Salesforce Marketing-Cloud-Personalization Exam With Confidence Using Practice Dumps

Within the context of Salesforce Marketing Cloud's Interaction Studio (formerly Evergage), "recipes" are pre-built configurations for personalized recommendations. These recipes utilize different types of "ingredients" to determine which items to recommend. Let's break down the correct options:

A. Catalog-based and Trending

Verified:This is a type of ingredient used in Interaction Studio recipes.

Explanation:

Catalog-based:This ingredient leverages data from your product or content catalog. It can recommend items based on various catalog attributes like:

Category:Recommending items from the same or related categories as items the user has viewed or interacted with.

Attributes:Recommending items that share specific attributes (e.g., color, brand, size) with items the user has shown interest in.

Keywords:Recommending items whose descriptions or metadata match keywords derived from user behavior.

Trending:This ingredient considers the overall popularity or trending status of items within your catalog, often within a specific timeframe (e.g., "Trending in the last 7 days").

Salesforce Marketing Cloud References:

Interaction Studio Recipes:The Interaction Studio documentation describes the various recipe types and the ingredients they use.

B. Recommendations

Verified:This is a broad category encompassing ingredients that generate recommendations based on various algorithms.

Explanation:

Recommendation Algorithms:Interaction Studio employs different algorithms to generate recommendations, including:

Collaborative Filtering:Recommending items that similar users have liked or interacted with.

Content-Based Filtering:Recommending items that are similar in content or attributes to items the user has shown interest in.

User Affinity:Recommending items based on the user's overall affinity for particular categories, brands, or attributes, calculated from their historical interactions.

Note:"Recommendations" is a more general term. Specific recommendation ingredients might have names like "User-to-Item Affinity," "Item-to-Item Similarity," or use algorithm names directly.

C. Co-Occurrence

Verified:This is a specific type of recommendation ingredient that focuses on items frequently viewed or purchased together.

Explanation:

Co-occurrence Logic:This ingredient identifies items that are often viewed or purchased in the same session or within a short timeframe. It suggests that if a user is interested in item A, they are also likely to be interested in item B because other users have frequently interacted with both items together.

Examples:

"Customers who bought this item also bought..."

"Frequently viewed together"

Salesforce Marketing Cloud's SFTP (Simple File Transfer Protocol) is designed to securely transfer files between your system and Marketing Cloud. To optimize storage and security, files are retained for a specific period.

According to Salesforce documentation, files uploaded via SFTP are typically deleted after 30 days.This retention period is a standard setting and may vary based on specific configurations or agreements with Salesforce.

To confirm the exact retention period for your organization, it's recommended to:

Consult with your Salesforce Administrator:They can provide specific details about your organization's SFTP configuration and retention policies.

Review Salesforce Documentation:Refer to the official Salesforce Marketing Cloud documentation for the most up-to-date information on file retention policies and best practices.

By understanding the file retention policy, you can effectively manage your file transfers and ensure that your data is securely stored and accessed within the specified timeframe.

Interaction Studio checks the designated SFTP server every 15 minutes for new files to ingest. This ensures relatively up-to-date data is available for personalization and other functionalities within the platform.