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EMC D-GAI-F-01 Dell GenAI Foundations Achievement Exam Practice Test

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Total 58 questions

Dell GenAI Foundations Achievement Questions and Answers

Question 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?

Options:

A.

Systemic Bias

B.

Confirmation Bias

C.

Linguistic Bias

D.

Data Bias

Question 2

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

Which method should they use?

Options:

A.

Adversarial Training

B.

Reinforcement Learning through Human Feedback (RLHF)

C.

Self-supervised Learning

D.

Transfer Learning

Question 3

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

Question 4

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

What is one of the key benefits of doing so?

Options:

A.

They can handle more complicated problems

B.

They require less data

C.

They are cheaper to run

D.

They are easier to understand

Question 5

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.

Question 6

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

Options:

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

Question 7

A machine learning engineer is working on a project that involves training a model using labeled data.

What type of learning is he using?

Options:

A.

Self-supervised learning

B.

Unsupervised learning

C.

Supervised learning

D.

Reinforcement learning

Question 8

What is Transfer Learning in the context of Language Model (LLM) customization?

Options:

A.

It is where you can adjust prompts to shape the model's output without modifying its underlying weights.

B.

It is a process where the model is additionally trained on something like human feedback.

C.

It is a type of model training that occurs when you take a base LLM that has been trained and then train it on a different task while using all its existing base weights.

D.

It is where purposefully malicious inputs are provided to the model to make the model more resistant to adversarial attacks.

Question 9

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

Question 10

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?

Options:

A.

Feedforward Neural Networks

B.

Generative Adversarial Networks (GANs)

C.

Transformers

D.

Variational Autoencoders (VAEs)

Question 11

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

Question 12

A team is working on mitigating biases in Generative Al.

What is a recommended approach to do this?

Options:

A.

Regular audits and diverse perspectives

B.

Focus on one language for training data

C.

Ignore systemic biases

D.

Use a single perspective during model development

Question 13

A company is considering using Generative Al in its operations.

Which of the following is a benefit of using Generative Al?

Options:

A.

Decreased innovation

B.

Higher operational costs

C.

Enhanced customer experience

D.

Increased manual labor

Question 14

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

Question 15

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

Question 16

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

Options:

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

Question 17

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

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Total 58 questions