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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Integration | 14% | - Salesforce Connector integration - Data flow management within and outside the platform - ETL feed system implementation - Event API usage and configuration |
| Topic 2: Setup & Administration | 6% | - Identity system configuration - User attributes management - Platform configuration and setup procedures |
| Topic 3: Activation | 18% | - Campaign creation and execution - Campaign optimization and measurement - Mobile and server-side campaigns - A/B testing setup and analysis - Open-time email campaigns |
| Topic 4: Sitemap | 18% | - Content zones configuration - Catalog and page mapping - Unified customer profile building - Sitemap design and best practices - Web SDK implementation |
| Topic 5: Einstein Capabilities | 10% | - Ingredients configuration and application - Einstein recipes overview and usage |
| Topic 6: Segmentation | 18% | - Segment export and integration with Journey Builder - Segment creation and management - Segment rules, filters and goals configuration - Segment performance reporting and analytics |
| Topic 7: 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 # 105
Which campaign type needs to be configured to setup the interaction studio connector for sales and service clouds?
Answer: A
NEW QUESTION # 106
The sitemap provides the functionality that enables IS to identify which three items?
Answer: A,C,D
Explanation:
A sitemap inInteraction Studioenables IS to identify key components on a website for personalization purposes, including:
* Page Types (Answer A):
* Classifies different types of pages (e.g., product pages, category pages).
* Content Zones (Answer B):
* Defines areas of the webpage where personalized content can be displayed.
* Attributes (Answer C):
* Captures metadata about pages and elements, such as product details or user behavior.
References:
* Salesforce Interaction Studio Documentation - Sitemaps
NEW QUESTION # 107
What are three areas a business user can apply custom catalog dimensions?
Answer: A,C,E
Explanation:
In SalesforcePersonalization(formerly Interaction Studio) or other Industry-specific Marketing Cloud extensions, you can configurecustom catalog dimensions(sometimes called "catalogattributes" or
"dimensional data") for products, content, or other catalog objects. Once configured, these additional attributes become available throughout the platform for various use cases.
Below are the three core areas (from the listed options) where a business user can leverage these custom catalog dimensions,along with Salesforce documentation references:
1. Segmentation
* How It Works
* Custom catalog dimensions allow you to define attributes (like product color, brand, or style) and then use these attributes insegment criteria. For example, if you create a dimension called
"Brand," you can build a segment of visitors who have viewed or purchased items where Brand =
X.
* Why This Matters
* By leveraging catalog-driven segments, you can more precisely target audiences based on the items they browse or purchase.
* Salesforce Reference
* Salesforce Help:Segment Builder OverviewExplains how to build segments using catalog attributes (dimensions).
2. Reporting
* How It Works
* Custom catalog dimensions can appear asbreakdownsordimension filtersin certain Personalizationreports and dashboards. For instance, you might see reporting that shows conversion, clicks, or revenue segmented by a custom dimension like "Category" or "Brand".
* Why This Matters
* Analyzing performance metrics by these custom dimensions provides deeper insight into how different attributes perform (e.g., which brand sells best, which category has the highest click- through rate, etc.).
* Salesforce Reference
* Salesforce Help:Analytics and Reporting in PersonalizationIllustrates how catalog dimensions can be used in various analytics views.
3. Recipe Exclusions and Boosting
* How It Works
* Recipes(the rule sets and algorithms that generate personalized recommendations) can use custom dimensions toexcludecertain items orboostothers. For example, you might boost items with Sustainability = "EcoFriendly" or exclude products where Brand = "CompetitorBrand".
* Why This Matters
* This gives merchandisers or marketers fine-grained control over product recommendations, ensuring the right products are shown (or hidden) based on business goals and strategies.
* Salesforce Reference
* Salesforce Help:Recipe Builder OverviewExplains how to create and configure recipes to boost or exclude items using custom catalog dimensions.
NEW QUESTION # 108
What are IS machine learning powered algorithms called?
Answer: A
Explanation:
Einstein Recipesare the machine-learning-powered algorithms used in Interaction Studio (IS) to deliver personalized recommendations.
These recipes allow businesses to customize AI models to align with their specific goals.
Reference: Salesforce Interaction Studio Documentation - Einstein Recipes Overview.
NEW QUESTION # 109
A brand wants to do an ad-hoc export of new user-defined attributes, what option would they choose?
Answer: B
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 # 110
......
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