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Salesforce Exam Consumer Goods Cloud Accredited Professional Topic 1 Question 26 Discussion

Actual exam question for Salesforce's Consumer Goods Cloud Accredited Professional exam
Question #: 26
Topic #: 1
[All Consumer Goods Cloud Accredited Professional Questions]

Which statement is correct about Consumer Goods- Einstein Visit Recommendations?

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Suggested Answer: D

To prevent Einstein from marking the competitor's product incorrectly as their own product when measuring their share-of-shelf, the field rep should edit product tags. Product tags are labels that identify and count products in an image using Einstein Vision. Einstein Vision is a feature that uses artificial intelligence to detect and count objects in an image. By editing product tags, the field rep can correct any errors or inaccuracies in the object detection process and ensure that their own products and their competitor's products are tagged correctly. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 24.


Contribute your Thoughts:

Malcom
27 days ago
Option A seems too simplistic. Surely there's more to it than just automating recommendations based on recent case activities.
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Freeman
12 days ago
I agree, there must be more factors at play when generating visit recommendations.
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Nieves
1 months ago
Ah, the age-old question of Einstein's visit recommendations. I bet he'd come up with a brilliant solution involving time travel and quantum mechanics!
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Cherrie
9 days ago
No, I believe Visit Recommendations rules consider the store operating hours.
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Leah
13 days ago
I think Visit Recommendations are automatically generated by recent case activities.
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Krissy
2 months ago
I'm leaning towards B. The system should avoid recommending visits that conflict with existing ones for the store.
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Ashlyn
5 days ago
Yes, Visit Recommendations automatically consider existing visits to avoid conflicts.
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Ruthann
14 days ago
I agree, the system should take into consideration already created visits for the store.
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Yan
1 months ago
I think B is correct. The system should avoid conflicting visits for the store.
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Ettie
2 months ago
D sounds like the best choice. Using the Next Best Action Strategy seems like a smart way to generate relevant visit recommendations.
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Alline
31 minutes ago
I'm not sure, but Visit Recommendations automatically taking into consideration already created visits for the store would be helpful.
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Reuben
11 days ago
I believe Visit Recommendations are automatically generated by recent case activities.
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Verona
1 months ago
I think Visit Recommendations rules should definitely consider the store operating hours.
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Malinda
2 months ago
I agree, using the Next Best Action Strategy sounds like a smart approach.
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Novella
2 months ago
I'm not sure, but I think D) Visit Recommendations can be created using the Next Best Action Strategy could also be correct.
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Yuriko
2 months ago
I agree with Layla, because it makes sense for the recommendations to take into account the store's operating hours.
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Layla
2 months ago
I think the correct statement is C) Visit Recommendations rules consider the store operating hours.
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Cherry
2 months ago
I think option C is the correct answer. The visit recommendations must take into account the store's operating hours to be effective.
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Anglea
1 months ago
I'm not sure, but option B also sounds plausible. Considering already created visits for the store could help in making more efficient recommendations.
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Jesusa
1 months ago
I believe option A is the correct answer. Visit Recommendations being automatically generated by recent case activities seems like a logical approach.
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Catina
1 months ago
I think option D could also be correct. Using the Next Best Action Strategy to create visit recommendations sounds like a good idea.
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Kayleigh
1 months ago
I agree, option C makes sense. It's important for the visit recommendations to align with the store's operating hours.
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