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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Audience Management | 20% | - Create and use filters and audiences in campaigns - Implement real-time audience segmentation - Build and manage segments and audiences - Use affinity and behavioral data for targeting - Configure rules-based and predictive audiences |
| Topic 2: Product Overview | 7% | - Describe how Marketing Cloud Personalization integrates with other Marketing Cloud products - Identify use cases for Marketing Cloud Personalization - Explain the core concepts and value of the platform |
| Topic 3: Campaigns & Experiences | 28% | - 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 4: Data Model & Configuration | 20% | - Set up user profiles and visitor identification - Implement event data collection and tracking - Configure data ingestion methods (API, SDK, integrations) - Configure business logic elements (Objects, Attributes, Catalog) - Manage dataset settings and configurations |
| Topic 5: Administration & Governance | 12% | - Configure system settings and preferences - Manage user roles and permissions - Implement security and data privacy controls - Manage API access and integrations |
| Topic 6: Reporting & Analytics | 13% | - Analyze campaign effectiveness metrics - Interpret campaign performance reports - Use built-in dashboards and analytics tools - Configure conversion tracking |
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NEW QUESTION # 35
What are Marketing Cloud Personalization's machine learning powered algorithms called?
Answer: C
NEW QUESTION # 36
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 # 37
A customer service representative for a bank is on the phone with a prospect and wants to promote the next best offer based on digital behaviour. How would they accomplish this in service cloud?
Answer: A
Explanation:
Interaction Studio integrates with Service Cloud to provide agents with aNext Best Offer widget. This widget leverages real-time behavioral data and machine learning to surface personalized offers.
Reference: Salesforce Interaction Studio and Service Cloud Integration Documentation.
NEW QUESTION # 38
How often does interaction studio poll the sftp for new files for ingestion?
Answer: B
Explanation:
Interaction Studio checks the designated SFTP server every 15 minutes for new files to ingest. This ensures relatively up-to-date data is available for personalization and other functionalities within the platform.
NEW QUESTION # 39
Which three components of a server side campaign can be defined by a business user?
Answer: A,C,E
Explanation:
In aserver-side campaignwithin Interaction Studio, business users can define:
* Promoted Content (Answer C):
* Content that should be prioritized or highlighted in recommendations or experiences.
* Experience Rules (Answer D):
* Rules governing the personalization logic, such as conditions for content display or user targeting.
* User Attributes (Answer E):
* Attributes that define user characteristics, enabling personalized interactions based on user profiles.
References:
* Salesforce Interaction Studio Documentation - Campaign Management
NEW QUESTION # 40
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