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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Overview | 16% | - Real-time Interaction Management (RTIM) value and use cases - Marketing Cloud Personalization fundamentals - Core components and terminology |
| Topic 2: Activation | 18% | - A/B Testing - Server-side campaigns - Email and mobile campaigns |
| Topic 3: Data Integration | 14% | - Data flows in and out of Marketing Cloud Personalization - Event API - ETL feed system - Salesforce Connector |
| Topic 4: Setup & Administration | 6% | - Initial platform setup - User attributes and identity system |
| Topic 5: Sitemap | 18% | - Content zones - Web SDK implementation - Catalog and page mapping - Unified customer profile |
| Topic 6: Einstein Capabilities | 10% | - Ingredients and recommendation tuning - Einstein recipes |
| Topic 7: Segmentation | 18% | - Export segments - Journey Builder segment listener - Goals and reporting - Segment rules and filters |
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NEW QUESTION # 25
Where can a developer access pre-built Global Templates?
Answer: B
NEW QUESTION # 26
What are IS machine learning powered algorithms called?
Answer: D
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 # 27
Which two options are valid use cases for a segment?
Choose 2 answers
Answer: B,C
Explanation:
* Users who purchased a certain value: Segments can identify high-value customers for retention or upsell campaigns.
* Users who abandoned a shopping cart: Segments track users who exhibited intent but did not complete a purchase, enabling re-engagement.
NEW QUESTION # 28
What two features of Marketing Cloud Personalization have functionality to perform an A/B Test?
Answer: B,D
Explanation:
A/B testing in Marketing Cloud Personalization allows marketers to compare different versions of content or experiences to determine which performs best. This optimization technique is primarily facilitated through these two features:
* A. Campaigns:Within the campaign creation process, you can define multiple experiencesand allocate traffic percentages to each. This allows you to test different variations of content, messaging, or offers to see which resonates most effectively with your audience. You can then analyze the results to determine which experience drives the highest engagement, conversions, or other desired outcomes.
* D. Templates:Templates define the structure and content of personalized experiences. By creating multiple versions of a template with variations in layout, messaging, or calls to action, you can A/B test different design approaches. This helps identify the most effective way to present information and encourage user interaction
NEW QUESTION # 29
What two features of interaction studio have functionality to perform an A/B testing?
Answer: B,D
Explanation:
Interaction Studio (now branded as Marketing Cloud Personalization) supports A/B testing through specific features. Below is a detailed breakdown:
1. Campaigns
Campaigns in Interaction Studio are the central component for personalizing experiences and are inherently designed to support A/B testing. You can test different campaign variations (content, offers, or design) to understand what resonates best with your audience.
How to perform A/B Testing in Campaigns:
Navigate to the Campaigns tab within Interaction Studio.
Create or select a campaign you wish to test.
Define multiple variants (A, B, etc.) by tweaking the content, layout, or rules for each.
Set up test parameters such as traffic distribution (e.g., 50% audience for A, 50% for B).
Launch the campaign and monitor performance through reports/metrics like click-through rate (CTR) and conversions.
Documentation Reference: Salesforce Documentation on Campaigns.
2. Templates
Templates are pre-defined content structures in Interaction Studio used for personalized experiences. These templates also support A/B testing, allowing marketers to assess variations in presentation, design, or content to maximize impact.
How to perform A/B Testing in Templates:
Select or create a new template under the Templates section.
Customize template versions for A/B testing (e.g., variation in banners, headlines, or product placements).
Pair templates with a campaign to distribute the audience for testing.
Analyze test results and iterate based on performance metrics.
Documentation Reference: Salesforce Documentation on Templates.
Why Other Options Are Not Correct:
C). Segments:
Segments are used to define audience groups for targeting but do not inherently support A/B testing functionality. Segments are more about grouping audiences based on behaviors, demographics, or attributes rather than testing variations.
Reference: Segments Overview.
D). Recipes:
Recipes are algorithms for product or content recommendations. While they personalize based on predictive data, they are not explicitly designed for A/B testing.
Reference: Recipes Overview.
NEW QUESTION # 30
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