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Salesforce Marketing-Cloud-Advanced-Cross-Channel Exam Syllabus Topics:

Topic	Details
Topic 1	Interaction Studio: Mastering Interaction Studio capabilities ensures expertise in real-time personalization and customer interaction strategies, aligning marketing efforts with customer needs across all touchpoints.
Topic 2	Distributed Marketing: This topic focuses on features and sending options. Highlighting expertise in streamlining distributed campaigns showcases efficiency of Salesforce Marketing Cloud Practitioners in empowering localized marketing within a centralized platform.
Topic 3	Einstein for Marketing Cloud: The topic focuses on advanced understanding of Einstein capabilities, configurations, and differentiations. This tests proficiency of Salesforce Marketing Cloud Practitioners in using AI-powered tools to personalize and optimize Marketing Cloud initiatives.
Topic 4	Mobile (SMS Push): This section evaluates expertise in MobileConnect, MobilePush, and GroupConnect, along with integration options like WhatsApp. Mastering mobile configuration and Mobile Studio functionalities will demonstrate cross-channel communication proficiency of Salesforce Marketing Cloud Practitioners.

>> Marketing-Cloud-Advanced-Cross-Channel Detail Explanation <<

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Salesforce Marketing Cloud Advanced Cross Channel Sample Questions (Q26-Q31):

NEW QUESTION # 26
3 possible reasons why a SMS message would fail to reach users mobile? (select 3 options)

A. switched off
B. Low battery
C. SMS sent to landline number
D. out of cellular network coverage
E. mobile is in another call

Answer: A,C,D

NEW QUESTION # 27
What can be recommended in Einstein web recommendations: select 3 (Home, Product; Category, Cart, Conversion Pages)

A. Content
B. banner
C. Product

Answer: C

Explanation:
Einstein web recommendations can specifically recommend the following types of content on a website:
* A: Product: Recommendations can include specific products based on user behavior and preferences.
* Category: Pages that group similar types of products can also be recommended to help guide users to areas of interest.
* Cart: Recommendations can be made for the cart page to encourage the completion of purchases or suggest complementary products.

NEW QUESTION # 28
How often is the model refreshed for Einstein engagement frequency(uses 2Sday& data)-weekly

A. hourly
B. daily
C. Biweekly
D. monthly

Answer: C

Explanation:
Einstein Engagement Frequency, part of Salesforce Marketing Cloud, analyzes user engagement to optimize message frequency. This model is refreshed biweekly, utilizing 90 days of historical data to provide frequency recommendations. This biweekly refresh cycle allows for the incorporation of recent user interactions and behaviors to maintain the relevance and effectiveness of the frequency recommendations.

NEW QUESTION # 29
Which three types of recommendations are supported by Einstein Web Recommendations?
Choose 3 answers

A. Content
B. Banner
C. Operating System
D. Brower
E. Product

Answer: A,B,E

NEW QUESTION # 30
In which section can you define fatigue rules to restrict a user from being recommended same content multiple times

A. Einstein copy insights
B. Einstein engagement scoring
C. Einstein content selection

Answer: C

Explanation:
* Understanding Content Fatigue:
Content fatigue occurs when subscribers receive the same or very similar content repeatedly, leading to decreased engagement or even unsubscribes.
* Einstein Content Selection and Fatigue Rules:
Einstein Content Selection is a feature that uses AI to personalize content for each subscriber at the time of send. It takes into account subscriber preferences, past behavior, and available content assets.
Fatigue Rules: Within Einstein Content Selection, you can define "fatigue rules" (also sometimes referred to as "exclusion rules"). These rules prevent the system from recommending the same content to a subscriber too frequently within a defined timeframe.
* Why Other Options Are Incorrect:
B . Einstein Copy Insights: Focuses on analyzing subject line performance and providing recommendations, not on managing content fatigue.
C . Einstein Engagement Scoring: Predicts the likelihood of a subscriber engaging with emails (opening, clicking, unsubscribing). It doesn't directly control content selection or fatigue rules.

NEW QUESTION # 31
......

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Important Tips to Pass Salesforce Marketing-Cloud-Advanced-Cross-Channel Exam Quickly

Salesforce Marketing-Cloud-Advanced-Cross-Channel Exam Syllabus Topics:

2025 100% Free Marketing-Cloud-Advanced-Cross-Channel –Useful 100% Free Detail Explanation | Marketing-Cloud-Advanced-Cross-Channel Latest Exam

Salesforce Marketing Cloud Advanced Cross Channel Sample Questions (Q26-Q31):

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