A financial services firm is ingesting sensitive customer data from an on-premise data warehouse into Data Cloud via the MuleSoft Anypoint Connector. A requirement is to mask the middle digits of all Social Security Number (SSN) fields during ingestion before the data is stored in a Data Lake Object (DLO). Which Data Cloud feature is the most efficient and secure tool for this transformation?
An e-commerce company wants to create a segment of 'High-Intent Shoppers' who have viewed a product more than three times in the last 24 hours but have not made a purchase in the last 7 days. This segment needs to be updated in near real-time to trigger cart abandonment journeys. Which combination of features should be used? (Select TWO)
A consultant is designing the data model for a subscription-based media company. They have two primary Data Lake Objects: `Subscription_Events_c` (containing start, stop, renewal events) and `User_Profiles_c` (containing user details). The goal is to create a `UnifiedSubscription_c` Data Model Object that links each user to their current subscription status. What is the correct relationship configuration to achieve this?
A travel agency, 'Global Voyages,' has activated a segment of 'Platinum Members' to Marketing Cloud Engagement. The activation includes a related attribute for the member's 'Next Upcoming Trip Destination' from a custom DMO. A journey in Marketing Cloud is designed to send destination-specific content. However, marketers report that the 'Next Upcoming Trip Destination' field is often blank in the resulting data extension, even for members who have upcoming trips. What is the most likely cause of this issue?
A university uses Data Cloud to unify student data from its Student Information System (SIS), Learning Management System (LMS), and alumni portal. The identity resolution ruleset is configured as follows: 1. Match Rule 1: Exact Match on Student ID (High Confidence) 2. Match Rule 2: Fuzzy First Name, Fuzzy Last Name, and Exact Date of Birth (Medium Confidence) 3. Reconciliation Rule: For the 'Status' field (e.g., 'Current Student', 'Alumni'), prioritize the SIS source, then the LMS, then the alumni portal. A profile from the alumni portal matches a profile from the SIS on Rule 2. What will the 'Status' of the resulting Unified Individual be?
True or False: Once a segment has been created and activated in Data Cloud, its criteria cannot be modified. A new segment must be created if changes are needed.
A consultant is using the Ingestion API to stream website engagement events into Data Cloud. The payload for each event includes a `page_url` field. The requirement is to categorize each event into 'Product Page', 'Category Page', or 'Homepage' based on the URL structure. This categorization needs to happen as the data is ingested to allow for real-time segmentation. What is the most appropriate feature to use?
A consultant needs to create a segment that includes all individuals who have an 'Open' service case and also have a Customer Lifetime Value (CLV) greater than $5,000. The CLV is not a standard field and must be calculated by summing the total value of all past orders for each individual. Which steps must be performed to enable the creation of this segment? (Select THREE)
A business user is building a segment and wants to include customers whose last website visit was within the past 30 days. They add a filter on the `WebVisit` DMO and set the `VisitDate` attribute with the operator 'Is In Last' and a value of '30 Days'. However, the segment count is zero, despite knowing that recent web visits have been ingested. What is the most likely reason for this issue?
A marketing team wants to send a real-time welcome message via a Marketing Cloud journey to any new loyalty program members as soon as they sign up. The sign-up event is captured via the Data Cloud Ingestion API. Which Data Cloud feature should be configured to listen for this event and immediately trigger the journey?