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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Social Studio | 10% | - Social media publishing and engagement - Social analytics and reporting - Content management and moderation |
| Topic 2: Journey Orchestration | 25% | - Comparison between Datorama and Google Analytics - Reporting and performance analysis - Entry sources and audience evaluation - Activities and decision splits - Journey design and best practices |
| Topic 3: Interaction Studio | 8% | - Real-time interaction management - Personalization and decisioning capabilities - Integration with other Marketing Cloud modules |
| Topic 4: Mobile (SMS/Push) | 13% | - Mobile Studio configuration and usage - MobileConnect features and capabilities - MobilePush tools and functionalities - GroupConnect and WhatsApp integration |
| Topic 5: Einstein for Marketing Cloud | 23% | - AI-powered personalization and prediction - Einstein Copy Insights - Send Time Optimization - Einstein Engagement Scoring - Einstein Engagement Frequency |
| Topic 6: Triggers | 7% | - Event-driven automation - Data extension and trigger management - SOAP and REST API triggers |
| Topic 7: Ad Studio | 12% | - Integration with advertising platforms - Campaign management and optimization - Audience targeting and segmentation |
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NEW QUESTION # 77
Select features Einstein content selection, Select 2
Answer: A,B
Explanation:
Einstein Content Selection Key Features:
* A. Uses open time email content:This is a core aspect of Einstein Content Selection. It selects and inserts content into emailsat the time the subscriber opens the email, rather than at the time of send.
This allows for highly personalized and up-to-date content.
* B. Content selection based on business rules:You can define business rules within Einstein Content Selection to control how content is selected. This includes things like:
* Fallback Rules:Specifying default content to use if no personalized content is available.
* Exclusion/Fatigue Rules:Preventing certain content from being shown too frequently or to specific segments.
* Attribute Matching Rules:Matching content assets to subscriber profiles based on attributes (e.
g., showing women's clothing to subscribers identified as female).
Why A and B Are Correct:
* Open-Time Personalization:Einstein Content Selection is designed for dynamic, open-time content personalization.
* Business Rules Control:Business rules are essential for ensuring that Einstein Content Selection aligns with your marketing strategy and goals.
NEW QUESTION # 78
When are customers eligible to be send a message in STO(when customer will engage then its sent)
Answer: D
Explanation:
Understanding Send Time Optimization (STO):
* Purpose:STO is a Marketing Cloud feature that uses AI to determine the optimal time to send an email to each individual subscriber, maximizing the likelihood of engagement.
* How it Works:STO analyzes a subscriber's historical engagement data (when they typically open and click emails) to predict the best send time within a 24-hour window.
STO Send Time Logic:
* Prediction Window:STO predicts the hour within the next 24 hours when a subscriber is most likely to engage.
* Send at Predicted Hour:The email is sent during that predicted hour.
* It's not immediate:STO doesn't send emails immediately upon entering the activity. It waits for the predicted optimal hour.
* It's not within the first minute of the next hour:STO determines a specific hour, not just the start of the next hour.
* It's not necessarily within the next hour:The predicted hour could be several hours away, depending on the subscriber's engagement history.
NEW QUESTION # 79
How does Marketing cloud connect help when you want to trigger journey when a record is created in sales cloud contact, Select 2.
Answer: A,C
NEW QUESTION # 80
Which channel solution is managed by the sitemap in Interaction Studio?
Answer: A
NEW QUESTION # 81
Which three factors are analyzed for each subject line by Einstein Copy Insights?
Answer: A,B,C
NEW QUESTION # 82
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