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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Einstein Capabilities	10%	- Einstein recipes - Ingredients and recommendation tuning
Topic 2: Data Integration	14%	- Data flows in and out of Marketing Cloud Personalization - Event API - ETL feed system - Salesforce Connector
Topic 3: Sitemap	18%	- Unified customer profile - Content zones - Web SDK implementation - Catalog and page mapping
Topic 4: Activation	18%	- A/B Testing - Server-side campaigns - Email and mobile campaigns
Topic 5: Setup & Administration	6%	- Initial platform setup - User attributes and identity system
Topic 6: Segmentation	18%	- Goals and reporting - Journey Builder segment listener - Segment rules and filters - Export segments
Topic 7: Solution Overview	16%	- Core components and terminology - Real-time Interaction Management (RTIM) value and use cases - Marketing Cloud Personalization fundamentals

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Salesforce Marketing Cloud Personalization Accredited Professional Exam Sample Questions (Q105-Q110):

NEW QUESTION # 105
What is the interaction studio terminology for the collection of products and content as well as related categories and tags - such as brand, gender, style, keyword and author?

A. Catalog
B. Dimensions
C. Directory
D. Channel

Answer: B

NEW QUESTION # 106
When configuring a new Identity Attribute which setting would you use if the attribute is unique to an indivdual across the entire dataset?

A. Identity Namespace
B. Identity String
C. Unique
D. Not Unique

Answer: C

NEW QUESTION # 107
A brand wants to view campaign performance of specific groups of users. How would they view this within the platform?

A. Use engagement compare functionality to see the differences in key metrics and behaviours
B. Use a segment to setup a filter, then use the filter in campaign statistics
C. Use a segment to specify certain actions, which can be set as the goal for a campaign
D. Use a segment to set a global goal

Answer: B

Explanation:
To view campaign performance for specific groups of users:
* Create a Segment:
* Define the group of users based on specific attributes or behaviors.
* Set Up a Filter:
* Use the segment as a filter.
* Apply in Campaign Statistics:
* Use this filter in campaign statistics to analyze performance metrics for the selected user group.
References:
* Salesforce Interaction Studio Documentation - Campaign Reporting

NEW QUESTION # 108
What are IS machine learning powered algorithms called?

A. Machine Learning Tools
B. Einstein Decisions
C. Einstein Recipe
D. Data Science Workbends

Answer: C

NEW QUESTION # 109
Which three components of a server side campaign must be coded by a developer?

A. Content Selection
B. Parsing the JSON Response
C. Tracking of campaign statisticsd
D. EVENT API Request
E. Campaign Setip

Answer: A,B,D

Explanation:
* Parsing the JSON Response: Developers need to process the JSON response from the server to render the appropriate campaign content.
* Content Selection: Logic for dynamically selecting and displaying content based on campaign rules must be implemented.
* EVENT API Request: Developers use the Event API to send data to Interaction Studio for real-time personalization.

NEW QUESTION # 110
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