Salesforce Exam Salesforce AI Associate Topic 1 Question 18 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam

Question #: 18
Topic #: 1

[All Salesforce AI Associate Questions]

How does a data quality assessment impact business outcome for companies using AI?

AImproves the speed of AI recommendations

BAccelerates the delivery of new AI solutions

CProvides a benchmark for AI predictions

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 Poor-quality data means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task.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 Beckie at May 07, 2024, 03:20 AM

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Ulysses

1 months ago

All these options seem good, but I'm going to have to go with the one that makes me laugh the most. Option A it is!

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Grover

1 months ago

I'm leaning towards option A. Improved speed of AI recommendations is what most businesses are looking for, isn't it?

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Aileen

9 days ago

Yes, speed is crucial in today's fast-paced business environment. Option A seems like the way to go.

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Tegan

18 days ago

Option A sounds like a good choice. Faster recommendations can definitely benefit businesses.

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Dusti

22 days ago

Option A) Improves the speed of AI recommendations.

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Melynda

1 months ago

I think option B is the way to go. Accelerating the delivery of new AI solutions is key for staying ahead of the competition.

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Shawnda

6 days ago

Having a benchmark for AI predictions with option C can help companies measure their success.

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Benedict

13 days ago

Improving the speed of AI recommendations with option A could also be beneficial.

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Ethan

1 months ago

I agree, option B can definitely give companies a competitive edge.

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Erick

2 months ago

Definitely option C. Without a benchmark for AI predictions, how can you trust the business outcomes?

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Annabelle

13 days ago

Without a benchmark, it's hard to measure the success of AI solutions.

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Terrilyn

27 days ago

I agree, having a benchmark is crucial for trusting the business outcomes.

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Aimee

1 months ago

That's true, data quality assessment plays a key role in the success of AI solutions.

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Nicholle

1 months ago

It also helps in measuring the accuracy and reliability of AI recommendations.

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Hayley

1 months ago

Option C provides a benchmark for AI predictions.

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Ashleigh

2 months ago

I agree, having a benchmark is crucial for trusting the business outcomes.

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Desmond

2 months ago

Option C provides a benchmark for AI predictions.

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Leota

2 months ago

I believe it also improves the speed of AI recommendations.

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Stephania

2 months ago

A data quality assessment is crucial for ensuring accurate and reliable AI predictions. Option C seems to be the best answer here.

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Tiara

1 months ago

Improves the speed of AI recommendations.

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Luther

1 months ago

Option C provides a benchmark for AI predictions.

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Kaitlyn

2 months ago

I agree, it helps in providing a benchmark for AI predictions.

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Rosalind

2 months ago

I think a data quality assessment is crucial for accurate AI predictions.

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