Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation. 1. Propensity to purchase 2. Has active…

The most appropriate data types should be selected for data integrity and functionality. "Propensity to purchase" is best represented as a percentage value, making the Percent type ideal. "Has active membership" is a binary true/false condition, which directly maps to the Boolean data type. A "Work email address" should use the specific Email data type, which provides semantic meaning and enables validation, distinguishing it from a generic text field. This combination ensures the data is stored correctly and is ready for use in segmentation and activation.

A. Text is less specific than Email, and URL is incorrect for an email address. This choice lacks precision.

C. Number and Text are less specific than Percent and Email. Using the most specific type is best practice.

D. This option lists three data types for three data points, but the types (Percent, Number, Email) do not correctly map to the items.

Salesforce Help. (2024). Data Cloud Data Types. "Supported Data Types" table. This document lists Percent, Boolean, and Email as distinct, available data types for mapping data into Data Cloud DMOs.

Salesforce Help. (2024). Prepare Your Data. Section: "Data Types". This guide emphasizes using the correct data type during ingestion to ensure data quality and proper functionality within Data Cloud.