D-GAI-F-01 Practice Exam Questions and Answers

A.  

Training, Customization, and Inferencing

B.  

Preprocessing, Training, and Postprocessing

C.  

Initialization, Training, and Deployment

D.  

Data Collection, Model Building, and Evaluation

A.  

To become essential to the success of the digital economy

B.  

To reduce the need for Internet connectivity

C.  

To replace all human tasks with automation

D.  

To eliminate the need for data privacy

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

A.  

Prioritize Al.

B.  

Develop a business strategy.

C.  

Address ethical and legal issues.

D.  

Develop a data strategy.

A.  

Inferencing

B.  

Data collection

C.  

Training

D.  

Fine-tuning

A.  

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

B.  

Parameters are used to decrease the size of the LLMs.

C.  

Parameters are used to increase the size of the LLMs.

D.  

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

A.  

The study of computer science

B.  

The study and design of intelligent agents

C.  

The study of data analysis

D.  

The study of human brain functions

A.  

They can handle more complicated problems

B.  

They require less data

C.  

They are cheaper to run

D.  

They are easier to understand

A.  

BERT

B.  

GPT-4

C.  

Bloomberg GPT

D.  

GPT-3

A.  

Cost reduction

B.  

Speed of implementation

C.  

Profit maximization

D.  

Fairness, transparency, and accountability