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Salesforce AI Associate Exam - Topic 1 Question 43 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam

Question #: 43
Topic #: 1

[All Salesforce AI Associate Questions]

What are the three commonly used examples of AI in CRM?

APredictive scoring, reporting, Image classification

BPredictive scoring, forecasting, recommendations

CEinstein Bots, face recognition, recommendations

Show Suggested Answer

Suggested Answer: B

''Predictive scoring, forecasting, and recommendations are three commonly used examples of AI in CRM. Predictive scoring can help prioritize leads, opportunities, and customers based on their likelihood to convert, churn, or buy. Forecasting can help predict future sales, revenue, or demand based on historical data and trends. Recommendations can help suggest the best products, services, or actions for each customer based on their preferences, behavior, and needs.''

by Estrella at Jun 16, 2025, 02:05 AM

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Juan

6 months ago

Totally with B on this one, makes the most sense!

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Kami

6 months ago

I thought it was A? Reporting is super important too!

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Adolph

6 months ago

C seems off, Einstein Bots aren't that common in CRM.

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Elke

6 months ago

Wait, face recognition in CRM? That’s surprising!

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Jackie

6 months ago

Definitely B! Predictive scoring, forecasting, recommendations are key.

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Cathrine

7 months ago

Recommendations seem to come up a lot in CRM discussions, but I can't recall if they were paired with predictive scoring or something else.

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Amber

7 months ago

I feel like Einstein Bots could be relevant, but I'm not confident about the others.

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Lenna

7 months ago

I remember practicing a question like this, and I think forecasting was mentioned as a key example.

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France

7 months ago

I think predictive scoring is definitely one of them, but I'm not sure about the other two.

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Vicki

7 months ago

Ah, I remember learning about this in class. The three examples are Einstein Bots, face recognition, and recommendations. I'm pretty confident that's the right answer.

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Rosamond

8 months ago

Okay, let me think this through. I know AI is used a lot in CRM, but the specific examples are escaping me at the moment. I'll have to review my notes and come back to this one.

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Kayleigh

8 months ago

Hmm, I'm a bit unsure about this one. I think it might be something like predictive scoring, reporting, and image classification, but I'm not totally sure.

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Altha

8 months ago

I'm pretty confident I know the answer to this one. The three commonly used examples of AI in CRM are predictive scoring, forecasting, and recommendations.

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Caitlin

11 months ago

I'm glad they didn't include 'skynet' as one of the options. That would have been a real buzzkill.

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Adrianna

11 months ago

Predictive scoring, reporting, and image classification? Looks like AI is branching out beyond just recommendations.

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Merissa

10 months ago

I agree, predictive scoring, reporting, and image classification are becoming more common in CRM AI.

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Lawrence

10 months ago

Yes, AI in CRM has definitely evolved to include more than just recommendations.

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Telma

11 months ago

But predictive scoring and reporting are commonly used in CRM, so I still think A) is the correct answer.

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Brynn

11 months ago

Einstein Bots, face recognition, and recommendations? I'm sensing a pattern here - AI loves to help us out with recommendations!

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Theresia

10 months ago

Definitely, AI in CRM is all about enhancing customer interactions and making processes more efficient.

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Alexia

10 months ago

I agree, it's amazing how AI can analyze data and make personalized suggestions.

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Irma

11 months ago

Yes, AI is great at providing recommendations to improve customer experience.

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Leontine

11 months ago

I disagree, I believe it's C) Einstein Bots, face recognition, recommendations.

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Telma

11 months ago

I think the answer is A) Predictive scoring, reporting, Image classification.

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Delisa

12 months ago

Predictive scoring, forecasting, and recommendations? Sounds like a winning combo to me!

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Candida

11 months ago

B) Predictive scoring, forecasting, recommendations

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Dottie

11 months ago

A) Predictive scoring, reporting, Image classification

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