Test Marketing-Cloud-Personalization Questions | Marketing-Cloud-Personalization Exam Dumps

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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Model & Configuration20%- Manage dataset settings and configurations
- Set up user profiles and visitor identification
- Configure data ingestion methods (API, SDK, integrations)
- Implement event data collection and tracking
- Configure business logic elements (Objects, Attributes, Catalog)
Topic 2: Campaigns & Experiences28%- Configure personalization through decision logic
- Implement campaign triggers and targeting rules
- Set up A/B testing and multivariate testing
- Use templates and creative assets
- Build and configure web campaigns and experiences
- Create and manage in-app and mobile experiences
Topic 3: Reporting & Analytics13%- Use built-in dashboards and analytics tools
- Configure conversion tracking
- Analyze campaign effectiveness metrics
- Interpret campaign performance reports
Topic 4: Product Overview7%- Identify use cases for Marketing Cloud Personalization
- Describe how Marketing Cloud Personalization integrates with other Marketing Cloud products
- Explain the core concepts and value of the platform
Topic 5: Audience Management20%- Build and manage segments and audiences
- Use affinity and behavioral data for targeting
- Create and use filters and audiences in campaigns
- Implement real-time audience segmentation
- Configure rules-based and predictive audiences
Topic 6: Administration & Governance12%- Configure system settings and preferences
- Implement security and data privacy controls
- Manage API access and integrations
- Manage user roles and permissions

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

NEW QUESTION # 48
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: A


NEW QUESTION # 49
A brand's website is seeing high traffic, but much of the behavior is anonymous. How does Marketing Cloud Personalization identities?

Answer: B

Explanation:
Marketing Cloud Personalization usesprobabilistic matchingtechniques to unify anonymous and known identities.
* It evaluates behavioral patterns, device data, and other signals to determine if multiple profiles belong to the same user.
* Once sufficient data overlap is identified, profiles are merged for personalized interactions.
References:
* Salesforce Interaction Studio Documentation - Identity Matching


NEW QUESTION # 50
What three components are defined by the developer in the Sitemap?

Answer: A,D,E


NEW QUESTION # 51
Which two success metrics can a company achieve with Marketing Cloud Personalization on their web channel?

Answer: B,D


NEW QUESTION # 52
Which ingredient shows a visitor products or content based on a 'people like me' algorithm?

Answer: A

Explanation:
TheCollaborative Filteringingredient uses a "people like me" algorithm to recommend products or content based on the behavior of similar users.
Reference: Salesforce Interaction Studio Recipe Ingredients Documentation.


NEW QUESTION # 53
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