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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

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

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Alyce
1 months ago
Okay, let's think this through. Option B sounds like the clear winner here. Skewed data = biased models. I'm feeling pretty confident about this one.
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Rasheeda
5 days ago
Yeah, option B makes the most sense. We need diverse data for accurate results.
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Brinda
11 days ago
I agree, biased training data can lead to biased AI models.
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Micah
1 months ago
Haha, I bet the exam writers would love to see us all pick option A and watch us all fail. 'The data is collected in area time from sources systems' - what even is that?
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Weldon
16 days ago
I think option B is more likely. Bias can come from data skewed towards a specific group.
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Daron
18 days ago
Yeah, option A sounds like a trap. It doesn't even make sense.
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Amber
2 months ago
Ah, I see what they're getting at. If the data is collected from a diverse range of sources and demographics, that's actually less prone to bias. Gotta watch out for those sneaky exam writers!
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Carla
20 days ago
C) The data is collected from a diverse range of sources and demographics.
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Jordan
24 days ago
B) The data is skewed toward is particular demographic or source.
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Aliza
26 days ago
A) The data is collected in area time from sources systems.
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Dong
2 months 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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Karima
1 months ago
It's important to ensure that the data used is representative of the diverse range of sources and demographics.
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Deeann
1 months ago
Yes, I agree. Bias in training data can really affect the accuracy of AI models.
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Elli
2 months 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
3 months 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
3 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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