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Salesforce Advanced-Cross-Channel Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cross-Channel Marketing Strategies and Tactics- Multi-touch attribution
- Channel selection
- Campaign planning
Topic 2: Interaction Studio
Topic 3: Triggers
Topic 4: Integrating and Optimizing Marketing Campaigns Across Channels- Campaign automation
- Data synchronization
- API integrations
Topic 5: Social Studio
Topic 6: Measuring and Reporting on Cross-Channel Marketing Performance- Dashboarding
- Data visualization
- KPI selection
Topic 7: Leveraging Customer Data and Analytics for Personalization- Data management
- Predictive modeling
- Segmentation
Topic 8: Journey Orchestration
Topic 9: Distributed Marketing
Topic 10: Einstein for Marketing Cloud22.5%
Topic 11: Aligning Cross-Channel Marketing with Business Objectives- Change management
- Stakeholder management
- Goal setting
Topic 12: Mobile (SMS/Push)
Topic 13: Ad Studio

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Salesforce Advanced Cross Channel Accredited Professional Sample Questions (Q82-Q87):

NEW QUESTION # 82
How frequently does Einstein Engagement Scoring updates to email?

Answer: B


NEW QUESTION # 83
How does Marketing cloud connect help when you want to trigger journey when a record is created in sales cloud contact, Select 2.

Answer: B,C


NEW QUESTION # 84
What is true about Einstein engagement frequency (EEF). Select 3

Answer: A,C,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 # 85
Where are Topic Profiles configured for use in Command Center?

Answer: D


NEW QUESTION # 86
What is the fastest method of adding web analytics tags to all posts created in Social Studio Publish?

Answer: D


NEW QUESTION # 87
......

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