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Salesforce MCE-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Messaging11%- Personalized content design and delivery
- Deliverability and compliance management
- Cross-channel messaging strategy
Account Configuration12%- Sender Authentication Package implementation
- Reply Mail Management setup and resolution
- Mobile Studio configuration and troubleshooting
- Account hierarchy design and management
Data Modeling and Management21%- Contact identity and data governance
- Reporting, data views, and tracking extracts
- Data object selection and relationship definition
Discovery and Architecture16%- Data and segmentation strategy design
- Solution recommendation and long-term maintainability
- Requirements gathering and analysis
Integration20%- Extension product selection and implementation
- Data model design for personalized messaging
- Marketing Cloud Connect configuration and troubleshooting
Automation20%- Automation type and activity selection
- Automation Studio workflow implementation
- Journey Builder flow design

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Salesforce Certified Marketing Cloud Engagement Consultant Sample Questions (Q70-Q75):

NEW QUESTION # 70
What type of fields are not supported by the Marketing Cloud Account Engagement sync

Answer: A,C,D,E,H


NEW QUESTION # 71
Northern Trail Outfitters wants to enable Sales Cloud users to manually create a segment of both lead and contact records that can be targeted through the Send Flow in Content Builder. What should a consultant recommend for segmentation?

Answer: A

Explanation:
Salesforce Campaigns are the best way for Sales Cloud users to manually create a segment of Leads and Contacts. Through Marketing Cloud Connect, Salesforce Campaigns can be used directly as an audience source in the Content Builder Send Flow, allowing quick selection and targeting without custom queries.


NEW QUESTION # 72
Northern Trail Outfitters wants to set up an automation that imports a file and sends an email to the contacts when the file is dropped on the SFTP. The name of the file will change, though it will always start with thank_you_customers.
How would they set up the Import Activity to know the name of the file?

Answer: C

Explanation:
This corrects the source material. When a File Drop Automation is configured with a filename pattern trigger (for example, ' Begins With thank_you_customers ' ), the actual filename varies from run to run, so the Import Activity inside that automation cannot be hard-coded to a static name. Salesforce ' s documented mechanism is a substitution string in the File Naming Pattern field of the Import Activity that dynamically resolves to whatever file name triggered that automation run - commonly referenced as a FILENAME_FROM_TRIGGER-style token. This lets one Import Activity definition correctly ingest any file matching the trigger pattern without manual reconfiguration. There is no native ' %% AUTOMATED_FILENAME%% ' token (option A) and no ' Use filename from Automation ' checkbox (option C) in Automation Studio ' s Import Activity configuration - both are fabricated distractors. Option B is directionally sympathetic to the real behavior but is imprecise: the filename is not silently and automatically inferred with zero configuration; the consultant must explicitly set the File Naming Pattern field to the trigger- reference substitution string for the Import Activity to resolve it correctly. Consultants configuring file-drop- triggered imports should always pair the automation ' s trigger pattern with the corresponding substitution string in the Import Activity. Reference: File Drop Automations, Import Activity File Naming Pattern.


NEW QUESTION # 73
Northern Trail Outfitters has a master data extension of 880,000 subscribers they want to randomly split into
11 groups to test different messaging strategies.
How could this be accomplished?

Answer: D

Explanation:
Automation Studio ' s Random Split Activity is purpose-built for exactly this use case: it takes a source data extension and divides its population into a specified number of evenly-sized, randomly-allocated output data extensions - up to 15 target groups in a single configuration - making it the direct, native tool for splitting
880,000 subscribers into 11 test cells for a messaging strategy experiment. This runs as a discrete, batch- oriented step well suited to a one-time or periodic large-scale segmentation exercise ahead of a send. While Journey Builder (B) does offer a Random Split/Engagement Split concept for path allocation within a running journey, it operates at the individual-contact, in-journey routing level rather than as a bulk pre-send data- partitioning tool for building separate testable data extensions, making it a mismatched tool for this specific batch-preparation requirement. Contact Builder (C) is the data modeling and relationship configuration workspace - it does not contain data-splitting or randomization functionality. Email Studio (D) is the content and list-management workspace for building and sending emails; it likewise has no native random data- extension splitting capability. For any ' divide a data extension into N random groups ' requirement, Automation Studio ' s Random Split Activity is the standard answer. Reference: Automation Studio Random Split Activity.


NEW QUESTION # 74
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 provide a drag-and-drop, no-code way to segment audiences based on profile attributes or behavior.
They allow marketing users without SQL or AMPscript knowledge to build audiences directly in Email Studio.


NEW QUESTION # 75
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