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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Segmentation	18%	- Reporting and analytics - Journey Builder segment listener - Segment export - Segment overview - Segment rules - Filters and goals
Topic 2: Setup & Administration	6%	- User attributes management - Identity system configuration - Initial setup process
Topic 3: Sitemap	18%	- Web SDK implementation - Overview and best practices - Catalog and page mapping - Content zones - Unified customer profile
Topic 4: Data Integration	14%	- Data flows in and out of the system - Event API - ETL feed system - Salesforce Connector
Topic 5: Activation	18%	- Delivery channels - Personalization campaigns - Campaign testing and optimization - Content creation and management
Topic 6: Solution Overview	16%	- Product terminology - Core components of standard implementation - Typical use cases - Business value of real-time interaction management - Definition of Marketing Cloud Personalization
Topic 7: Einstein Capabilities	10%	- Einstein recipes - Recipe ingredients

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q114-Q119):

NEW QUESTION # 114
What are Marketing Cloud Personalization's machine learning powered algorithms called?

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

Answer: B

NEW QUESTION # 115
A brand's website is seeing high traffic but much of the behaviour is anonymous. How does IS unify anonymous identifies?

A. IS users third party software to match anonymous and knows identifies
B. IS uses probability matching to determine if two or more profiles represent for user identity
C. IS constantly monitors identifying information then user determines matching to determine if two or more profiles identify
D. IS synchronise anonymous and knows profiles once a day based or online traffic and data offer sources

Answer: B

Explanation:
* Employingprobabilistic matching algorithmsto evaluate whether multiple anonymous profiles belong to the same user.
* Merging profiles when sufficient data overlap or identifying information becomes available, allowing for a seamless personalized experience.
References:
* Salesforce Interaction Studio Documentation - Profile Unification

NEW QUESTION # 116
How many total global goals and filters can you define for your dataset in Marketing Cloud Personalization?

A. 300 total between filters and goals
B. 64 total between filters and goals
C. 25 filters and 25 goals
D. Unlimited

Answer: B

NEW QUESTION # 117
Which development language is used to code the sitemap?

A. Ampscript
B. Javascript
C. Python
D. jQuery

Answer: B

NEW QUESTION # 118
Which data feed integrates purchase data into a profile in interaction studio?

A. Interaction feed
B. Catalog feed
C. Transaction feed
D. Conversion feed

Answer: C

NEW QUESTION # 119
......

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