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| Section | Weight | Objectives |
|---|---|---|
| Einstein Capabilities | 10% | - Recipe ingredients - Einstein recipes |
| Activation | 18% | - Campaign testing and optimization - Content creation and management - Delivery channels - Personalization campaigns |
| Sitemap | 18% | - Catalog and page mapping - Unified customer profile - Web SDK implementation - Content zones - Overview and best practices |
| Segmentation | 18% | - Journey Builder segment listener - Segment export - Segment overview - Filters and goals - Reporting and analytics - Segment rules |
| Data Integration | 14% | - Salesforce Connector - Event API - Data flows in and out of the system - ETL feed system |
| Setup & Administration | 6% | - User attributes management - Initial setup process - Identity system configuration |
| Solution Overview | 16% | - Definition of Marketing Cloud Personalization - Product terminology - Business value of real-time interaction management - Core components of standard implementation - Typical use cases |
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NEW QUESTION # 26
What are the two main functions of the Event API? (select 2)
Answer: C,D
Explanation:
TheEvent APIin Salesforce Interaction Studio serves two main purposes:
* Capture User Attributes and Actions (A):
* It records user behavior, actions, and attributes in real time. This data is crucial for building user profiles, creating segments, and driving personalization.
* Return Campaign Responses (C):
* The Event API can retrieve and deliver responses for campaigns, such as personalized content or recommendations, to be displayed on a web page or application.
NEW QUESTION # 27
When does site mapping happen during the implementation process?
Answer: A
NEW QUESTION # 28
What are Marketing Cloud Personalization's machine learning powered algorithms called?
Answer: A
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 # 29
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.
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 # 30
What is the interaction studio terminology for the collection of products and content as well as related categories and tags - such as brand, gender, style, keyword and author?
Answer: B
NEW QUESTION # 31
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