ExamGecko
Search Search Login
Home Home / Salesforce / Certified AI Associate
Question list
Search
Search
Open VPLUS File
Convert VPLUS to PDF

Related questions

Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history. Which type of bias is most likely to be encountered in this scenario?
Why is it critical to consider privacy concerns when dealing with AI and CRM data?
Which features of Einstein enhance sales efficiency and effectiveness?
Which Einstein capability uses emails to create content for Knowledge articles?
What does the term 'data completeness' refer to in the context of data quality?
Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?
An administrator at Cloud Kicks wants to ensure that a field is set up on the customer record so their preferred name can be captured. Which Salesforce field type should the administrator use to accomplish this?
What is a key benefit of effective interaction between humans and AI systems?
A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models?
Salesforce defines bias as using a person's Immutable traits to classify them or market to them. Which potentially sensitive attribute is an example of an immutable trait?

Question 101 - Certified AI Associate discussion

Report
Export

Which best describes the difference between predictive AI and generative Al?

A.

Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.

Answers
A.

Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.

B.

Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

Answers
B.

Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

C.

Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.

Answers
C.

Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.

Suggested answer: B

Explanation:

Predictive AI and generative AI represent two different applications of machine learning technologies. Predictive AI focuses on making predictions based on historical data. It analyzes past data to forecast future outcomes, such as customer churn or sales trends. On the other hand, generative AI is designed to generate new and original outputs based on the learned data patterns. This includes tasks like creating new images, text, or music that resemble the training data but do not duplicate it. Both types of AI use machine learning, but their objectives and outputs are distinct. For detailed differences and applications in a Salesforce context, Salesforce's guide on AI technologies is a helpful resource, accessible at Salesforce AI Technologies.

Show Answer
asked 13/11/2024
Opeyemi Alabi
39 questions
PreviousPreviousNextNext
User
Your answer:
0 comments
Sorted by

Leave a comment first

ExamGecko

Copyright @2023 ExamGecko | All right reserved

Mail us: [email protected]
About us
Contact us
Twitter X
Facebook
Medium
Convert VPLUS to PDF
Open VPLUS files Easily and Quickly
Privacy Policy
Disclaimer
Terms