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| Section | Objectives |
|---|---|
| Marketing Cloud Personalization Fundamentals | - Platform architecture and components - Core concepts of personalization |
| Data and Audience Management | - Segmentation and audience building - Data collection and ingestion |
| Measurement and Optimization | - Reporting and analytics - Performance optimization strategies |
| Personalization and Campaign Execution | - Experience and content personalization - Campaign setup and delivery |
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질문 # 47
Which entry source event type needs to be configured for a journey to be used in the segment join to journey builder feature?
정답：B
설명：
To enable thesegment join to Journey Builderfeature in Interaction Studio:
* TheAudience entry source event typemust be configured.
* This allows segments created in Interaction Studio to be synchronized with Journey Builder, triggering journeys based on segment membership.
References:
* Salesforce Interaction Studio Documentation - Journey Integration
질문 # 48
How many total global goals and filters can you define for your dataset in IS?
정답：B
설명：
* Interaction Studio allows you to define a maximum of64 global filters and goals combinedper dataset.
* These filters and goals help refine data views and track performance based on specific criteria or objectives.
References:
* Salesforce Interaction Studio Documentation - Filters and Goals Limits
질문 # 49
What would a marketer include in a Recipe if they don't want to display recommendations for products priced less than $15?
정답：D
설명：
To prevent recommendations for products priced under $15 in a Marketing Cloud Personalization recipe, marketers should utilize theExclusioningredient. 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.
질문 # 50
What are the three types of ingredients available for a recipe?
정답：B,D,E
설명：
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.
* Explanation:
* 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.
* Explanation:
* 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.
* Explanation:
* 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"
질문 # 51
What are the components of an interaction studio web campaign? [check]
정답：D
설명：
The components of a web campaign in Interaction Studio are:
* Experience:
* Defines the overall structure of the web campaign, including triggers and personalization rules.
* Template:
* Templates control the layout and look of the personalized content in the campaign.
* Content Zone:
* These are placeholders or regions within the webpage where dynamic content is displayed.
Together, these elements provide a framework to deliver targeted and personalized web experiences.
References:
* Salesforce Interaction Studio Documentation - Web Campaigns
질문 # 52
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