ExamGecko
Question list
Search
Search

Question 81 - Certified AI Associate discussion

Report
Export

What is a Key consideration regarding data quality in AI implementation?

A.
Techniques from customizing AI features in Salesforce
Answers
A.
Techniques from customizing AI features in Salesforce
B.
Data's role in training and fine-tuning Salesforce AI models
Answers
B.
Data's role in training and fine-tuning Salesforce AI models
C.
Integration process of AI models with Salesforce workflows
Answers
C.
Integration process of AI models with Salesforce workflows
Suggested answer: B

Explanation:

''Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery.''

asked 23/09/2024
David Galiata
32 questions
User
Your answer:
0 comments
Sorted by

Leave a comment first