Online D-GAI-F-01 Dumps Help You Understand Questions Well

If you're interested in pursuing the Dell Generative AI certification, it's important to understand the exam format and the types of questions you can expect. This is where D-GAI-F-01 questions come in. D-GAI-F-01 exam dumps questions are designed to simulate the actual certification exam, providing you with a deeper understanding of the exam format and what to expect on test day. By taking practice exams and reviewing D-GAI-F-01 questions, you can identify areas where you may need to focus your studying. Study free D-GAI-F-01 exam dumps below.

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1. A tech startup is developing a chatbot that can generate human-like text to interact with its users.

What is the primary function of the Large Language Models (LLMs) they might use?

To store data

To encrypt information

To generate human-like text

To manage databases

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

Which model should they consider?

BERT

GPT-4

Bloomberg GPT

GPT-3

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3. 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?

Investing in talent

Risk management

Identifying opportunities

Data management

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

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

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

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

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

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5. 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?

Learning Patterns

Creativity Simulation

Generation of New Data

Data Encryption

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6. What is the purpose of fine-tuning in the generative Al lifecycle?

To put text into a prompt to interact with the cloud-based Al system

To randomize all the statistical weights of the neural network

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

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

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

Prioritize Al.

Develop a business strategy.

Address ethical and legal issues.

Develop a data strategy.

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8. Why should artificial intelligence developers always take inputs from diverse sources?

To investigate the model requirements properly

To perform exploratory data analysis

To determine where and how the dataset is produced

To cover all possible cases that the model should handle

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9. A company is developing an Al strategy.

What is a crucial part of any Al strategy?

Marketing

Customer service

Data management

Product design

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10. What role does human feedback play in Reinforcement Learning for LLMs?

It is used to provide real-time corrections to the model's output.

It helps in identifying the model's architecture for optimization.

It assists in the physical hardware improvement of the model.

It rewards good output and penalizes bad output to improve the model.

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

Limiting the use of data analytics

Increasing the need for human intervention

Reducing production and operating costs

Improving operational efficiency and enhancing customer experiences

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

Which phase requires the largest amount of resources?

Deployment

Inferencing

Fine-tuning

Training

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13. A company is considering using deep neural networks in its LLMs.

What is one of the key benefits of doing so?

They can handle more complicated problems

They require less data

They are cheaper to run

They are easier to understand

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14. 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?

Creator of random noise

Encoder

Generator

Discerner of real from fake data

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15. 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?

Systemic Bias

Confirmation Bias

Linguistic Bias

Data Bias

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16. A team is working on improving an LLM and wants to adjust the prompts to shape the model's output.

What is this process called?

Adversarial Training

Self-supervised Learning

P-Tuning

Transfer Learning

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17. A team is looking to improve an LLM based on user feedback.

Which method should they use?

Adversarial Training

Reinforcement Learning through Human Feedback (RLHF)

Self-supervised Learning

Transfer Learning

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18. What impact does bias have in Al training data?

It ensures faster processing of data by the model.

It can lead to unfair or incorrect outcomes.

It simplifies the algorithm's complexity.

It enhances the model's performance uniformly across tasks.

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