Salesforce Marketing Cloud Personalization Accredited Professional Exam Practice Test

Answer : D

A Marketing Cloud Personalization web campaign includes:

Experience:

Defines the rules and personalization logic for delivering content.

Template:

Determines the design and layout of the content displayed.

Content Zone:

Specifies the location on the webpage where personalized content is rendered.

Salesforce Marketing Cloud Documentation - Web Campaign Components

Answer : C, D

Two ways to populate the Marketing Cloud Personalization catalog are:

ETL Feed (Answer C):

Upload data files to populate the catalog with batch updates.

Web SDK (Answer D):

Automatically collect catalog data during website interactions.

Salesforce Marketing Cloud Documentation - Catalog Management

Answer : C

In Marketing Cloud Personalization, the User Feed is specifically designed to integrate external system data into user profiles by leveraging identity attributes. This allows businesses to enrich user profiles with valuable information from various sources, such as CRM systems, loyalty programs, or other marketing platforms.

Here's how the User Feed works:

Identity resolution: The User Feed utilizes identity attributes, such as email addresses, customer IDs, or loyalty numbers, to match incoming data with existing user profiles in Marketing Cloud Personalization. This ensures that data is accurately associated with the correct individuals.

Data enrichment: Once a match is found, the User Feed appends the incoming data to the user's profile. This can include a wide range of attributes, such as demographics, purchase history, preferences, loyalty status, or any other relevant information from the external system.

Enhanced personalization: By enriching user profiles with data from various sources, the User Feed enables more granular segmentation, targeted campaigns, and personalized recommendations. This leads to a more relevant and engaging customer experience.

Answer : A, C

To display Einstein product recommendations via the Marketing Cloud Personalization Connector for Sales and Service Cloud, configure:

Catalog Items (Answer A):

Populate and maintain a catalog of products or content to enable recommendations.

Einstein Recipes (Answer C):

Set up personalized recommendation logic using recipes to determine which products are suggested.

Salesforce Marketing Cloud Documentation - Einstein Recommendations Integration

Answer : A, B, E

The three primary areas of data stored in Marketing Cloud Personalization are:

Shadow Catalog Information (Answer A):

Represents the product or content catalog used for personalization and recommendations.

User Behaviors (Answer B):

Tracks user actions such as visits, clicks, and purchases for behavior-based personalization.

Operational Information (Answer E):

Stores system settings, rules, and configurations necessary to support personalization and campaign management.

Salesforce Marketing Cloud Documentation - Data Architecture

Answer : B, C

Increase in Conversion Rate: Marketing Cloud Personalization enables targeted and dynamic recommendations, driving higher conversion rates.

Increase in Revenue: By improving engagement and personalization, it directly impacts overall revenue.

Answer : D

The Collaborative Filtering ingredient uses a 'people like me' algorithm to recommend products or content based on the behavior of similar users.

Reference: Salesforce Interaction Studio Recipe Ingredients Documentation.