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| Section | Weight | Objectives |
|---|---|---|
| Sitemap | 18% | - Catalog and page mapping - Unified customer profile building - Sitemap design and best practices - Web SDK implementation - Content zones configuration |
| Segmentation | 18% | - Segment creation and management - Segment performance reporting and analytics - Segment rules, filters and goals configuration - Segment export and integration with Journey Builder |
| Activation | 18% | - Open-time email campaigns - Mobile and server-side campaigns - Campaign optimization and measurement - A/B testing setup and analysis - Campaign creation and execution |
| Setup & Administration | 6% | - User attributes management - Platform configuration and setup procedures - Identity system configuration |
| Data Integration | 14% | - ETL feed system implementation - Data flow management within and outside the platform - Event API usage and configuration - Salesforce Connector integration |
| Einstein Capabilities | 10% | - Ingredients configuration and application - Einstein recipes overview and usage |
| Solution Overview | 16% | - Definition and business value of Marketing Cloud Personalization - Real-time interaction management use cases - Product terminology and core implementation components |
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NEW QUESTION # 106
A brand wants to do an ad-hoc export of new user-defined attributes, what option would they choose?
Answer: C
Explanation:
To export newly created user-defined attributes, the option toinclude all custom fields on a segment export ensures that all relevant data is included in the export. This facilitates detailed analysis and further integration.
Reference: Salesforce Interaction Studio Segment Export Documentation.
NEW QUESTION # 107
Which development language is used to code the sitemap?
Answer: C
Explanation:
Javascriptis used to code the sitemap in Interaction Studio, enabling seamless tracking and interaction mapping. It allows integration with the Web SDK for personalization and data collection.
Reference: Salesforce Interaction Studio Web SDK and Sitemap Coding Guide.
NEW QUESTION # 108
When should you define goals and filters?
Answer: B
Explanation:
Goals and filters should be definedbefore launching a campaignto ensure that the necessary metrics and criteria are set up for proper evaluation of campaign performance.
This proactive setup allows businesses to measure specific objectives and segment behaviors accurately from the start.
Reference: Salesforce Interaction Studio Documentation - Setting Up Goals and Filters.
NEW QUESTION # 109
What are the three types of ingredients available for a recipe?
Answer: C,D,E
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.
* 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"
NEW QUESTION # 110
What are two ways to populate the interaction studio catalog? [check]
Answer: A,B
Explanation:
Two ways to populate the Interaction Studio catalog are:
* ETL Feed (Answer A):
* Uses scheduled file uploads to update catalog data, including product or content details.
* Web SDK (Answer C):
* Automatically captures catalog data from a website during user interactions.
References:
* Salesforce Interaction Studio Documentation - Catalog Management
NEW QUESTION # 111
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