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Salesforce AP-214 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Interaction Studio8%- Integration with other Marketing Cloud modules
- Personalization and decisioning capabilities
- Real-time interaction management
Topic 2: Triggers7%- SOAP and REST API triggers
- Event-driven automation
- Data extension and trigger management
Topic 3: Journey Orchestration25%- Reporting and performance analysis
- Comparison between Datorama and Google Analytics
- Journey design and best practices
- Activities and decision splits
- Entry sources and audience evaluation
Topic 4: Ad Studio12%- Audience targeting and segmentation
- Campaign management and optimization
- Integration with advertising platforms
Topic 5: Einstein for Marketing Cloud23%- Einstein Engagement Frequency
- Einstein Copy Insights
- Send Time Optimization
- AI-powered personalization and prediction
- Einstein Engagement Scoring
Topic 6: Social Studio10%- Social media publishing and engagement
- Content management and moderation
- Social analytics and reporting
Topic 7: Mobile (SMS/Push)13%- Mobile Studio configuration and usage
- MobilePush tools and functionalities
- MobileConnect features and capabilities
- GroupConnect and WhatsApp integration

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Salesforce Marketing Cloud Advanced Cross Channel Accredited Professional Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which keywords does MobileConnect automatically recognize as STOP keywords?

Answer: B


NEW QUESTION # 54
Which two statements are true when using Journey Data and Contact Data within Journey Builder?

Answer: A,B


NEW QUESTION # 55
What does Priority in an in App message determine?

Answer: A


NEW QUESTION # 56
What is true about Einstein engagement frequency (EEF). Select 3

Answer: A,B,D

Explanation:
Understanding Einstein Engagement Frequency (EEF):
Purpose: EEF is a Marketing Cloud Einstein feature that helps optimize email send frequency for each subscriber. It aims to reduce unsubscribes and improve engagement by sending the right number of emails to each person.
How it Works: EEF analyzes historical engagement data (opens, clicks, etc.) to predict the optimal send frequency for each subscriber.
Correct Statements:
A: EEF uses only commercial send data not transactional: EEF focuses on optimizing marketing email frequency. Transactional emails (order confirmations, password resets) are typically triggered by specific events and are not part of EEF's optimization.
B: The model uses data available only in your account: EEF's predictions are based on the engagement data within your specific Marketing Cloud account. It doesn't use data from other accounts or external sources.
C: Used to determine the correct no of mails to be sent so that there are fewer unsubscribes due to email fatigue: This is the core purpose of EEF. It aims to find the "sweet spot" for each subscriber - enough emails to keep them engaged, but not so many that they unsubscribe due to email fatigue.
Incorrect Statement:
D: It uses the last 90 days of engagement data: EEF uses the last 28 days of engagement data, not 90.
In Summary:
EEF uses your account's commercial email send data from the last 28 days to determine the optimal email frequency for each subscriber, reducing unsubscribes. A, B, and C are correct.


NEW QUESTION # 57
How can Distributed Marketing messages be configured to use approval workflows?

Answer: C


NEW QUESTION # 58
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