Marketing-Cloud-Personalization最新題庫資源，最新Marketing-Cloud-Personalization考證

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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

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

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最新的 Accredited Professional Marketing-Cloud-Personalization 免費考試真題 (Q117-Q122):

問題 #117
How does Guardian determine the expected range for a given metric?

A. Guardian uses continuous machine learning to set predict the expected range
B. Guardian comes with pre-built ranges for each metric, which cannot be configured
C. Guardian uses upper and lower bounds set by the user for each metric.
D. Guardian queries the Data warehouse to establish logical the expected ranges

答案：D

問題 #118
What two features of Marketing cloud Personalization can be used in an open-time email Campaign?

A. Recipe
B. Promotion
C. Attribute
D. Survey

答案：A,B

問題 #119
What are three ways segments are used in marketing cloud personalization?

A. Analytics, trends and engagement
B. Creating related lists within Salesforce CRM
C. Targeting for campaigns
D. Recommending products
E. Set goal and filtersb)

答案：A,C,D

解題說明：
* Recommending Products: Segments enable personalized recommendations based on user behavior and preferences.
* Targeting for Campaigns: Segments define audiences for specific campaigns, ensuring relevance and higher engagement.
* Analytics, Trends, and Engagement: Segments provide insights into user behavior, enabling trend analysis and engagement tracking.

問題 #120
Which scenario is a valid interaction studio use case?

A. Recommendations in email which are personalized at open time
B. Machine learning driven insights within a customer database
C. Recommendations in email which are personalised at send time
D. Behavioural targeting with 3rd party audience data

答案：A

問題 #121
If you want to compare the completion of two objectives based on a filter, what report would you use?

A. Visitor behaviour report
B. Referring sources report
C. Goal comparison report
D. Goal completion report

答案：C

問題 #122
......

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