Salesforce Exam Salesforce AI Associate Topic 3 Question 36 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam

Question #: 36
Topic #: 3

[All Salesforce AI Associate Questions]

What is a potential outcome of using poor-quality data in AI application?

AAI model training becomes slower and less efficient

BAI models may produce biased or erroneous results.

CAI models become more interpretable

Show Suggested Answer

Suggested Answer: B

''A potential outcome of using poor-quality data in AI applications is that AI models may produce biased or erroneous results. Poor-quality data means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor-quality data can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions. Poor-quality data can also introduce or exacerbate biases or errors in AI models, such as human bias, societal bias, confirmation bias, or overfitting or underfitting.''

by Rosita at Jan 12, 2025, 05:10 AM

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Emelda

8 days ago

Option B, hands down. You know what they say, 'A little knowledge is a dangerous thing.' Giving an AI system poor-quality data is just asking for trouble. Might as well just let a toddler loose in the data center.

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Kendra

13 days ago

I'm torn between A and B, but I think B is the better choice. Slow and inefficient AI training is one thing, but producing biased results? That's a whole other level of problematic.

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Kiley

8 days ago

I agree, biased results can have serious consequences.

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Fallon

20 days ago

I'm going to have to go with Option B as well. Garbage in, garbage out, as they say. Using low-quality data is a surefire way to end up with an AI system that's about as reliable as a coin flip.

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Lucia

5 days ago

Option B) AI models may produce biased or erroneous results.

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Whitney

29 days ago

Option B is clearly the correct answer. Poor-quality data can definitely lead to biased and inaccurate AI models. It's like trying to build a house on a shaky foundation - the end result is bound to be a mess.

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