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Salesforce Advanced-Cross-Channel Exam Syllabus Topics:

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

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Salesforce Advanced Cross Channel Accredited Professional Sample Questions (Q24-Q29):

NEW QUESTION # 24
How often are the Einstein Engagement Scoring models updated?

Answer: D


NEW QUESTION # 25
What is the most frequent option to refresh an Advertising Audience?

Answer: E


NEW QUESTION # 26
If an administrator put an email in a shared folder and did not set permissions, which business units would have full access to the email?

Answer: A


NEW QUESTION # 27
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 # 28
Which two concepts are types of Journeys?
Choose 2 answers

Answer: A,D


NEW QUESTION # 29
......

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