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Salesforce Exam Salesforce AI Associate Topic 4 Question 28 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 28
Topic #: 4
[All Salesforce AI Associate Questions]

What is a potential source of bias in training data for AI models?

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Suggested Answer: B

To enhance the quality of lead data in their CRM system, the most effective process is to review and update missing lead information. This process involves identifying incomplete records and filling in missing details, which can significantly improve the accuracy and usefulness of lead data. Accurate and complete lead information is crucial for effective lead scoring, prioritization, and follow-up, enhancing overall sales performance. Salesforce CRM offers data quality tools and features that assist in regularly reviewing and maintaining the accuracy of lead data. Information on managing lead data quality in Salesforce can be found at Salesforce Lead Management.


by Olga at Sep 19, 2024, 01:41 AM

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Dong
18 days ago
Hmm, answer B sounds about right. Training data that's skewed toward a particular demographic or source could definitely introduce bias into the model. I hope the exam writers didn't just throw that option in as a distractor!
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Elli
19 days ago
But what if the data is collected from a diverse range of sources and demographics? Wouldn't that help reduce bias in the AI models?
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Maia
28 days ago
I agree with Twanna. If the training data is not diverse enough, it could lead to biased AI models.
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Twanna
1 months ago
I think a potential source of bias could be if the data is skewed toward a particular demographic or source.
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