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Salesforce MCE-Con-201 Exam Syllabus Topics:

Section	Objectives
Automation and Journey Orchestration	- Automation Studio 1. Data extension automation processes 2. Automation workflows - Journey Builder 1. Journey configuration and entry sources 2. Decision splits and engagement steps
Marketing Cloud Core Concepts	- Customer engagement fundamentals 1. Marketing Cloud architecture overview 2. Data model concepts (Contacts, Subscribers, Leads)
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
Email Marketing and Content Creation	- Personalization and dynamic content 1. AMPscript basics 2. Dynamic content rules - Email Studio capabilities 1. Content Builder assets and management 2. Email design and content building
Data Management and Integration	- Integration concepts 1. Salesforce CRM integration 2. API integrations - Data Extensions and Contact Builder 1. Import and extract activities 2. Data modeling and relationships

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Salesforce Certified Marketing Cloud Engagement Consultant Sample Questions (Q51-Q56):

NEW QUESTION # 51
Northern Trail Outfitters wants to export a data file to its SFTP using Automation Studio. The file should contain all subscribers who did not receive their intended email in the last 24 hours. The automation will be scheduled to run each day. Which activity is required in the automation?

A. Report Definition Activity
B. SQL Query Activity
C. Data Extract Activity
D. SendLog Extract

Answer: C

Explanation:
Specifically, a Tracking Extract (a type of Data Extract) can pull all Not Sent events within the past 24 hours.
After extracting, the data can be moved to SFTP via a File Transfer Activity.

NEW QUESTION # 52
Northern Trail Outfitters (NTO) has been storing web behavior in a data extension for several years.
They have indicated that with several hundred million rows, there has been an impact on performance. NTO indicates they only need to store data from the previous twelve months, which will not exceed eighty million rows.
Which two methods would allow them to utilize a Retention Policy? Choose 2 answers

A. Reconfigure the current data extension as-is with a Retention Period via Contact Builder.
B. Clear data from the current data extension completely, then reconfigure a Retention Period via Email Studio.
C. Replace the current data extension with a new data extension configured with a Retention Period.
D. Delete data from the data extension prior to twelve months ago, then configure a Retention Period via Contact Builder.

Answer: C,D

Explanation:
In Salesforce Marketing Cloud, applying a Retention Policy to a data extension helps manage data storage by automatically deleting records after a specified period.
Option B: By deleting data older than twelve months, NTO ensures that only relevant data remains. Subsequently, configuring a Retention Policy via Contact Builder will automate the deletion of records beyond the desired retention period moving forward.
Option D: Creating a new data extension with a predefined Retention Policy is a proactive approach. This ensures that only data within the desired retention period is stored, and it avoids potential issues with applying retention policies to existing data extensions that have exceeded certain thresholds.

NEW QUESTION # 53
An analytics team wants to get real-time updates on transactional email metrics, specifically Sent and NotSent, to ensure they are fulfilling a legal obligation due to the nature of their messages.
What method should be suggested in this scenario?

A. Data View Export with every send
B. Data Retrieves on the Send Object
C. Event Notification Service
D. Platform Events API

Answer: C

Explanation:
This is a direct restatement of Q16 ' s underlying mechanism: the Event Notification Service is Marketing Cloud ' s real-time, webhook-based method for pushing granular send-status events - including Sent and NotSent outcomes - to an external, subscribed endpoint as they occur, rather than requiring the analytics team to poll or wait for a batch process. Given the explicit legal-obligation framing, where the team needs assured, immediate visibility into whether a transactional message actually reached the recipient, a push- based, real-time notification mechanism is the only option among those listed that genuinely delivers status ' in real time ' rather than on a delay. Platform Events API (A) is a Salesforce Sales/Service Cloud pub/sub messaging framework for custom Salesforce-side event architectures - it is not the native Marketing Cloud mechanism for transactional send-status notifications. ' Data Retrieves on the Send Object ' (B) is not a defined, real, real-time Marketing Cloud feature or standard terminology. Data View Export ' with every send
' (D) describes a batch or scheduled extraction pattern that, even if run frequently, introduces polling latency and operational overhead incompatible with genuine real-time delivery, unlike a push-based webhook subscription. Reference: Event Notification Service, Transactional Messaging.

NEW QUESTION # 54
LenoxSoft wants to measure their brand awareness to raise their brand recognition for their company. The company wants to use Marketing Cloud Account Engagement to increase the number of impressions across their online channels. Which are the best reports to monitor impressions to help measure LenoxSoft's brand awareness of a period of time?

A. Monitor no of visitors, social post enagements and natural search reports month over month
B. Monitor no of prospects, social post enagements and paid search reports month over month
C. Monitor no of visitors, form conversion and email click-through rate reports month over month
D. Monitor no of prospects, form submission and email open rate reports month over month

Answer: A

NEW QUESTION # 55
Northern Trail Outfitters injects customers into Journey B based upon email engagement in Journey A. Which method would facilitate this solution?

A. In Automation Studio, use verification activity to verify engagement on email in Journey A; query engagement data extension for Journey B Subjects.
B. In Journey A, engagement split followed by Contact Activity to Boolean on an engagement data extension; query engagement data extension injections.
C. In Journey A, engagement split after email send. In Automation Studio, query JourneyActivity data view for the Engagement split result Boolean field, use result Data.
D. In Automation Studio, query activity engagement on Journey System data view for email send to Journey A; Use result data extension for Journey B Subjects.

Answer: C

Explanation:
You would:
Use an Engagement Split in Journey A to track who engaged (opened or clicked).
After the Engagement Split, capture the engagement decision (typically Boolean) into an attribute or Data Extension.
Then use Automation Studio to query the JourneyActivity data views for those who engaged and inject them into Journey B.

NEW QUESTION # 56
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