Marketing-Cloud-Personalization受験準備、Marketing-Cloud-Personalization勉強ガイド

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Salesforce Marketing-Cloud-Personalization Exam Syllabus Topics:

SectionWeightObjectives
Data Model & Configuration20%- Set up user profiles and visitor identification
- Configure data ingestion methods (API, SDK, integrations)
- Implement event data collection and tracking
- Manage dataset settings and configurations
- Configure business logic elements (Objects, Attributes, Catalog)
Campaigns & Experiences28%- Create and manage in-app and mobile experiences
- Configure personalization through decision logic
- Set up A/B testing and multivariate testing
- Build and configure web campaigns and experiences
- Implement campaign triggers and targeting rules
- Use templates and creative assets
Reporting & Analytics13%- Configure conversion tracking
- Interpret campaign performance reports
- Analyze campaign effectiveness metrics
- Use built-in dashboards and analytics tools
Audience Management20%- Create and use filters and audiences in campaigns
- Build and manage segments and audiences
- Configure rules-based and predictive audiences
- Implement real-time audience segmentation
- Use affinity and behavioral data for targeting
Administration & Governance12%- Manage API access and integrations
- Manage user roles and permissions
- Implement security and data privacy controls
- Configure system settings and preferences
Product Overview7%- Identify use cases for Marketing Cloud Personalization
- Explain the core concepts and value of the platform
- Describe how Marketing Cloud Personalization integrates with other Marketing Cloud products

>> Marketing-Cloud-Personalization受験準備 <<

Marketing-Cloud-Personalization勉強ガイド & Marketing-Cloud-Personalization復習教材

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Salesforce Marketing Cloud Personalization Accredited Professional Exam 認定 Marketing-Cloud-Personalization 試験問題 (Q31-Q36):

質問 # 31
Which two successs metrics can a company achieve with IS their web channel?

正解：A、B


質問 # 32
A marketer would like to display the most common products purchased by previous buyers along with the main item on a product page, which ingredient would they need to use in the recipe?

正解：C

解説：
* TheCo-Buyingredient in a recipe identifies and displays products commonly purchased together.
* On a product page, it can recommend complementary items based on the main product being viewed.
References:
* Salesforce Interaction Studio Documentation - Recipes and Ingredients


質問 # 33
The sitemap provides the functionality that enables IS to identify which three items?

正解：A、B、E

解説：
A sitemap inInteraction Studioenables IS to identify key components on a website for personalization purposes, including:
* Page Types (Answer A):
* Classifies different types of pages (e.g., product pages, category pages).
* Content Zones (Answer B):
* Defines areas of the webpage where personalized content can be displayed.
* Attributes (Answer C):
* Captures metadata about pages and elements, such as product details or user behavior.
References:
* Salesforce Interaction Studio Documentation - Sitemaps


質問 # 34
What are the three primary areas of data stored in IS which represent a company's key business informative?

正解：C、D、E


質問 # 35
What would a marketer include in a Recipe if they don ' t want to display recommendations for products priced less than $15?

正解：D

解説：
To prevent recommendations for products priced under $15 in a Marketing Cloud Personalization recipe, marketers should utilize the Exclusion ingredient. This powerful feature allows for fine-grained control over recommendations by specifying criteria that disqualify certain items from being suggested.
Here ' s how the Exclusion ingredient works:
Defining exclusion criteria: Within the recipe, marketers can define specific criteria that exclude products from the recommendation set. In this case, the exclusion criterion would be " price less than $15. " Filtering recommendations: When the recipe generates recommendations, the Exclusion ingredient filters out any products that meet the defined criteria. This ensures that only products priced $15 or higher are included in the final recommendations.
Flexibility: Exclusions can be based on various product attributes or dimensions, providing flexibility in tailoring recommendations. This allows marketers to create highly targeted recommendations that align with campaign goals and customer preferences.


質問 # 36
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