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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Campaigns and Experiences | 24% | - Configure audience targeting and segmentation - Create and test campaign variations - Implement decision logic and rules - Set up triggers and response handling - Create and manage campaigns - Build experiences using drag-and-drop editor |
| Topic 2: Overview and Key Concepts | 12% | - Define Marketing Cloud Personalization - Explain the difference between Real-Time and Batch modes - Describe the platform architecture and components - Identify use cases for Marketing Cloud Personalization |
| Topic 3: Audience Management | 16% | - Implement catalog-based recommendations - Create and manage segments - Build audience criteria and filters - Use profile attributes and engagement scoring - Configure dynamic audience membership |
| Topic 4: Implementation and Configuration | 16% | - Set up and configure the Web Media Manager - Configure user and visitor authentication - Configure campaign areas and zones - Set up data collection and event processing - Implement JavaScript beacon and tag management |
| Topic 5: Administration and Governance | 20% | - Configure system settings and preferences - Manage integrations with Marketing Cloud - Manage user roles and permissions - Implement data governance policies - Understand compliance and security considerations - Monitor system health and troubleshooting |
| Topic 6: Reporting and Analytics | 12% | - Create and customize reports - Navigate and use the Reports dashboard - Analyze campaign performance metrics - Interpret engagement and conversion data |
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NEW QUESTION # 75
What would a marketer include if they want to ensure they display recommendations from more than one category?
Answer: A
Explanation:
To ensure recommendations are displayed frommore than one categoryin a recipe:
* Include aVariation, which allows diversification of recommendations across categories to avoid redundancy and improve user experience.
References:
* Salesforce Interaction Studio Documentation - Recipe Variations
NEW QUESTION # 76
A marketer would like to display the most common products purchased by previous buyers along with the main item on a product page, which ingredient would they need to use in the recipe?
Answer: B
Explanation:
* TheCo-Buyingredient in a recipe identifies and displays products commonly purchased together.
* On a product page, it can recommend complementary items based on the main product being viewed.
References:
* Salesforce Interaction Studio Documentation - Recipes and Ingredients
NEW QUESTION # 77
What are three ways segments are used in marketing cloud personalization?
Answer: A,C,D
Explanation:
* Recommending Products: Segments enable personalized recommendations based on user behavior and preferences.
* Targeting for Campaigns: Segments define audiences for specific campaigns, ensuring relevance and higher engagement.
* Analytics, Trends, and Engagement: Segments provide insights into user behavior, enabling trend analysis and engagement tracking.
NEW QUESTION # 78
What are Marketing Cloud Personalization's machine learning powered algorithms called?
Answer: C
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 # 79
What are the two competitive advantages of interaction studio? [check]
Answer: A,C
Explanation:
* Monitors Active Time Spent and True Engagement: Interaction Studio measures meaningful user engagement, focusing on active time spent rather than passive metrics.
* True Real-Time Decisioning: The platform processes data in real-time to provide instant, personalized decisions based on user interactions.
NEW QUESTION # 80
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