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Salesforce MCE-Con-201 Exam Syllabus Topics:

SectionObjectives
Topic 1: Automation and Journey Orchestration- Journey Builder
  • 1. Journey configuration and entry sources
    • 2. Decision splits and engagement steps
      - Automation Studio
      • 1. Automation workflows
        • 2. Data extension automation processes
          Topic 2: Email Marketing and Content Creation- Personalization and dynamic content
          • 1. Dynamic content rules
            • 2. AMPscript basics
              - Email Studio capabilities
              • 1. Email design and content building
                • 2. Content Builder assets and management
                  Topic 3: Tracking, Reporting, and Optimization- Analytics and reporting
                  • 1. Campaign performance analysis
                    • 2. Email tracking metrics
                      - Optimization practices
                      • 1. A/B testing concepts
                        • 2. Deliverability best practices
                          Topic 4: Marketing Cloud Core Concepts- Customer engagement fundamentals
                          • 1. Marketing Cloud architecture overview
                            • 2. Data model concepts (Contacts, Subscribers, Leads)
                              Topic 5: Data Management and Integration- Integration concepts
                              • 1. API integrations
                                • 2. Salesforce CRM integration
                                  - Data Extensions and Contact Builder
                                  • 1. Data modeling and relationships
                                    • 2. Import and extract activities

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                                      Salesforce Certified Marketing Cloud Engagement Consultant Sample Questions (Q79-Q84):

                                      NEW QUESTION # 79
                                      Northern Trail Outfitters wants to connect relational data into their Journey without overloading the entry data.
                                      Where should they connect the data?

                                      Answer: D

                                      Explanation:
                                      Data Designer is the dedicated Contact Builder workspace where relational connections between data extensions are modeled and configured - establishing one-to-one or one-to-many relationships on a common key between the journey ' s entry source data extension and additional, related data extensions holding supplementary attributes. Once these relationships are defined in Data Designer, that related data becomes available for use in Decision Splits, personalization, and other journey logic without needing to physically merge every related field directly into the entry source itself, which is precisely the ' without overloading the entry data ' requirement: the entry source stays lean and purpose-built for triggering journey entry, while richer related data remains accessible on demand through the modeled relationships rather than being duplicated into a bloated single table. ' Data Relationships ' (A) is a plausible-sounding but not the precisely correct, named Contact Builder feature - Data Designer is the actual product name for this configuration workspace. ' Entry Source Data Extension ' (C) describes the object being connected to, not the tool used to establish the connection. ' Contact Configuration ' (D) is not a recognized, standard Marketing Cloud feature name for this purpose. Reference: Data Designer, Contact Builder Relationships.


                                      NEW QUESTION # 80
                                      You have setup an automation rule to add 50 points to prospects who have had activity in the last 30 days and have submitted a specific landing page. You decide that you want to change this up to reflect more recent activity and open it up to all landing pages. You edit the rule criteria to reflect prospect last activity of 10 days or less and submission of any landing page and update the action to add 75 points instead. Which of the following statements is true?

                                      Answer: D


                                      NEW QUESTION # 81
                                      Northern Trail Outfitters ' marketing team is made up of a marketing manager, a marketing specialist, and a graphic designer. The team is new to Marketing Cloud and has very little coding experience. Currently, they use Excel and VLOOKUP to segment their email audiences and import them into Marketing Cloud.
                                      What solution should be recommended to allow for long-term self-sufficiency in segmentation?

                                      Answer: B

                                      Explanation:
                                      Data Filters in Contact Builder provide a point-and-click, drag-and-drop interface for building segmentation logic against attribute groups without writing SQL, which is exactly the on-ramp a non-technical team coming from manual Excel/VLOOKUP segmentation needs for sustainable self-sufficiency. Marketers can visually construct AND/OR filter logic against contact and related data, save the resulting filtered segment, and reuse or export it - replicating what they were doing manually in spreadsheets, but natively within the platform and without ongoing developer or consultant involvement. Query Activities (A), while powerful, require hand- written SQL syntax, which directly conflicts with the stated ' very little coding experience ' constraint and would create an ongoing dependency on technical resources rather than long-term self-sufficiency.
                                      Publication Lists (B) are a list-management construct for organizing subscribers by communication type
                                      /preference, not a segmentation-logic tool for building audiences from arbitrary attribute conditions. Attribute Groups (D) are the underlying Contact Builder configuration that defines which data extensions and relationships are available for segmentation - they are a prerequisite setup layer, not the marketer-facing segmentation tool itself; Data Filters are what marketers actually interact with to build audiences from those groups. Reference: Contact Builder Data Filters, Data Designer.


                                      NEW QUESTION # 82
                                      A customer wants to report on ' Not Sent ' contacts in Journey Builder emails.
                                      Which method should be used?

                                      Answer: D

                                      Explanation:
                                      Tracking Extract, run as an Automation Studio Data Extract Activity, is the documented mechanism for pulling detailed, per-send delivery status data - including records marked as Not Sent - for journey-driven email sends. Unlike the standard Sent Data View, which primarily reflects records that were successfully processed for sending, Tracking Extract exposes the fuller set of delivery outcome codes, including exclusions and failures, giving the granularity needed to specifically isolate and report on the ' Not Sent ' population from journey emails. Option A, querying the Sent Data View, is not reliable for this purpose because that view is generally populated with records that were successfully sent, not the ones that were excluded or failed to send
                                      - it is the wrong data source for isolating non-sends. Option B references a ' Subscribers Not Sent to ' standard report, which is not a real, out-of-the-box Marketing Cloud report name. Option D, Analytics Builder Intelligence Reports, refers to a different reporting layer focused on broader engagement and journey performance visualizations rather than granular per-record delivery-status extraction, and is not the documented tool for this specific ' Not Sent ' reporting need. Reference: Tracking Extract, Automation Studio Data Extract Activity.


                                      NEW QUESTION # 83
                                      A customer wants to use Sales Cloud as a system of record for email messages sent from Marketing Cloud; however, the customer only sends from custom objects and cannot use the Contact ID or Lead ID as the Contact Key in Marketing Cloud. What is the implication of this data model when using Marketing Cloud Connect?

                                      Answer: D

                                      Explanation:
                                      Marketing Cloud Connect requires a Subscriber Key that matches a Lead ID, Contact ID, or User ID for native tracking and send logging to work properly. If a custom object is used without these IDs, Marketing Cloud cannot push tracking data (such as email opens or clicks) back into Sales Cloud against those recipients.


                                      NEW QUESTION # 84
                                      ......

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