1z0-1122-24 Practice Questions

A.  

Encrypting the data for security reasons

B.  

Adjusting the model parameters to improve accuracy

C.  

Upgrading the hardware of the AI clusters

D.  

Doubling the neural network layers

A.  

Writing code for the entire program

B.  

Performing data analysis on collected and labeled data

C.  

Analyzing the accuracy of a trained model

D.  

Establishing a relationship between input features and output

A.  

Detecting and preventing fraud in financial transactions

B.  

Detecting vehicle number plates to issue speed citations

C.  

Generating realistic images from text

D.  

Analyzing historical data for unusual patterns

A.  

By generating lifelike speech from documents

B.  

By analyzing sentiment in text documents

C.  

By transcribing spoken language

D.  

By automating data extraction from documents

A.  

Finding relationships within data sets

B.  

Identifying patterns in data

C.  

Making predictions from labeled data

D.  

Learning from outcomes to make decisions

A.  

Locating and extracting text in images

B.  

Translating text in images to another language

C.  

Assigning classification labels to images

D.  

Object detection with bounding boxes

A.  

Vision

B.  

Language

C.  

Document Understanding

D.  

Speech

A.  

Reinforcement learning

B.  

Unsupervised learning

C.  

Active learning

D.  

Supervised learning

A.  

Explicability

B.  

Prevention of harm

C.  

Respect for human autonomy

D.  

Fairness

A.  

Generate transcript from documents

B.  

Extract tables from documents

C.  

Classify documents into different types

D.  

Extract text from documents