Marketing-Cloud-Account-Engagement-Specialist Salesforce Marketing Cloud Account Engagement Specialist (SP25) Free Practice Exam Questions (2025 Updated)

For a Pardot form used on a computer tablet in a setting like a conference, the Kiosk/Data Entry Mode is an ideal feature to enable. This mode is specifically designed for public or shared use scenarios, where multiple individuals will be filling out the form in succession. When this mode is enabled, the form automatically resets after each submission, clearing all previously entered data and preparing the form for the next user. This ensures that each participant sees a fresh form, preventing the accidental sharing of personal information between users and facilitating a smooth data entry process in high-traffic environments.

The list email or email template report deliverability metric that could indicate an unverified sending domain is hard bounces. Hard bounces are permanent delivery failures, such as invalid email addresses or blocked domains. Hard bounces can negatively affect the sender reputation and the email deliverability. One of the possible causes of hard bounces is an unverified sending domain, which means that the email domain used to send emails from Marketing Cloud Account Engagement is not authenticated and verified by Marketing Cloud Account Engagement. An unverified sending domain can result in the email servers rejecting the emails as spam or phishing attempts. To avoid hard bounces and improve email deliverability, the marketer should verify the sending domain in Marketing Cloud Account Engagement by following the steps in the reference link. Forward count, skimmed percentage, and total queued are not deliverability metrics that could indicate an unverified sending domain. Forward count measures how many recipients forwarded the email to another person. Skimmed percentage measures how many recipients opened the email for less than two seconds. Total queued measures how many emails were waiting to be sent from Marketing Cloud Account Engagement. These metrics are not related to the email domain verification or the email delivery failures. References Verify Your Sending Domain

A Marketing Cloud Account Engagement instance can have only one CRM connector verified at one time. A CRM connector is a feature that allows you to connect your Marketing Cloud Account Engagement account with your CRM system, such as Salesforce or Microsoft Dynamics. A CRM connector enables bi-directional data sync between Marketing Cloud Account Engagement and your CRM, and allows you to align your marketing and sales processes. You can only have one CRM connector verified at one time, because Marketing Cloud Account Engagement can only sync with one CRM system at a time. If you want to switch to a different CRM system, you need to disconnect your current CRM connector and verify a new one

The number that would display on the Report Card for the email send statistic is 100. This is because the Report Card shows the total number of prospects that have reached a specific step in the program, regardless of the date range that you filter by. The date range filter only affects the data that is shown in the Engagement History table, which shows the number of prospects that have taken a specific action on a specific date. Therefore, even if the user filters the program to show a date range of Tuesday through Friday of last week, the Report Card will still show that 100 emails were sent on Monday, as that is the total number of prospects that reached the first step of the program

According to the Salesforce documentation, the information that cannot be displayed as a graph (line or bar) on the dashboard are: A) Prospects Created, and B) Conversions. The dashboard is a feature that shows the overview and performance of the marketing activities and campaigns in Marketing Cloud Account Engagement. The dashboard can be accessed from the Dashboard tab in Marketing Cloud Account Engagement, and it can show different data and metrics for the marketing elements, such as emails, forms, landing pages, or opportunities. The dashboard can display some of the information as graphs (line or bar), such as opportunities created, opportunities won, opportunities lost, or all prospects. The graphs can help users to visualize and compare the trends and changes of the information over time, and to filter or export the graphs. The dashboard cannot display some of the information as graphs (line or bar), such as prospects created or conversions. The prospects created information shows the number of prospects that were added to Marketing Cloud Account Engagement in a given time period, and it can be displayed as a table or a chart, but not as a graph. The conversions information shows the number of visitors that were converted to prospects in a given time period, and it can be displayed as a table or a chart, but not as a graph. These types of information are not suitable for displaying as graphs, as they are either too granular or too static for the data visualization. References: Salesforce documentation

 What is needed for a page action to trigger for a prospect visiting a high value web page is adding a page action and Marketing Cloud Account Engagement tracking code on the page. A page action is a Marketing Cloud Account Engagement feature that allows the administrator to perform certain actions when a prospect views a specific page on the website, such as increasing the score, changing the field value, adding to a list, etc. A page action can be created by entering the URL of the page and selecting the actions to be performed. A Marketing Cloud Account Engagement tracking code is a snippet of code that can be added to the website to track the page views and activities of visitors and prospects on the website. The Marketing Cloud Account Engagement tracking code is required for the page action to work, as it identifies the prospects who visit the page and executes the actions on them. Creating an automation rule, adding a completion action, or adding a page action on the form are not what is needed for a page action to trigger for a prospect visiting a high value web page. An automation rule is a rule that runs in the background and matches prospects based on certain criteria and performs certain actions. An automation rule can use page views as a criterion, but it is not the same as a page action, as it does not depend on a specific URL. A completion action is an action that is triggered when a prospect completes a specific activity, such as submitting a form, clicking a link, or opening an email. A completion action is not related to a page view, unless the page contains a form or a link. A page action on the form is not possible, as a page action can only be added on a page, not on a form. References [Page Actions] [Marketing Cloud Account Engagement Tracking Code]

 According to the Salesforce documentation, the default scoring model in Marketing Cloud Account Engagement assigns points to prospects based on their activities, such as clicking a link in an email, submitting a form, or visiting a landing page. These activities indicate the level of interest and engagement of the prospects, and help prioritize them for sales follow-up. Converting a lead to a contact or sending an email to the assigned user are not activities that automatically increase the prospect’s score, unless they are customized in the scoring rules. References: Salesforce documentation

 A user needs to be able to import and export lists. The user role that you should give them is Marketing. The Marketing user role has the permission to import and export prospects, as well as create and edit marketing assets, such as forms, landing pages, emails and campaigns. The other user roles, such as Sales Manager, Sales and None of the above, do not have the permission to import and export prospects. 

An autoresponder is a type of email that is automatically sent to a prospect when they perform a specific action, such as filling out a form, downloading a file, or registering for an event. To send an autoresponder, a marketer must create an email template using the classic email builder in Marketing Cloud Account Engagement. An email template is a reusable email design that can be customized with dynamic content and personalization. A test email, a one-to-one email, and a list email are not suitable for sending an autoresponder, as they are either not reusable, not automated, or not personalized. References: : Create an Autoresponder Email

In Salesforce Pardot’s enhanced email experience, the process to use a created email content in an engagement program requires converting the email content into an email template.

Convert the email content record to an email template: This functionality allows marketers to leverage the rich content created in the email content record format and utilize it within the structured framework of an engagement program. The conversion process standardizes the email content into a template format, which can then be seamlessly integrated into various Pardot automation tools including engagement programs. This ensures that the aesthetic and functional integrity of the email content is maintained across different marketing campaigns and workflows.

Options such as selecting the engagement program directly from the email or activating the email for use in automation do not align with Pardot’s current capabilities regarding email integration in engagement programs, as they require the email to be in a template format to be used effectively.

Creating or marking an opportunity as lost will result in the change of a prospect’s score. This is because opportunities are one of the factors that affect the scoring of prospects in Marketing Cloud Account Engagement. Scoring is a numerical value that indicates the level of interest or engagement of a prospect in your products or services. Scoring is based on the actions and activities of prospects, such as opening emails, clicking links, filling out forms, visiting landing pages, and creating or updating opportunities. When an opportunity is created or marked as lost, the prospect’s score will change accordingly. For example, if you have a scoring rule that adds 50 points to a prospect’s score when an opportunity is created, and subtracts 25 points when an opportunity is lost, then creating or marking an opportunity as lost will affect the prospect’s score by those amounts.

Answer B is incorrect because creating or marking an opportunity as lost will not result in no change of a prospect’s score, as explained above. References: Scoring, Opportunities

An A/B test list send email is a type of email send that allows marketers to test different versions of an email and measure their performance based on metrics such as opens, clicks, and conversions. The winning version is the one that has the highest percentage of the selected metric. If the winning version shows the percentage by which it out-performed the other version as 0%, it means that both versions had the same performance on the selected metric, and the A/B test was a tie2. References: 2: A/B Testing Your Email Sends

The automation tool that would effectively achieve the goal of adding prospects to a list after they submit a form, but not retroactively applying actions to prospects that have already filled out the form, is a completion action. Completion actions are actions that are triggered when a prospect completes a specific activity, such as submitting a form, clicking a link, or opening an email. Completion actions are executed in real time and only affect the prospects who complete the activity after the action is set up. Segmentation rules, dynamic lists, and automation rules are not suitable for this goal, as they are either retroactive, recurring, or based on criteria other than a specific activity. References Completion Actions Overview

Salesforce's Einstein Key Accounts Identification feature is designed to help sales managers and teams identify and focus on their most important accounts based on a variety of metrics, including historical data and engagement levels.

Einstein Key Accounts Identification: This feature uses advanced machine learning algorithms to analyze past opportunity creation data and various engagement metrics to pinpoint which accounts are likely to be the most valuable or have the highest potential. This can help sales managers prioritize their efforts and resources more effectively. The insights generated by this tool are integrated directly into the Salesforce account records, providing easily accessible and actionable data for sales teams.

This contrasts with options like the Einstein Behavior Score, Pardot grade, and Pardot score, which, while useful for assessing individual lead or contact engagement and readiness, do not provide the holistic account-level insight that Einstein Key Accounts Identification does.

According to the Salesforce documentation, when a prospect is permanently deleted from Marketing Cloud Account Engagement, all the associated data and activities are also deleted and cannot be restored. However, if the prospect fills out a new Marketing Cloud Account Engagement form and submits their information, a new prospect record will be created with the same email address as the deleted one, but without any of the previous data and activities. The new prospect will have a new unique ID and will not be linked to the deleted one in any way. References: Salesforce documentation

 What happens to the wait time when a user pauses an engagement studio program and the prospect still has time remaining on the wait period is that the wait time is paused and the prospect will finish the remaining wait time when the program resumes and proceed to the next step. An engagement studio program is a program that automates the delivery of emails and other actions based on the behavior and criteria of the prospects. A wait time is a period of time that the program waits before executing the next step. When a user pauses an engagement studio program, the prospects in the program are also paused and their wait times are not affected. Therefore, when the user resumes the program, the prospects resume from where they left off and finish the remaining wait time before moving to the next step. The other options are not what happens to the wait time when a user pauses an engagement studio program. References [Engagement Studio FAQ]

To ensure that emails are sent at the optimal time for each prospect on a global scale, Pardot administrators should utilize the Einstein Send Time Optimization feature. This capability, part of Salesforce Pardot's Einstein suite of AI tools, leverages machine learning to analyze each prospect’s engagement history and predict the most effective time to send emails. This analysis considers various factors including past open and interaction times to tailor email delivery schedules individually. By enabling this feature, marketers can significantly increase the likelihood of their emails being opened and acted upon, optimizing campaign effectiveness across different time zones and individual prospect behaviors. This targeted approach helps in maximizing engagement by delivering emails when prospects are most likely to be attentive and responsive.

The recommended way to create this type of list is to use an automation rule where prospects who complete the form will match the rule once and be added to the list. An automation rule is a rule that runs continuously in the background and matches prospects based on the criteria you set. You can use an automation rule to perform actions on the matched prospects, such as adding them to a list, assigning them to a user, or changing their field values. However, an automation rule can only match a prospect once in its lifetime, even if the prospect meets the criteria again later. This prevents duplicate or conflicting actions from being applied to the same prospect3. Therefore, an automation rule is ideal for creating a list of prospects who complete the Contact Us form but only want them to be added the first time they complete the form. If a prospect is ever removed from the list, they will not be able to get added back to it, because they will not match the automation rule again.

 If a non-repeating automation rule has matched 100 prospects, and a user pauses the automation rule, edits the rules criteria, and resumes the rule, the 100 prospects who previously matched the rule will be marked as unmatching the updated rule. This means that they will not receive any new actions from the rule, and any actions that were already applied to them will not be undone11. However, if the rule is set to repeat, the prospects who previously matched the rule can match the rule again if they meet the new criteria