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Salesforce MCE-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Journey Builder and Automation	20%	- Automation Studio 1. Data management and file transfers 2. Automation activities and scheduling - Journey Builder fundamentals 1. Goal and exit criteria 2. Entry sources, activities, and flows
Topic 2: Concepts of Marketing Cloud Engagement	15%	- Technical architecture 1. Data model and relationships 2. Integration patterns with Sales/Service Cloud - Key terminology and concepts 1. Core concepts: journeys, messages, content, audiences 2. Marketing Cloud Engagement vs. other Marketing Cloud products
Topic 3: Analytics and Reporting	15%	- Standard reports and dashboards 1. Journey and automation performance 2. Email performance and engagement metrics - Advanced analytics 1. Data extracts and tracking 2. ROI measurement and attribution
Topic 4: Discovery and Requirements	15%	- Solution design 1. Create a scalable solution architecture 2. Map requirements to platform capabilities - Gather business requirements 1. Identify technical requirements and constraints 2. Define business goals and KPIs
Topic 5: Content and Messaging	15%	- Email design and deliverability 1. Content types and templates 2. Deliverability best practices - Multi-channel messaging 1. Personalization and dynamic content 2. SMS, push notifications, and other channels
Topic 6: Data Management and Segmentation	20%	- Data modeling 1. Contact model and data relationships 2. Data extensions vs. lists - Segmentation 1. Audience targeting and exclusion 2. Filters, queries, and SQL

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Salesforce Certified Marketing Cloud Engagement Consultant Sample Questions (Q94-Q99):

NEW QUESTION # 94
Can we connect Twilio SMS Center via Marketing Cloud Account Engagement Connector?

A. True
B. False

Answer: A

NEW QUESTION # 95
You have several white papers on your website, but you want to start gateing those and gather more and more details about prospects as they download the white papers. What is the best way to achieve this?

A. Create a form and enable progressive profiling
B. Create a form per white paper and enable progressive profiling
C. Create a form handler and enable progressive profiling
D. Create a form handler for each white paper

Answer: B

NEW QUESTION # 96
Northern Trail Outfitters wants to connect relational data into their Journey without overloading the entry data. How should they connect the data?

A. Data Relationships
B. Entry Source Data Extension
C. Contact Configuration
D. Data Designer

Answer: A

Explanation:
To efficiently pull in relational data during a journey without overloading the initial entry payload, marketers should use Data Relationships. These relationships allow Journey Builder to dynamically reference related records during a Decision Split, Lookup, or Wait Until Activity without needing to duplicate all the information at entry.

NEW QUESTION # 97
Northern Trail Outfitters (NTO) is creating a birthday journey and one of the requirements is to divert anyone who has redeemed the promotional code before reminder emails are sent on the 15th and 20th of each month.
Their transactional information, which includes redeemed promo codes, is housed in a separate data extension than the one used for journey injection. NTO needs to use an attribute-to-attribute comparison on the customer number field in the journey source and transaction data extensions.
Which activity would they use to accomplish this?

A. Decision Split Activity using both Contact and Journey Data
B. Einstein Split Activity
C. Decision Split Activity using only Journey Data
D. Decision Split Activity using only Contact Data

Answer: A

Explanation:
The requirement explicitly calls for an attribute-to-attribute comparison between the customer number field in the journey ' s entry source data extension and the customer number field in a separate transaction data extension. A Decision Split configured for ' both Contact and Journey Data ' allows the split ' s filter criteria to reference attributes from Attribute Groups configured in Contact Builder (relational, contact-scoped data such as the transaction/redemption DE) alongside the journey ' s own entry-source attributes in a single condition
- precisely the cross-DE, field-to-field comparison described. A split using only Journey Data (A) is confined to the fields present in the entry source itself and cannot reach into the separate transactional data extension. A split using only Contact Data (B) can query related, contact-linked data but loses the ability to reference journey-specific attributes in the same condition, which the scenario also implies is needed for the comparison. Einstein Split (C) is a machine-learning-driven random/predictive path allocator, not a rules- based attribute comparison tool, and is unrelated to this use case. Consultants should recognize ' compare a field in the entry source against a field in a related data extension ' as the signature use case for the combined Contact-and-Journey Data Decision Split. Reference: Journey Builder Decision Split, Data Designer Relationships, Attribute Groups.

NEW QUESTION # 98
What is possible with a trigger in engagement program?

A. File open
B. Form handler error
C. Specific email link click
D. Email link click

Answer: A

NEW QUESTION # 99
......

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