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| Section | Weight | Objectives |
|---|---|---|
| Einstein Capabilities | 10% | - Einstein recipes overview and usage - Ingredients configuration and application |
| Setup & Administration | 6% | - Identity system configuration - User attributes management - Platform configuration and setup procedures |
| Segmentation | 18% | - Segment creation and management - Segment rules, filters and goals configuration - Segment performance reporting and analytics - Segment export and integration with Journey Builder |
| Activation | 18% | - Campaign optimization and measurement - Open-time email campaigns - Campaign creation and execution - A/B testing setup and analysis - Mobile and server-side campaigns |
| Data Integration | 14% | - Salesforce Connector integration - ETL feed system implementation - Event API usage and configuration - Data flow management within and outside the platform |
| Sitemap | 18% | - Sitemap design and best practices - Content zones configuration - Unified customer profile building - Web SDK implementation - Catalog and page mapping |
| Solution Overview | 16% | - Real-time interaction management use cases - Definition and business value of Marketing Cloud Personalization - Product terminology and core implementation components |
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NEW QUESTION # 113
Which feature allows a business user to overlay campaign creation and editing directly on their website?
Answer: A
Explanation:
TheVisual Editorin Interaction Studio allows business users to create and edit campaigns directly on their website using a simple overlay interface.
This feature enables non-technical users to manage personalization and campaigns without needing coding skills.
Reference: Salesforce Interaction Studio Documentation - Visual Editor Overview.
NEW QUESTION # 114
What is the salesforce point of view for end to end flow of data for real-time personalization within interaction studio? [Check]
Answer: C
Explanation:
The Salesforce point of view for real-time personalization within Interaction Studio focuses on:
* Identify:
* Capturing user data and behavior from various touchpoints.
* Understand:
* Analyzing collected data to derive insights about preferences, interests, and intent.
* Decide:
* Using machine learning and AI to determine the most relevant personalization actions.
* Act:
* Delivering personalized content or experiences in real-time.
* Analyse:
* Monitoring and evaluating campaign performance to optimize outcomes.
References:
* Salesforce Interaction Studio Documentation - Real-Time Personalization Flow
NEW QUESTION # 115
Which data feed integrates external system data into a user's profile leveraging identity attributes?
Answer: D
Explanation:
In Marketing Cloud Personalization, theUser Feedis 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 # 116
Which ingredient shows a vistor products or content based on a "people like me" algorithm?
Answer: A
Explanation:
* TheCollaborative Filteringingredient uses a "people like me" algorithm to suggest products or content based on the behaviors of other users with similar preferences or actions.
* It identifies patterns among groups of users to provide tailored recommendations.
References:
* Salesforce Interaction Studio Documentation - Ingredients in Recipes
NEW QUESTION # 117
Which three components of a recipe are optional when configuring a new algorithm?
Answer: A,B,E
Explanation:
When configuring a new recipe algorithm, the following components are optional:
* Boosters (Answer D):
* Allows prioritizing specific items based on business goals, such as promoting higher-margin products.
* Exclusions (Answer E):
* Filters out certain items or categories from being recommended.
* Variation (Answer C):
* Enables A/B testing by creating multiple variations of a recipe to optimize performance.
References:
* Salesforce Interaction Studio Documentation - Recipe Configuration
NEW QUESTION # 118
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