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?
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?
Which Einstein capability uses emails to create content for Knowledge articles?
What is a societal implication of excluding ethics in AI development?
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?

Question 95 - Certified AI Associate discussion

Report
Export

Cloud Kicks wants to improve the quality of its AI model's predictions with the use of a large amount of data.

Which data quality element should the company focus on?

A.

Accuracy

Answers
A.

Accuracy

B.

Location

Answers
B.

Location

C.

Volume

Answers
C.

Volume

Suggested answer: A

Explanation:

To improve the quality of AI model predictions, Cloud Kicks should focus on the accuracy of the data. Accurate data ensures that the insights and predictions generated by AI models are reliable and valid. Data accuracy involves correcting errors, filling missing values, and verifying data sources to enhance the quality of information fed into the AI systems. Focusing on data accuracy helps in minimizing prediction errors and enhances the decision-making process based on AI insights. For more details on the importance of data quality in AI models, Salesforce provides extensive guidance in their documentation, which can be found at Data Quality and AI.

Show Answer
asked 13/11/2024
deborah lockett
29 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