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Salesforce Marketing Cloud Personalization Accredited Professional (AP-216) Exam - Topic 4 Question 43 Discussion

Actual exam question for Salesforce's Marketing Cloud Personalization Accredited Professional (AP-216) exam
Question #: 43
Topic #: 4
[All Marketing Cloud Personalization Accredited Professional (AP-216) Questions]

Which ingredient shows a visitor products or content based on a 'people like me' algorithm?

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Suggested Answer: D

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Trina
3 months ago
Trending doesn't fit the 'people like me' vibe at all!
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Nilsa
3 months ago
A is also a good guess, but I lean towards D.
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Shaun
3 months ago
Wait, is that really how it works?
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Sunshine
4 months ago
Totally agree, that's the one!
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Eleni
4 months ago
I think it's D, Collaborative Filtering.
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Margurite
4 months ago
I thought 'Trending' was more about what's popular right now, not necessarily based on user similarity. So I’m leaning towards D too.
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Caprice
4 months ago
I feel like I've seen questions about this before, and Collaborative Filtering seems to fit the 'people like me' concept best.
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Phyliss
4 months ago
I'm not entirely sure, but I remember something about 'Similar Items' being related to user preferences. Could that be it?
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Ronald
5 months ago
I think the answer might be D, Collaborative Filtering, because it uses data from similar users to recommend products.
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Ellsworth
5 months ago
The key here is understanding how these different recommendation algorithms work. Based on the description, I think D. Collaborative Filtering is the best answer since it uses data about similar users to make recommendations.
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Glory
5 months ago
I'm a bit confused by the options here. I'm not sure I fully understand the differences between these recommendation approaches. I'll have to do some more research before deciding.
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Myra
5 months ago
I'm pretty confident the answer is A. Similar Items is a classic 'people like me' algorithm that shows products based on what similar customers have viewed or purchased.
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German
5 months ago
Hmm, I'm not sure about this one. I'll have to think it through more carefully. Maybe I should review my notes on recommendation systems.
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Scot
5 months ago
I think the answer is D. Collaborative Filtering is a common algorithm that uses data about similar users to recommend products.
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Sue
1 year ago
I'm not sure, but I think it could also be A) Similar Items. It sounds like it could show products based on similarities.
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Teddy
1 year ago
I'm going with Collaborative Filtering. It's the algorithm that knows me better than I know myself!
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Willard
1 year ago
Collaborative Filtering is the best, it really does know my taste perfectly.
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Ollie
1 year ago
Co-Browse is great for discovering new products with friends.
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Kayleigh
1 year ago
Trending is my go-to, it keeps me up to date with what's popular.
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Shayne
1 year ago
I prefer Similar Items, it always shows me things I didn't even know I wanted.
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Caprice
1 year ago
Collaborative Filtering, for sure. It's the algorithm that really understands my unique tastes. The 'people like me' part is key!
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Edgar
1 year ago
Trending is nice, but I prefer the personalized touch of Collaborative Filtering.
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Clay
1 year ago
I think Similar Items is also pretty good at showing products based on what others like.
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Tayna
1 year ago
I agree, Collaborative Filtering is amazing. It always recommends things I end up loving.
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Fanny
1 year ago
Hmm, I'm not sure. Trending seems like it could work too. But Collaborative Filtering does sound more targeted.
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Jesse
1 year ago
Yeah, Collaborative Filtering shows products based on 'people like me'.
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Ronald
1 year ago
I agree, Collaborative Filtering is more personalized.
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Mauricio
1 year ago
Trending could work too, but Collaborative Filtering is more specific.
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Soledad
1 year ago
I think Collaborative Filtering is more targeted.
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Katy
1 year ago
I agree with Francoise, Collaborative Filtering makes sense for showing products based on 'people like me'.
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Leatha
1 year ago
Collaborative Filtering all the way! That's the secret sauce for those personalized product suggestions.
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Francoise
1 year ago
I think the answer is D) Collaborative Filtering.
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Rosita
1 year ago
I think Collaborative Filtering is the way to go here. It just makes the most sense for showing recommendations based on similar users.
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Yuki
1 year ago
I think Similar Items could also work well for showing products based on similar users.
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Oneida
1 year ago
I agree, Collaborative Filtering is a great way to show recommendations.
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