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| Section | Weight | Objectives |
|---|---|---|
| Data Integration | 14% | - ETL feed system - Event API - Salesforce Connector - Data flows in and out of the system |
| Sitemap | 18% | - Unified customer profile - Overview and best practices - Content zones - Web SDK implementation - Catalog and page mapping |
| Setup & Administration | 6% | - User attributes management - Identity system configuration - Initial setup process |
| Einstein Capabilities | 10% | - Recipe ingredients - Einstein recipes |
| Solution Overview | 16% | - Definition of Marketing Cloud Personalization - Product terminology - Core components of standard implementation - Typical use cases - Business value of real-time interaction management |
| Activation | 18% | - Personalization campaigns - Delivery channels - Content creation and management - Campaign testing and optimization |
| Segmentation | 18% | - Reporting and analytics - Filters and goals - Segment rules - Segment export - Segment overview - Journey Builder segment listener |
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NEW QUESTION # 61
What are the three types of ingredients available for a recipe?
Answer: B,C,D
Explanation:
Within the context of Salesforce Marketing Cloud ' s Interaction Studio (formerly Evergage), " recipes " are pre-built configurations for personalized recommendations. These recipes utilize different types of " ingredients " to determine which items to recommend. Let ' s break down the correct options:
A). Catalog-based and Trending
Verified: This is a type of ingredient used in Interaction Studio recipes.
Catalog-based: This ingredient leverages data from your product or content catalog. It can recommend items based on various catalog attributes like:
Category: Recommending items from the same or related categories as items the user has viewed or interacted with.
Attributes: Recommending items that share specific attributes (e.g., color, brand, size) with items the user has shown interest in.
Keywords: Recommending items whose descriptions or metadata match keywords derived from user behavior.
Trending: This ingredient considers the overall popularity or trending status of items within your catalog, often within a specific timeframe (e.g., " Trending in the last 7 days " ).
Salesforce Marketing Cloud References:
Interaction Studio Recipes: The Interaction Studio documentation describes the various recipe types and the ingredients they use.
B). Recommendations
Verified: This is a broad category encompassing ingredients that generate recommendations based on various algorithms.
Recommendation Algorithms: Interaction Studio employs different algorithms to generate recommendations, including:
Collaborative Filtering: Recommending items that similar users have liked or interacted with.
Content-Based Filtering: Recommending items that are similar in content or attributes to items the user has shown interest in.
User Affinity: Recommending items based on the user ' s overall affinity for particular categories, brands, or attributes, calculated from their historical interactions.
Note: " Recommendations " is a more general term. Specific recommendation ingredients might have names like " User-to-Item Affinity, " " Item-to-Item Similarity, " or use algorithm names directly.
C). Co-Occurrence
Verified: This is a specific type of recommendation ingredient that focuses on items frequently viewed or purchased together.
Co-occurrence Logic: This ingredient identifies items that are often viewed or purchased in the same session or within a short timeframe. It suggests that if a user is interested in item A, they are also likely to be interested in item B because other users have frequently interacted with both items together.
Examples:
" Customers who bought this item also bought... "
" Frequently viewed together "
NEW QUESTION # 62
How does a marketer perform an A/B test in Web Campaigns?
Answer: B
Explanation:
In web campaigns, anA/B testis performed by creating multiple experiences. Each experience represents a variation of the content or layout, and Interaction Studio compares their performance based on predefined metrics.
Reference: Salesforce Interaction Studio A/B Testing in Web Campaigns Guide.
NEW QUESTION # 63
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: C
NEW QUESTION # 64
A brand wants to do an ad-hoc export of a segment. What option could they use?
Answer: B
Explanation:
Interaction Studio provides anexport segment functionality via CSV formatfor ad-hoc segment exports.
This method is straightforward and widely compatible for analysis or further processing.
Reference: Salesforce Interaction Studio Segment Export Documentation.
NEW QUESTION # 65
A business user wants to test the effectiveness of two CTA options, which testing option should the select?
Answer: A
Explanation:
To test the effectiveness of two CTA options:
* UseA/B Testingto compare the performance of the options across a defined audience.
* Metrics such as click-through rates (CTR) and conversions are used to determine the winner.
References:
* Salesforce Interaction Studio Documentation - A/B Testing
NEW QUESTION # 66
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