Free MC-201 sample questions

Correct answers: Import the new prospects with the 'Opted Out' field marked as true.; Create a static list of the imported prospects to use as a suppression list for all email sends.; Configure an automation rule that identifies the imported prospects and adjusts their score based on the temporary model.

Importing with 'Opted Out' checked is a direct way to prevent them from receiving marketing emails. This can be reversed later with an automation rule after the 90-day period.

Using a static list as a suppression list for all sends is a reliable method to ensure no marketing communications are sent to this specific group during the restricted period.

An automation rule is the ideal tool to retroactively and conditionally apply a different scoring model based on an identifying characteristic of the imported prospects (e.g., a custom field marking their source).

Correct answer: The steps for the 'yes' and 'no' paths were built sequentially under the trigger instead of on separate branches.

This is a common configuration error. Instead of creating two distinct branches for 'yes' and 'no' outcomes, the marketer likely placed the 'no' path actions directly underneath the 'yes' path actions. This makes the program flow linear, causing prospects to complete the 'yes' path and then continue on to the 'no' path steps.

Correct answer: A Form Handler

A Form Handler is the correct tool for this scenario. It provides a specific endpoint URL to which third-party forms can post data. It can then map the incoming data to Account Engagement fields and trigger completion actions, such as 'Add to Salesforce Campaign'.

Correct answer: Request Salesforce Support to enable the 'Operational Emails' permission, then create and send a list email with this designation.

Sending operational (transactional) emails that bypass opt-out status requires a specific permission that must be enabled by Salesforce Support. Once enabled, a user with the correct permissions can designate a list email as 'Operational' to ensure it is sent to all recipients on the list.

Correct answer: Create a repeating Automation Rule that checks for 'Prospect time :: last activity days :: is greater than 60' and has an action to 'Adjust prospect score :: by :: -10'.

A repeating Automation Rule is the best practice for implementing score decay. By setting the rule to repeat, it will continuously evaluate prospects. The criteria correctly identifies inactive prospects, and the action automates the score reduction, making it a 'set it and forget it' solution.

Correct answer: Use Salesforce's value

The 'Use Salesforce's value' sync behavior designates Salesforce as the master for that field. This means any changes made in Salesforce, including deleting a value from a multi-select picklist, will overwrite the value in Account Engagement during the next sync, ensuring data consistency.

Correct answer: The existing prospect record is restored from the Recycle Bin and updated with the new form data.

A form submission is considered a prospect activity that indicates renewed interest. Therefore, Account Engagement automatically undeletes (restores) the matching prospect record from the Recycle Bin and updates it with the information from the form submission.

Correct answer: True

This is true. Custom Redirects are a type of marketing asset that supports completion actions. One of the available completion actions is 'Add to Salesforce Campaign', which allows the user to specify the campaign and the desired member status for the prospect who clicks the link.

Correct answers: B2B Marketing Analytics must be configured and running.; There must be at least 20 prospects that have converted to an opportunity over the past two years.

Einstein Behavior Scoring relies on the data and infrastructure provided by B2B Marketing Analytics. If B2BMA is not set up, the scoring model cannot be built or applied.

The Einstein model learns what engagement patterns lead to success by analyzing historical data. It requires a minimum of 20 converted opportunities within the last two years to have a baseline dataset from which to build its predictive model.

Correct answer: Triggers evaluate prospect actions, while Rules evaluate prospect data fields.

This is the core distinction. Triggers listen for an event to happen (e.g., email open, form submission, link click), which is action-based. Rules check the current state of a prospect's data (e.g., grade is 'A', custom field contains 'USA', score is greater than 100), which is criteria-based.