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| Section | Weight | Objectives |
|---|---|---|
| Audience Management | 20% | - Create and use filters and audiences in campaigns - Configure rules-based and predictive audiences - Implement real-time audience segmentation - Use affinity and behavioral data for targeting - Build and manage segments and audiences |
| Reporting & Analytics | 13% | - Interpret campaign performance reports - Configure conversion tracking - Analyze campaign effectiveness metrics - Use built-in dashboards and analytics tools |
| Data Model & Configuration | 20% | - Implement event data collection and tracking - Configure data ingestion methods (API, SDK, integrations) - Set up user profiles and visitor identification - Manage dataset settings and configurations - Configure business logic elements (Objects, Attributes, Catalog) |
| Administration & Governance | 12% | - Manage user roles and permissions - Manage API access and integrations - Implement security and data privacy controls - Configure system settings and preferences |
| Product Overview | 7% | - Describe how Marketing Cloud Personalization integrates with other Marketing Cloud products - Identify use cases for Marketing Cloud Personalization - Explain the core concepts and value of the platform |
| Campaigns & Experiences | 28% | - Create and manage in-app and mobile experiences - Set up A/B testing and multivariate testing - Use templates and creative assets - Build and configure web campaigns and experiences - Implement campaign triggers and targeting rules - Configure personalization through decision logic |
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NEW QUESTION # 19
What are the two main functions of the Event API? (select 2)
Answer: A,D
NEW QUESTION # 20
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 # 21
What two fields can a web developer specify for defining a Content Zone?
Choose 2 answers
Answer: C,D
Explanation:
* The CSS selector of the DOM element (Answer A):
* Identifies the exact HTML element on the page where the content will render.
* The name of the Content Zone (Answer D):
* Provides a unique identifier for the zone, used in campaign setup and tracking.
References:
* Salesforce Marketing Cloud Documentation - Defining Content Zones
NEW QUESTION # 22
Which role would the admin assign a user if they need to view everything in interaction studio and create, update, publish and delete campaigns and recipes?
Answer: D
Explanation:
TheEditorrole in Interaction Studio provides permissions to view, create, update, publish, and delete campaigns and recipes.
This role is ideal for users who require comprehensive access to manage campaigns and AI-powered personalization.
InSalesforce Marketing Cloud Personalization (Interaction Studio), theEditorrole provides the necessary permissions to:
* View all data and activities within Interaction Studio.
* Create, update, publish, and delete campaigns.
* Manage and edit recipes and other configuration elements.
This role is ideal for users who need comprehensive access for both viewing and managing campaigns and recipes.
Reference: Salesforce Interaction Studio Roles and Permissions Documentation.
NEW QUESTION # 23
Which data feed integrates external system data into a user ' s profile leveraging identity attributes?
Answer: B
Explanation:
In Marketing Cloud Personalization, the User Feed is specifically designed to integrate external system data into user profiles by leveraging identity attributes. This allows businesses to enrich user profiles with valuable information from various sources, such as CRM systems, loyalty programs, or other marketing platforms.
Here ' s how the User Feed works:
Identity resolution: The User Feed utilizes identity attributes, such as email addresses, customer IDs, or loyalty numbers, to match incoming data with existing user profiles in Marketing Cloud Personalization. This ensures that data is accurately associated with the correct individuals.
Data enrichment: Once a match is found, the User Feed appends the incoming data to the user ' s profile. This can include a wide range of attributes, such as demographics, purchase history, preferences, loyalty status, or any other relevant information from the external system.
Enhanced personalization: By enriching user profiles with data from various sources, the User Feed enables more granular segmentation, targeted campaigns, and personalized recommendations. This leads to a more relevant and engaging customer experience.
NEW QUESTION # 24
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