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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Setup & Administration6%- User attributes management
- Initial setup process
- Identity system configuration
Topic 2: Data Integration14%- Data flows in and out of the system
- Event API
- ETL feed system
- Salesforce Connector
Topic 3: Sitemap18%- Catalog and page mapping
- Content zones
- Overview and best practices
- Web SDK implementation
- Unified customer profile
Topic 4: Einstein Capabilities10%- Einstein recipes
- Recipe ingredients
Topic 5: Activation18%- Personalization campaigns
- Delivery channels
- Campaign testing and optimization
- Content creation and management
Topic 6: Segmentation18%- Segment export
- Journey Builder segment listener
- Filters and goals
- Reporting and analytics
- Segment rules
- Segment overview
Topic 7: Solution Overview16%- Typical use cases
- Definition of Marketing Cloud Personalization
- Core components of standard implementation
- Business value of real-time interaction management
- Product terminology

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q48-Q53):

NEW QUESTION # 48
What are Marketing Cloud Personalization's machine learning powered algorithms called?

Answer: D

Explanation:
Marketing Cloud Personalization'smachine learning-powered algorithmsare referred to asEinstein Recipes.
* They enable personalized recommendations and decisions by combining machine learning models with business logic.
* Marketers can customize these recipes to optimize recommendations based on specific use cases.
References:
* Salesforce Interaction Studio Documentation - Einstein Recipes


NEW QUESTION # 49
What are the three primary areas of data stored in IS which represent a company's key business informative?

Answer: B,C,E


NEW QUESTION # 50
What three things does a developer code in web template?

Answer: C,E


NEW QUESTION # 51
Which two options are valid use cases for a segment?
Choose 2 answers

Answer: C,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.
Salesforce Interaction Studio Segment Use Cases Documentation.
Segments in Marketing Cloud Personalization are powerful tools for grouping users based on shared characteristics or behaviors. Here ' s why options B and D are valid use cases:
B). Identifying users who have purchased a certain value in a specified time period: This is a classic example of using segments for customer segmentation and analysis. By creating a segment based on purchase history, you can identify high-value customers, track their spending patterns, and tailor marketing efforts accordingly.
This enables targeted promotions, loyalty programs, and personalized recommendations.
D). Identifying users who abandoned a shopping cart today: This is a common use case for segments in behavioral targeting. By identifying users who abandoned their carts, you can trigger personalized emails or on-site messages to re-engage them and encourage them to complete their purchase. This can significantly improve conversion rates and reduce cart abandonment.


NEW QUESTION # 52
A business user created a segment to track everyone that has looked at the homepage today. How long does it take for a web visitor to join the segment after viewing the homepage?

Answer: D


NEW QUESTION # 53
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