Salesforce · MCAE-Con-201
Validates expertise in designing and implementing Marketing Cloud Account Engagement (Pardot) solutions that meet customer business requirements. Covers account configuration, lead management, automation, and reporting for scalable MCAE implementations.
Practice Questions
598
≈ 9 practice exams
Duration
105 minutes
Passing Score
68%
Difficulty
ProfessionalLast Updated
Jun 2026
Use this MCAE-Con-201 practice exam to prepare for Salesforce Certified Marketing Cloud Account Engagement Consultant (MCAE-Con-201) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 598 questions for Salesforce MCAE-Con-201, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as Account Strategy & Assessment, Account Configuration, Automating Business Processes, Email Marketing, and Lead Management. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
The Salesforce Certified Marketing Cloud Account Engagement Consultant credential validates deep expertise in designing, implementing, and optimizing B2B marketing automation solutions using Salesforce Marketing Cloud Account Engagement (formerly Pardot). It goes beyond day-to-day platform usage to assess a practitioner's ability to architect scalable MCAE instances that align with customer business requirements, ensure long-term maintainability, and drive measurable marketing outcomes.
Candidates are tested across eight domains spanning the full consultant lifecycle: from evaluating a client's current state and configuring accounts to automating complex marketing workflows, optimizing email delivery, managing lead lifecycles, personalizing prospect experiences, and surfacing actionable analytics for sales and marketing alignment. The exam reflects real-world consulting scenarios where trade-offs between automation tools, data governance models, and integration strategies must be carefully weighed to produce scalable solutions.
This certification is designed for marketing technology consultants, marketing automation architects, and senior MCAE administrators who regularly advise clients on platform strategy and implementation. Ideal candidates have at least 12 months of hands-on experience working with the Account Engagement Lightning App and the Salesforce Platform, and a strong understanding of standard B2B marketing automation practices.
Typical roles include Salesforce Marketing Cloud consultants, B2B marketing operations managers, Salesforce implementation partners, and in-house MCAE architects responsible for onboarding new business units or migrating legacy marketing platforms. Candidates should already hold the Marketing Cloud Account Engagement Specialist certification before pursuing this credential.
Salesforce strongly recommends that candidates hold the Salesforce Certified Marketing Cloud Account Engagement Specialist certification before attempting the Consultant exam, as the Consultant credential builds directly on the foundational platform knowledge validated by the Specialist. There are no formally enforced prerequisites, but attempting this exam without the Specialist certification is generally inadvisable.
Beyond the Specialist cert, candidates should have practical experience configuring MCAE instances from scratch, including technical setup, CRM connector configuration, user access governance, and data migration. Familiarity with Salesforce CRM administration concepts—such as lead and contact record management, custom fields, and user permissions—is also expected, as many exam scenarios require integrating MCAE decisions with broader Salesforce org considerations.
The MCAE-Con-201 exam consists of 65 multiple-choice and multiple-select questions to be completed in 105 minutes. The passing score is 68%. The exam is proctored and can be taken either online via remote proctoring or in person at an authorized testing center through Kryterion Webassessor or Pearson VUE. The registration fee is USD 200, with a USD 100 retake fee.
No partial credit is awarded on multiple-select questions. The exam does not publicly disclose a fixed number of unscored pilot questions, but Salesforce occasionally includes unscored items as part of ongoing exam development. Candidates should answer every question as if it is scored.
Holding the Salesforce Certified Marketing Cloud Account Engagement Consultant credential positions professionals for senior roles in the Salesforce partner ecosystem and in-house marketing operations teams, including titles such as Marketing Automation Consultant, Marketing Cloud Architect, and Director of Marketing Operations. Salesforce-certified consultants are in consistently high demand across industries that rely on B2B pipeline generation, and MCAE specialists are particularly valued in technology, financial services, and professional services sectors.
According to industry salary surveys, Salesforce Marketing Cloud consultants with specialist and consultant-level certifications typically earn between $90,000 and $140,000 annually in the United States, with independent consultants and implementation partners commanding higher project rates. The MCAE Consultant cert complements broader Salesforce credentials such as the Salesforce Administrator, Sales Cloud Consultant, and Marketing Cloud Email Specialist to create a compelling multi-cloud certification profile for candidates targeting enterprise marketing technology roles.
5 sample questions with answers and explanations. The full bank has 598 questions, enough for 9 full-length practice exams.
Preview — answers shown1. The marketing operations manager at Ashford Analytics needs to populate a static distribution list with all prospects in the 'Financial Services' industry who have a lead score above 60, for a one-time executive briefing invitation. No ongoing list maintenance is required after the list is built. Which Account Engagement tool should the consultant recommend for this task? (Select one!)
Explanation
A Segmentation Rule is the ideal tool for this scenario because it is specifically designed to perform a single one-time segmentation action—adding or removing prospects from static lists based on matching criteria—and then stops processing automatically. Since the briefing invitation requires a one-time list population with no ongoing maintenance, a Segmentation Rule precisely matches this use case. A Dynamic List continuously updates membership in real time as prospects meet or no longer meet defined criteria. Because dynamic list membership keeps changing after creation, it is inappropriate for a static, one-time use case where the recipient list must remain fixed at the time of population. A Completion Action fires in response to specific prospect interactions with marketing assets such as form submissions or email clicks, not based on existing field criteria evaluated across the entire database. An Automation Rule continuously processes prospects in the background approximately every ten minutes and supports multiple complex actions including field updates, notifications, and scoring adjustments, making it technically capable of this task but unnecessarily powerful and resource-intensive for a simple one-time list population requirement.
2. The revenue operations team at Crestwood Partners has configured B2B Marketing Analytics and wants to identify which marketing campaigns first introduced prospects to the company before any sales opportunity was created. Which campaign influence model available in B2BMA should the team apply? (Select one!)
Explanation
The first-touch campaign influence model attributes 100% of pipeline or revenue credit to the very first campaign a prospect engaged with prior to becoming an opportunity. This makes it ideal for evaluating which campaigns are most effective at generating initial awareness and introducing new prospects to the company — a classic top-of-funnel measurement. The even-distribution model splits credit equally across all campaigns a prospect touched before opportunity creation, which is better suited for understanding overall campaign participation throughout the buyer journey. The last-touch model attributes all credit to the final campaign touchpoint before an opportunity was created, making it more useful for identifying which campaigns are most effective at converting prospects into opportunities rather than sourcing them. A weighted campaign influence model is not a standard out-of-box attribution model included in B2BMA.
3. Ironside Marketing has just completed the B2B Marketing Analytics (B2BMA) setup for their Account Engagement implementation. Their marketing director wants to know which out-of-the-box dashboards are available immediately without additional configuration. Which of the following is NOT one of the five standard out-of-box dashboards included with B2BMA? (Select one!)
Explanation
The five out-of-box dashboards included with B2B Marketing Analytics are the Pipeline Dashboard, Engagement Dashboard, Marketing Manager Dashboard, Account-Based Marketing (ABM) Dashboard, and Multi-Touch Attribution Dashboard. An Email Deliverability Dashboard is not part of the standard B2BMA dashboard package. Email deliverability metrics—such as bounce rates, spam complaints, and unsubscribe rates—are available through Account Engagement's native email reporting and list email reports, but they are not surfaced as a CRM Analytics dashboard out of the box. The Pipeline Dashboard visualizes opportunity and revenue attribution from marketing efforts, the Marketing Manager Dashboard provides a high-level marketing performance summary, and the Multi-Touch Attribution Dashboard shows how campaigns influence deals across multiple touchpoints throughout the buyer journey.
4. The marketing team at Ridgemont Advisory needs to create a static list of all prospects who have a job title of Chief Financial Officer for a one-time direct mail campaign. The list will not need to be refreshed or maintained after the campaign sends. Which automation tool should the team use to build this list? (Select one!)
Explanation
A segmentation rule is the correct tool for this use case. Segmentation rules run once against the entire prospect database, add matching prospects to a static list, and then stop processing permanently. Since this is a one-time campaign with no need for ongoing list maintenance, the run-once behavior is exactly what is required. An automation rule runs continuously on a processing queue and will also match new prospects added in the future, creating unnecessary ongoing overhead for a one-time use case. A dynamic list continuously updates membership based on criteria and cannot produce a fixed static snapshot; it is designed for ongoing segmentation, not one-time lists. Engagement Studio does not independently populate lists as a standalone action outside of a nurture program flow.
5. The marketing operations director at Litware Financial has fully configured B2B Marketing Analytics and wants to present the VP of Marketing with an analysis showing how specific marketing campaign touchpoints across the entire buyer journey contributed to pipeline and closed revenue. Which out-of-the-box B2BMA dashboard should the consultant recommend? (Select one!)
Explanation
The Multi-Touch Attribution Dashboard is the out-of-the-box B2BMA dashboard specifically designed to show how marketing touchpoints across the buyer journey contribute to pipeline and closed revenue. It leverages campaign influence models including first-touch, even-distribution, and last-touch attribution to distribute revenue credit across multiple campaign interactions. The Marketing Manager Dashboard provides high-level campaign performance summary metrics but does not focus on multi-touchpoint revenue attribution. The Pipeline Dashboard tracks lead-to-opportunity conversion and pipeline progression metrics. The Account-Based Marketing Dashboard focuses on account-level engagement and scoring rather than multi-touchpoint attribution analysis across the buyer journey.
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