[Nov 11, 2024] D-GAI-F-01 Exam Dumps PDF Updated Dump from SurePassExams Guaranteed Success [Q32-Q48]

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[Nov 11, 2024] D-GAI-F-01 Exam Dumps PDF Updated Dump from SurePassExams Guaranteed Success

Pass Your EMC Exam with D-GAI-F-01 Exam Dumps

Q32. 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?

Feedforward Neural Networks

Variational Autoencoders (VAEs)

Generative Adversarial Networks (GANs)

Transformers

Q33. 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

Q34. A legal team is assessing the ethical issues related to Generative Al.
What is a significant ethical issue they should consider?

Improved customer service

Enhanced creativity

Increased productivity

Q35. 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

Q36. 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.

Q37. 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

Q38. What is Artificial Narrow Intelligence (ANI)?

Al systems that can perform any task autonomously

Al systems that can process beyond human capabilities

Al systems that can think and make decisions like humans

Al systems that can perform a specific task autonomously

Q39. What is the primary purpose offine-tuning in the lifecycle of a Large Language Model (LLM)?

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

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

Q40. 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

Q41. What are the enablers that contribute towards the growth of artificial intelligence and its related technologies?

The introduction of 5G networks and the expansion of internet service provider coverage

The development of blockchain technology and quantum computing

The abundance of data, lower cost high-performance compute, and improved algorithms

The creation of the Internet and the widespread use of cloud computing

Q42. A company is planning its resources for the generative Al lifecycle.
Which phase requires the largest amount of resources?

Deployment

Inferencing

Fine-tuning

Training

Q43. 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

Q44. A business wants to protect user data while using Generative Al.
What should they prioritize?

Customer feedback

Product innovation

Marketing strategies

Robust security measures

Q45. Whatare the three key patrons involved in supporting the successful progress and formation ofany Al-based application?

Customer facing teams, executive team, and facilities team

Marketing team, executive team, and data science team

Customer facing teams, HR team, and data science team

Customer facing teams, executive team, and data science team

Q46. A company wants to use Al to improve its customer service by generating personalized responses to customer inquiries.
Which of the following is a way Generative Al can be used to improve customer experience?

By generating new product designs

By automating repetitive tasks

By providing personalized and timely responses through chatbots

By reducing operational costs

Q47. What is the significance ofparameters in Large Language Models (LLMs)?

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

Parameters are used to decrease the size of the LLMs.

Parameters are used to increase the size of the LLMs.

Parameters are statistical weights inside of the neural network of LLMs.

Q48. What are common misconceptions people have about Al? (Select two)

Al can think like humans.

Al can produce biased results.