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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Integration14%- Salesforce Connector
- ETL feed system
- Event API
- Data flows in and out of Marketing Cloud Personalization
Topic 2: Setup & Administration6%- User attributes and identity system
- Initial platform setup
Topic 3: Segmentation18%- Goals and reporting
- Export segments
- Segment rules and filters
- Journey Builder segment listener
Topic 4: Einstein Capabilities10%- Ingredients and recommendation tuning
- Einstein recipes
Topic 5: Activation18%- Server-side campaigns
- Email and mobile campaigns
- A/B Testing
Topic 6: Sitemap18%- Web SDK implementation
- Content zones
- Catalog and page mapping
- Unified customer profile
Topic 7: Solution Overview16%- Marketing Cloud Personalization fundamentals
- Real-time Interaction Management (RTIM) value and use cases
- Core components and terminology

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q92-Q97):

NEW QUESTION # 92
A brand wants to do an ad-hoc export of a segment. What option could they use?

Answer: D


NEW QUESTION # 93
Which two options are valid use cases for a segment?
Choose 2 answers

Answer: A,D

Explanation:
* Users who purchased a certain value: Segments can identify high-value customers for retention or upsell campaigns.
* Users who abandoned a shopping cart: Segments track users who exhibited intent but did not complete a purchase, enabling re-engagement.


NEW QUESTION # 94
How quickly does interaction studio synthesize and activate date to gauge and respond to an individualae's in-the-moment intent, across channels?

Answer: C


NEW QUESTION # 95
How does a marketer perform an A/B test in Web Campaigns?

Answer: D


NEW QUESTION # 96
What would a marketer include in a Recipe if they don ' t want to display recommendations for products priced less than $15?

Answer: A

Explanation:
To prevent recommendations for products priced under $15 in a Marketing Cloud Personalization recipe, marketers should utilize the Exclusion ingredient. This powerful feature allows for fine-grained control over recommendations by specifying criteria that disqualify certain items from being suggested.
Here ' s how the Exclusion ingredient works:
Defining exclusion criteria: Within the recipe, marketers can define specific criteria that exclude products from the recommendation set. In this case, the exclusion criterion would be " price less than $15. " Filtering recommendations: When the recipe generates recommendations, the Exclusion ingredient filters out any products that meet the defined criteria. This ensures that only products priced $15 or higher are included in the final recommendations.
Flexibility: Exclusions can be based on various product attributes or dimensions, providing flexibility in tailoring recommendations. This allows marketers to create highly targeted recommendations that align with campaign goals and customer preferences.


NEW QUESTION # 97
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