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Salesforce Exam Marketing Cloud Personalization Topic 1 Question 11 Discussion

Actual exam question for Salesforce's Marketing Cloud Personalization exam
Question #: 11
Topic #: 1
[All Marketing Cloud Personalization Questions]

What is the salesforce point of view for end to end flow of data for real-time personalization within interaction studio? [Check]

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Suggested Answer: D

Contribute your Thoughts:

Rocco
29 days ago
Option A is the correct answer, but let's be honest - Salesforce probably has a secret option E: 'Profit.'
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Zachary
1 months ago
A all the way! It's like a dance routine - data in, understand the steps, engage the audience, data out, and then analyze the performance. Salesforce is the Fred Astaire of CRM, after all.
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Iluminada
1 months ago
I'm going with A. It just sounds more Salesforce-y, you know? Like, they love their fancy marketing jargon.
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Rolland
1 months ago
B is too simplistic, C is more like a generic decision-making process. D has the right idea, but I think A is the winner here.
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Lashonda
2 months ago
I'm not sure, but I think C) Identify, understand, decide, act, analyse could also be a valid option for the flow of data for real-time personalization.
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Miles
2 months ago
Option A seems like the most comprehensive flow, covering all the key steps from data input to analysis. Definitely the Salesforce way!
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Annmarie
20 days ago
True, but I feel like option A provides a more structured approach for end-to-end flow.
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Lashon
26 days ago
I think option C could also work well, with the focus on identifying, deciding, and acting.
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Janessa
1 months ago
I agree, it's important to have a clear process for real-time personalization.
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Madalyn
1 months ago
Option A seems like the most comprehensive flow, covering all the key steps from data input to analysis. Definitely the Salesforce way!
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Adelina
2 months ago
I agree with Kendra, because it makes sense to first bring in the data, understand it, engage with it, then analyze the results.
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Kendra
2 months ago
I think the answer is A) Data-in, understand, engage, data-out, analyse.
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