use to develop a continuous improvement culture?

A. Discourage the use of Al in education systems. B. Limit the involvement of humans in decision-making processes. C. Build a small Al community with people of similar backgrounds. D. Focus on the improvement of human-driven processes.

Correct Answer: D

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Page: 1 / 10
Total 60 questions

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