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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

Section	Weight	Objectives
Segmentation	18%	- Journey Builder segment listener - Segment overview - Reporting and analytics - Segment export - Filters and goals - Segment rules
Setup & Administration	6%	- Identity system configuration - User attributes management - Initial setup process
Activation	18%	- Content creation and management - Delivery channels - Campaign testing and optimization - Personalization campaigns
Einstein Capabilities	10%	- Recipe ingredients - Einstein recipes
Sitemap	18%	- Catalog and page mapping - Content zones - Web SDK implementation - Overview and best practices - Unified customer profile
Data Integration	14%	- Event API - Salesforce Connector - ETL feed system - Data flows in and out of the system
Solution Overview	16%	- Typical use cases - Product terminology - Business value of real-time interaction management - Definition of Marketing Cloud Personalization - Core components of standard implementation

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
How often does Marketing Cloud Personalization poll the SFTP for new files for ingestion?

A. Daily
B. Every 15 minutes
C. Immediately
D. Hourly

Answer: D

Explanation:
Marketing Cloud Personalization polls the SFTP for new files everyhour. This ensures that any uploaded data files are processed and ingested into the system in a timely manner for real-time personalization.
Reference: Salesforce Marketing Cloud Personalization SFTP Ingestion Documentation.

NEW QUESTION # 69
How are anonymous visitors tracked?

A. Interaction studio assigns a unique alphanumeric identifier using a 3rd party cookie
B. The browser assigns a 3rd party cookie
C. Interaction studio assigns a unique alphanumeric identifier using a first-party cookie
D. The customer must assign a unique alphanumeric identifier using a first-party cookie

Answer: C

NEW QUESTION # 70
What are Marketing Cloud Personalization's machine learning powered algorithms called?

A. Einstein Recipes
B. Machine Learning Tools
C. Data Science Workbench
D. Einstein Decisions

Answer: A

Explanation:
Marketing Cloud Personalization'smachine learning-powered algorithmsare referred to asEinstein Recipes.
* They enable personalized recommendations and decisions by combining machine learning models with business logic.
* Marketers can customize these recipes to optimize recommendations based on specific use cases.
References:
* Salesforce Interaction Studio Documentation - Einstein Recipes

NEW QUESTION # 71
Which three components of a recipe are optional when configuring a new algorithm?

A. Exclusions
B. Ingredients
C. Decisions
D. Boosters
E. Variation

Answer: A,D,E

Explanation:
When configuring a new recipe algorithm, the following components are optional:
* Boosters (Answer D):
* Allows prioritizing specific items based on business goals, such as promoting higher-margin products.
* Exclusions (Answer E):
* Filters out certain items or categories from being recommended.
* Variation (Answer C):
* Enables A/B testing by creating multiple variations of a recipe to optimize performance.
References:
* Salesforce Interaction Studio Documentation - Recipe Configuration

NEW QUESTION # 72
Where can a developer access pre-built Global Templates?

A. Templates menu under the web Campaign menu in the U
B. From code examples in developer docs
C. View List Template option in the Launcher
D. From the Templates list when building a campaign

Answer: A

NEW QUESTION # 73
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