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| Section | Objectives |
|---|---|
| Data and Audience Management | - Segmentation and audience building - Data collection and ingestion |
| Marketing Cloud Personalization Fundamentals | - Platform architecture and components - Core concepts of personalization |
| Measurement and Optimization | - Reporting and analytics - Performance optimization strategies |
| Personalization and Campaign Execution | - Experience and content personalization - Campaign setup and delivery |
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NEW QUESTION # 19
How many days after the date of upload will files be deleted from the SFTP?
Answer: A
Explanation:
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.
NEW QUESTION # 20
Which two options are valid use cases for a segment?
Choose 2 answers
Answer: A,D
Explanation:
* Users who purchased a certain value: Segments can identify high-value customers for retention or upsell campaigns.
* Users who abandoned a shopping cart: Segments track users who exhibited intent but did not complete a purchase, enabling re-engagement.
NEW QUESTION # 21
What are the three types of ingredients available for a recipe?
Answer: B,C,D
Explanation:
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"
NEW QUESTION # 22
What is the best practice naming convention for attributes?
Answer: A
Explanation:
Best practice naming convention for attributes in Interaction Studio:
* UseUpperCamelCase(e.g., FirstName, PurchaseDate).
* This ensures consistency, readability, and adherence to Interaction Studio's standards.
References:
* Salesforce Interaction Studio Developer Documentation - Attribute Naming Conventions
NEW QUESTION # 23
ETL feeds must follow explicit specifications and require which type of file format?
Answer: D
Explanation:
ETL feeds inInteraction Studiomust adhere to explicit specifications and require theCSV (Comma-Separated Values)file format.
* This format is widely used due to its simplicity and compatibility with most systems.
* The ETL process ingests data such as catalog updates or behavioral information via CSV files.
References:
* Salesforce Interaction Studio Documentation - ETL File Specifications
NEW QUESTION # 24
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