Question # 1
| What is the prerequisite to create advertising studio audience: | | A. Create advertising/business account on the required and network and setup the ad account integration in MC | | B. Set user opt in data. | | C. There is no prerequisite as all setup is done. |
A. Create advertising/business account on the required and network and setup the ad account integration in MC
Explanation:
To create an Advertising Studio audience, the prerequisite involves:
A: Create advertising/business account on the required network and setup the ad account integration in Marketing Cloud. This step ensures that Salesforce Marketing Cloud can communicate and synchronize data with the advertising networks, such as Facebook, Google, or Twitter, allowing for the targeted advertising campaigns to be managed directly from the Marketing Cloud.
Question # 2
| Where to create topic profiles in command center? | | A. command center | | B. social automate | | C. social admin |
A. command center
Explanation:
Topic profiles in Salesforce's Command Center are created directly within:
A: Command Center. This platform serves as the central hub for managing and
visualizing real-time data streams, including social media topics. By creating and
configuring topic profiles here, users can effectively monitor and analyze specific
content relevant to their business needs directly from the Command Center
dashboard.
Question # 3
| 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 # 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 over-sending 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
| What is true about shared entry event. | | A. It cannot be modified. | | B. Data extension created by it can be modified. | | C. Yon can use filter for entry audience segregation. |
C. Yon can use filter for entry audience segregation.
Explanation:
In Salesforce Marketing Cloud, a Shared Entry Event allows for the use of a single entry
event across multiple journeys. This feature supports the use of filters to segment the entry
audience, enabling precise targeting based on specific criteria defined in the filter. This
capability enhances flexibility and efficiency in managing multiple journeys that cater to
different segments of your audience based on shared criteria.
Question # 6
| How does real time interaction management (RTM) in IS help marketer to provide personalized content to user, Select multiple | | A. Orchestration | | B. Data aggregation | | C. Unified customer profile |
B. Data aggregation
C. Unified customer profile
Explanation:
Real-Time Interaction Management (RTIM) in Salesforce Interaction Studio (IS) enhances marketers' ability to deliver personalized content by:
A. Orchestration: Managing and coordinating customer interactions across various channels in real-time, ensuring consistent and contextually relevant communication.
B. Data aggregation: Collecting and synthesizing data from various sources to provide a comprehensive view of customer interactions, preferences, and behaviors.
C. Unified customer profile: Creating a single, cohesive profile for each customer by integrating data from multiple touchpoints and data sources, allowing for more targeted and personalized marketing strategies.
Question # 7
| What is prerequisite for email/web recommendations: select 2 | | A. collect tracking code | | B. catalog |
A. collect tracking code
B. catalog
Explanation:
The prerequisites for using email/web recommendations in Salesforce Marketing Cloud involve two key components:
A: Collect Tracking Code: This is essential as it gathers the necessary behavioral data from users' interactions with emails and websites. This data is critical for powering the recommendation engine.
B: Catalog: A catalog of items (products or content) that can be recommended must be set up and maintained. This catalog serves as the database from which the recommendation engine selects items to suggest to different users.
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