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Marketing-Cloud-Advanced-Cross-Channel Practice Questions

Question # 1
Difference between inbox message and in app message.
A. Inbox message is displayed and stored in device in app message is displayed only 1 time
B. Inbox message is displayed once but in app message is displayed repeatedly
C. Inbox messages can be used only in los whereas in app message can also be used in android


A. Inbox message is displayed and stored in device in app message is displayed only 1 time

Explanation:

The primary difference between inbox messages and in-app messages in mobile marketing involves how they are stored and displayed: A: Inbox message is displayed and stored in device, in-app message is displayed only 1 time. Inbox messages are saved within the app's message center or inbox and can be accessed multiple times. In contrast, in-app messages appear only once during the app usage session and are not stored for future viewing.


Question # 2
In social studio how many columns are used in a engage tab (max 30 tabs in a engage, no limit for columns in each tab) and each column contains max 50 accounts)
A. 50
B. 100
C. 15
D. No limit


D. No limit

Explanation:

In Salesforce's Social Studio, specifically within the Engage tab:

D. No limit: There is no limit to the number of columns that can be used in each Engage tab. This flexibility allows users to tailor their social media monitoring and engagement workspace to their specific needs, accommodating various accounts and types of interactions without a predefined cap on columns.



Question # 3
How often is the model refreshed for Einstein engagement frequency(uses 2Sday& data)- weekly
A. hourly
B. daily
C. monthly
D. Biweekly


D. Biweekly

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.



Question # 4
What is true about Einstein engagement frequency (EEF). Select 3
A. EEF uses only commercial send data not transactional
B. The model uses data available only in your account
C. Used to determine correct no of mails to be send so that there are less unsubscribes due to email fatigue. email fatigue.
D. It uses last ISO days engagement data


A. EEF uses only commercial send data not transactional
B. The model uses data available only in your account
C. Used to determine correct no of mails to be send so that there are less unsubscribes due to email fatigue. email fatigue.

Explanation:

Einstein Engagement Frequency (EEF) is a feature designed to optimize email engagement by determining the optimal frequency of emails to reduce unsubscribe rates due to email fatigue. It specifically uses data from:

A: Commercial send data, excluding transactional data.

B: Data available within your own account, ensuring the model is tailored to your specific audience and engagement patterns.

C: A strategy to help marketers send the right amount of emails, avoiding oversending that leads to subscriber fatigue and potential unsubscribes.

These insights help in crafting more effective email marketing strategies by understanding customer engagement and interaction patterns.



Question # 5
how many activities recommended in a journey canvas.(150-200)
A. 10
B. 50
C. 100
D. 300


B. 50

Explanation:

In Salesforce Marketing Cloud, when designing a journey within Journey Builder, it's recommended to limit the number of activities in a single journey canvas to around 50. This number balances complexity and manageability, ensuring that the journey remains effective and performant without becoming too cumbersome to maintain or update.


Question # 6
How dots social studio unify anonymous and known identities?
A. Deterministic matching


A. Deterministic matching

Explanation:

Social Studio unifies anonymous and known identities through: A. Deterministic matching: This method relies on definite identifiers (such as email addresses or phone numbers) to merge anonymous user data with known customer profiles, ensuring that interactions across different platforms and sessions are linked to the correct individual.


Question # 7
What can be recommended in Einstein web recommendations: select 3 (Home, Product; Category, Cart, Conversion Pages)
A. Product
B. Content
C. banner


A. Product

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.



Question # 8
What data is there in mobile connect demographics, select3
A. City
B. Region
C. Email
D. First name
E. channel


A. City
B. Region
D. First name

Explanation:

In MobileConnect, demographic data can include a variety of information about the users. The types of data available include:

A: City: Information about the user's city can be part of the demographic data collected.

B: Region: This includes broader geographic details such as state or province.

D: First Name: Personal information such as the user's first name is also typically collected as part of demographic data.



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Salesforce Marketing-Cloud-Advanced-Cross-Channel Exam Dumps

Exam Name: SalesforceMarketing Cloud Advanced Cross Channel
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  • Total Questions: 40
  • Last Updation Date: 17-Mar-2025

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