Salesforce AI Associate Exam - Topic 2 Question 53 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam

Question #: 53
Topic #: 2

[All Salesforce AI Associate Questions]

How does data quality impact the trustworthiness of Al-driven decisions?

AThe use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.

BHigh-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

CLow-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.

Show Suggested Answer

Suggested Answer: B

''High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AI systems.''

by Meaghan at Mar 05, 2026, 05:34 PM

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Eveline

5 days ago

I’m a bit confused about option C. I thought low-quality data usually leads to worse predictions, not better trustworthiness.

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Benton

10 days ago

I think I came across a practice question that emphasized how high-quality data builds user trust. So, I’m leaning towards option B being the correct answer.

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Deeanna

15 days ago

I remember studying how high-quality data is crucial for AI, but I'm not entirely sure if low-quality data can ever help improve accuracy.

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Paris

20 days ago

From what I studied, high-quality data definitely enhances credibility, so I would lean towards option B again.

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Carolann

25 days ago

I feel like I've seen practice questions where low-quality data was linked to overfitting, but I can't recall if that really boosts trustworthiness.

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Clay

1 month ago

I'm a bit unsure about option A; I thought mixing low and high-quality data could actually confuse the model rather than improve accuracy.

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Markus

1 month ago

I remember discussing how high-quality data is crucial for building trust in AI systems, so I think option B makes the most sense.

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