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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

SectionWeightObjectives
Data Integration14%- Salesforce Connector
- ETL feed system
- Data flows in and out of Marketing Cloud Personalization
- Event API
Solution Overview16%- Core components and terminology
- Real-time Interaction Management (RTIM) value and use cases
- Marketing Cloud Personalization fundamentals
Segmentation18%- Export segments
- Segment rules and filters
- Journey Builder segment listener
- Goals and reporting
Setup & Administration6%- User attributes and identity system
- Initial platform setup
Sitemap18%- Catalog and page mapping
- Content zones
- Unified customer profile
- Web SDK implementation
Activation18%- Server-side campaigns
- A/B Testing
- Email and mobile campaigns
Einstein Capabilities10%- Einstein recipes
- Ingredients and recommendation tuning

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
When should you define goals and filters?

Answer: A


NEW QUESTION # 59
A brand wants to do an ad-hoc export of a segment. What option could they use?

Answer: B


NEW QUESTION # 60
A brand is testing three campaigns, each one with a control experience. Which segment type can the brand setup to make sure the same group always gets the control experience?

Answer: D


NEW QUESTION # 61
What two features of interaction studio can be used in an open-time email campaign?

Answer: C,D

Explanation:
InInteraction Studio, open-time email campaigns can dynamically personalize content for users at the moment they open an email. The two features utilized in open-time emails are:
* Promotion (Answer A):
* Promotions allow marketers to deliver dynamic offers or messages to users. At open time, these promotions adapt based on the recipient's real-time behavior and attributes.
* Use Case: Displaying a promotion for a sale or an offer personalized to the user's recent activities.
* Recipe (Answer D):
* Recipes drive dynamic content recommendations, such as product suggestions or personalized content blocks, in the email. Recipes dynamically adjust based on user preferences or real-time context at the time of email open.
* Use Case: Recommending products based on recent browsing history or purchase behavior.
References:
* Salesforce Interaction Studio Documentation - Open-Time Email Personalization


NEW QUESTION # 62
In the user interface, what is the visual representation of the data about a single visitor including preferences and affinities?

Answer: A


NEW QUESTION # 63
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