MCE-Admn-201 Salesforce Certified Marketing Cloud Engagement Administrator Free Practice Exam Questions (2025 Updated)

For a non-technical marketing user to manage a campaign sending renewal reminders:

Data Filter: Use Data Filters to segment customers based on the expiration date included in the data file. This enables targeting customers 15 days and 7 days before subscription expiration.

Template-based Emails: Implement template-based emails to allow the marketing user to easily update and manage email content without needing technical skills or administrative rights.

Automation Studio: Utilize Automation Studio to schedule and automate the sending of these emails based on the specified criteria, streamlining campaign management.

To solicit website feedback directly within an email without navigating away from the email, the feature to use is B. Email Form Content Block. This block allows subscribers to submit feedback directly within the email, enhancing user experience and increasing the likelihood of feedback submission since the subscriber does not need to leave their email environment.

The Time Between Send and Engagement report shows how long it takes for subscribers to open or click an email after it is sent, which can help optimize the send time for mobile users. The Email Performance by Device report shows how subscribers interact with emails on different devices, such as desktops, tablets, or phones, which can help design responsive emails for mobile users.

A functionality unique to Journey Builder that is not available in Automation Studio:

Wait Activities: Journey Builder provides the flexibility to configure wait times based not just on a fixed duration but also until a specific date or time, which is essential for personalizing the timing of customer interactions based on individual behaviors or milestones.

 The Collect Tracking code is a JavaScript code that is added to a website to capture and send user behavior data to Marketing Cloud. This data is stored in data extensions and can be used for Einstein Recommendations1

To implement item recommendations during the checkout process using Einstein, Northern Trail Outfitters should:

Implement the Collect Code on their website. This JavaScript snippet collects customer behavioral data, which is essential for powering personalized recommendations.

Add the Recommendation Code to the checkout page. This code snippet is responsible for displaying the personalized recommendations generated by Einstein based on the collected data.

For handling a daily file drop that requires immediate processing:

File Drop Automation: Use File Drop Automation triggered by the presence of a new file on the SFTP. This automatically starts the import and subsequent data handling processes.

Workflow Details: Start with an Import File Activity to load data into the staging data extension, followed by SQL Query Activity 1 to segment the data into one target data extension and SQL Query Activity 2 for the other.

To pass the email address of a subscriber to a landing page through a URL parameter from a promotional email securely, the admin should use the CloudPagesURL AMPscript function. This function encrypts the email address and other parameters and generates a unique URL for each subscriber. The landing page can then use the RequestParameter AMPscript function to decrypt the email address and other parameters

For sending a promotional email to one million subscribers, a Data Extension is the most suitable data structure. Data Extensions offer robust data management capabilities, scalability, and flexibility for handling large volumes of data and complex segmentation, which is essential when dealing with a large audience size like one million subscribers. This setup allows for more detailed targeting and personalization strategies.

To address the issue of Northern Trail Outfitters' employees not receiving emails due to spam filters, the Marketing Cloud admin should provide the IT team with a list of relevant IP addresses to whitelist in their spam filters. This action will help ensure that emails sent from Marketing Cloud do not get blocked by the company's email security systems, thereby improving deliverability and ensuring that internal communications reach their intended recipients.

To create a suppression list for hard-bounced email addresses, the most direct approach is to query the Bounce Data View in SQL. This Data View contains all bounce-related information, allowing admins to specifically filter for hard bounces by the bounce category. Using a query activity, the admin can extract all hard bounce records and create a dynamic or static suppression list based on these results. This method is efficient and ensures that only relevant data is included in the suppression list.

Synchronized Data Sources is the feature that would allow this functionality. Synchronized Data Sources are data sources that allow marketers to import and synchronize data from Salesforce CRM objects into Marketing Cloud data extensions. Synchronized Data Sources can be configured with different settings, such as sync frequency, field mapping, and filter criteria. Synchronized Data Sources enable marketers to use Sales Cloud data in their queries and other Marketing Cloud activities.

Smart Capture is the feature that should be used to create a survey form. Smart Capture is a feature that allows marketers to create and insert forms within landing pages or emails, such as surveys, polls, or feedback requests. Smart Capture can be customized with different fields, labels, buttons, and actions. Smart Capture can capture subscriber responses and store them in a data extension or update existing records in Marketing Cloud.

To support the development of a new eCommerce section and leverage transactional data in customer journeys, the following Marketing Cloud features are relevant:

A. Data Designer: Enables the design and configuration of data models within Contact Builder, crucial for managing transactional data effectively for use in journeys.

D. Content Builder: Facilitates the creation of personalized email content using transactional data, enhancing the relevance and engagement of communications sent to customers.

These features are essential for integrating and utilizing transactional data to drive personalized customer interactions within eCommerce contexts.

To determine the total number of emails sent across all business units in the last calendar year, the Marketing Cloud admin should use Analytics Builder > Reports > Email Send Report. This section of Analytics Builder provides comprehensive reporting capabilities, including the ability to generate detailed reports on email sends across different business units over specified time periods.

 Einstein Email Recommendations is a product that enables a Marketing Cloud admin to observe customer behavior, build performance profiles and deliver the next best content. This product uses predictive intelligence to recommend products or content based on each customer’s preferences and actions. The other products do not have this capability.

To configure the data model in Marketing Cloud for effective use in Journey Builder:

Customer ID Linkage: Connect the Customers data extension to the data model using the Customer ID. This serves as a unique identifier to relate customer records across different data extensions.

One-to-Many Relationship: Establish a One-to-Many relationship between the Orders data extension and the Customers data extension. This setup accurately reflects that each customer can have multiple orders but each order is linked to only one customer, facilitating targeted messaging based on order status.

Given that the customer's product catalog changes daily with products being added and removed, the import type that should be used is A. Overwrite. This import type will replace the existing data in the data extension with the new data from the CSV file each morning, ensuring that the data extension always reflects the most current product catalog without any outdated entries.

To effectively set up a welcome journey leveraging customer data across multiple data extensions in Contact Builder:

Single Attribute Group: Create one cohesive Attribute Group that interlinks Customers to Contacts, Orders to Customers, and Products to Orders. This setup ensures a streamlined data flow and relational integrity, crucial for targeting and personalization within the journey.

Data Relationships: This configuration facilitates the use of data across different stages of customer interaction—from acquisition through orders to product preferences—enabling more personalized journey experiences.