Salesforce AP-214 Exam dumps [2026]

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Salesforce AP-214 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Social Studio10%- Social analytics and reporting
- Content management and moderation
- Social media publishing and engagement
Topic 2: Triggers7%- Data extension and trigger management
- Event-driven automation
- SOAP and REST API triggers
Topic 3: Einstein for Marketing Cloud23%- Send Time Optimization
- Einstein Copy Insights
- Einstein Engagement Frequency
- Einstein Engagement Scoring
- AI-powered personalization and prediction
Topic 4: Interaction Studio8%- Integration with other Marketing Cloud modules
- Real-time interaction management
- Personalization and decisioning capabilities
Topic 5: Mobile (SMS/Push)13%- Mobile Studio configuration and usage
- GroupConnect and WhatsApp integration
- MobilePush tools and functionalities
- MobileConnect features and capabilities
Topic 6: Journey Orchestration25%- Reporting and performance analysis
- Activities and decision splits
- Comparison between Datorama and Google Analytics
- Entry sources and audience evaluation
- Journey design and best practices
Topic 7: Ad Studio12%- Audience targeting and segmentation
- Integration with advertising platforms
- Campaign management and optimization

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Salesforce Marketing Cloud Advanced Cross Channel Accredited Professional Sample Questions (Q91-Q96):

NEW QUESTION # 91
Where are Topic Profiles configured for use in Command Center?

Answer: A


NEW QUESTION # 92
What are two ways to use Marketing Cloud Connect (MCC) and Journey Builder together to create a Welcome Journey for new contacts in Sales Cloud?

Answer: C,D


NEW QUESTION # 93
What is the recommended maximum number of activities that should be on a single journey canvas?

Answer: D


NEW QUESTION # 94
What is prerequisite for email/web recommendations: select 2

Answer: A,B

Explanation:
Understanding Email/Web Recommendations:
* Purpose:Recommendations (in email or on a website) use data about customer behavior and product information to suggest products or content that a customer is likely to be interested in.
Prerequisites:
* A. Collect Tracking Code:This is crucial. The Collect Tracking Code is a JavaScript snippet that you place on your website. It tracks user behavior (page views, product views, purchases, etc.) and sends this data to Marketing Cloud. This behavioral data is essential for generating personalized recommendations.
* B. Catalog:A catalog is a structured file (usually CSV or XML) that contains information about your products or content (e.g., product ID, name, description, price, image URL). The catalog is imported into Marketing Cloud and provides the inventory from which recommendations are drawn.
Why A and B Are Essential:
* Data-Driven Recommendations:Recommendations rely on data. The Collect Tracking Code provides behavioral data, and the catalog provides product data.
* Personalization:Without these data sources, recommendations would be generic and not personalized to individual customers.


NEW QUESTION # 95
In which section can you define fatigue rules to restrict a user from being recommended same content multiple times

Answer: A

Explanation:
Understanding Content Fatigue:
* Content fatigue occurs when subscribers receive the same or very similar content repeatedly, leading to decreased engagement or even unsubscribes.
Einstein Content Selection and Fatigue Rules:
* Einstein Content Selectionis a feature that uses AI to personalize content for each subscriber at the time of send. It takes into account subscriber preferences, past behavior, and available content assets.
* Fatigue Rules:Within Einstein Content Selection, you can define "fatigue rules" (also sometimes referred to as "exclusion rules"). These rules prevent the system from recommending the same content to a subscriber too frequently within a defined timeframe.
Why Other Options Are Incorrect:
* B. Einstein Copy Insights:Focuses on analyzing subject line performance and providing recommendations, not on managing content fatigue.
* C. Einstein Engagement Scoring:Predicts the likelihood of a subscriber engaging with emails (opening, clicking, unsubscribing). It doesn't directly control content selection or fatigue rules.


NEW QUESTION # 96
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