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Salesforce Marketing Cloud Personalization Accredited Professional (AP-216) Exam - Topic 1 Question 21 Discussion

Actual exam question for Salesforce's Marketing Cloud Personalization Accredited Professional (AP-216) exam
Question #: 21
Topic #: 1
[All Marketing Cloud Personalization Accredited Professional (AP-216) Questions]

Which ingredient shows a vistor products or content based on a "people like me" algorithm?

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Suggested Answer: B

by Ammie at Oct 19, 2023, 01:29 PM

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Brynn
3 months ago
Similar Items just shows what you clicked on, not "people like me."
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Joesph
3 months ago
Trending is cool, but not what we're looking for.
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Shelia
3 months ago
Wait, is Co Browser really a thing? Sounds weird.
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Iola
4 months ago
Definitely agree, that's the one!
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Dominque
4 months ago
I think it's C, Collaborative Filtering.
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Eloisa
4 months ago
I thought Co Browser was more about real-time browsing together, so I don't think that's it. I'm leaning towards C as well.
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Shanda
4 months ago
I feel like I saw a practice question that mentioned Similar Items, but I can't recall if that was the right context for this question.
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Lyla
4 months ago
I'm not entirely sure, but I remember something about "people like me" being related to how items are grouped based on user behavior.
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Sheridan
5 months ago
I think the answer might be C, Collaborative Filtering, since it uses data from similar users to recommend products.
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Tanesha
5 months ago
Ah, this is a tricky one. I'm not super familiar with the different recommendation algorithms, so I'm not 100% sure which one uses a "people like me" approach. I'll have to think about it and make an educated guess.
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Berry
5 months ago
I'm a bit unsure about this one. The options seem to be talking about different types of recommendation systems, but I'm not totally sure which one is specifically based on a "people like me" approach. I might have to guess on this one.
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Ligia
5 months ago
Hmm, this seems like a question about recommendation algorithms. I think the "people like me" algorithm is probably Collaborative Filtering, so I'll go with option C.
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Ranee
5 months ago
Okay, I think I know this one. The "people like me" algorithm is usually referring to Collaborative Filtering, where the system recommends items based on what similar users have liked. So I'm going to go with option C.
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Dante
5 months ago
I'm feeling pretty confident about this one. The question is asking for the solution with the least operational overhead, so I'm leaning towards using a managed security service like AWS WAF or AWS Network Firewall.
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Junita
5 months ago
Okay, let me think this through step-by-step. The 3 Pillars are about banking regulations, and they cover the key areas that banks need to focus on. I'm pretty sure liquidity and capital requirements are two of them, so I'll eliminate A and go with D.
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Rosamond
5 months ago
Peering authentication using LDAP users and groups? That's an interesting option I hadn't considered. I'll make sure to remember that.
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Ceola
10 months ago
I was about to choose Similar Items, but then I realized that's more for recommending related products, not based on user similarity. Gotta be Collaborative Filtering.
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Denny
8 months ago
C) Collaborative Filtering is the ingredient that shows content based on a 'people like me' algorithm.
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Allene
8 months ago
B) Trending shows what's popular overall, not necessarily what people like me would prefer.
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Felix
10 months ago
A) Similar Items is more for recommending related products, not based on user similarity.
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Earlean
10 months ago
Haha, Co Browser? That's a new one. I'm confident Collaborative Filtering is the way to go on this one.
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Enola
10 months ago
Co Browser? Really? That sounds like it has nothing to do with the question. I'm going with Collaborative Filtering too.
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Alita
10 months ago
Hmm, I'm not sure. I was thinking Trending might be the answer, but Collaborative Filtering makes more sense for a 'people like me' recommendation.
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Colby
8 months ago
Trending might show what's popular overall, but Collaborative Filtering is more tailored to individual preferences.
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Vi
8 months ago
I agree, Collaborative Filtering takes into account preferences of users similar to you.
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Cherrie
9 months ago
Yeah, Collaborative Filtering makes more sense for personalized recommendations.
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William
9 months ago
I think Collaborative Filtering is the right answer.
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Glory
11 months ago
I think Collaborative Filtering is the correct answer here. That algorithm uses the similarity between users to recommend products or content.
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Ardella
9 months ago
I think Similar Items could also be a good choice for showing content based on user preferences.
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Denny
9 months ago
I agree, Collaborative Filtering is the way to go for personalized recommendations.
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Thaddeus
9 months ago
Yes, Collaborative Filtering is definitely the right choice for showing visitors products or content based on a 'people like me' algorithm.
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Lezlie
10 months ago
I agree, Collaborative Filtering is all about recommending products or content based on what similar users like.
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Edelmira
11 months ago
I think A) Similar Items could also be a good option, as it shows products that are similar to what the user is currently viewing.
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Fabiola
11 months ago
I agree with Tonette, Collaborative Filtering is a powerful tool that helps recommend items based on user preferences.
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Tonette
11 months ago
C) Collaborative Filtering is the ingredient that shows products or content based on a 'people like me' algorithm.
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