Adobe Adobe Real-time CDP Technical Practitioner AD7-E601 Exam Dumps: Updated Questions & Answers (October 2025)

The correct answer is A because it matches the requirement given in the question. The user needs to drag and drop email address and country attributes using ‘AND’ logic to ensure that the customers have an email address and are from the same country. Then, the user needs to create a container for painting and drawing and change the logic of that container to “OR” to ensure that the customers are interested in either painting or drawing or both. References:https://experienceleague.adobe.com/docs/experience-platform/rtcdp/segmentation/segment-builder-guide.html?lang=en

The correct answer is C because it matches the scenario given in the question. The user needs to use an aggregate of transaction events to create a segment based on the total amount spent on their credit card in the last 48 hours. The other options do not allow the user to specify the time frame or the amount spent. References: https://experienceleague.adobe.com/docs/experience-platform/rtcdp/segmentation/segment-builder-guide.html?lang=en

This is the most effective workflow to send win-back messaging to consumers through Instagram ads based on their last purchase, whether it occurred on the organization’s App, website, or in-store. By bringing in member profile data from Member Hub into AEP, the company can leverage the profile data and identity stitching features of AEP to create a unified view of their customers. By bringing in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL, and Clickstream into AEP dataset, the company can ingest online and offline purchase data from different sources into AEP. By creatingsegments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months, the company can use the segmentation service and UI of AEP to define and evaluate their target audience based on profile attributes and behaviors. By sending audiences to Facebook via s3 destination exports, the company can activate their segment across multiple channels, such as Instagram ads. References: : Onboard Data into Platform : Create a Segment : Share Segments with Destinations

The correct answer is D because it matches the requirement given in the question. The customer wants to send out an email or text invitation, so they need to send the Name, Mobile Phone Number, and Email Address data fields to the destination. The other options do not include all of these data fields or are irrelevant for sending an invitation. References:https://experienceleague.adobe.com/docs/experience-platform/rtcdp/destinations/overview.html?lang=en

This is the most suitable workflow to contact known prospects or customers who abandon before checking out. By importing customer data into the profile, the company can enrich their profile data with CRM information, such as email address. By setting up Adobe Analytics as a source, the company can ingest online behavior data from web and app into AEP dataset. By using segmentation to find profiles with email address and visited a product page and added to cart but did not complete checkout, the company can use the segmentation service and UI of AEP to define and evaluate their target audience based on profile attributes and behaviors. By sending the segment of Abandon customers to Campaign and Target, the company can activate their segment across multiple channels, such as email, Google Display Ads, and personalization. References: : Onboard Data into Platform : Connect Adobe Analytics Data Sources : Create a Segment : Share Segments with Destinations

This is the simplest and most efficient workflow to send the communications to the current customers who have logged into their account in the last 90 days and are from Chicago, IL. By onboarding the CRM data into AEP dataset, the company can leverage the profile data and identity stitching features of AEP to create a unified view of their customers. By creating a segment in AEP-CDP that matches the business requirements, the company can use the segmentation service and UI of AEP to define and evaluate their target audience based on profile attributes and behaviors. By sharing the segment with Adobe Campaign Standard, the company can activate their segment across multiple channels, such as email, SMS, and postcard. References: : Onboard Data into Platform : Create a Segment : Share Segments with Destinations

These are two possible reasons why some identities have been excluded after mapping a segment to an external destination. Some identities were not recognized by the destination means that there was no matching identifier between AEP and the destination system. For example, if AEP sends email addresses as identifiers but the destination system expects phone numbers as identifiers, then there will be no match and those identities will be excluded. Some identities were not meeting consent policies means that there was a violation of data usage governance rules based on data labels and marketing actions. For example, if AEP sends PII data as part of a segment but the destination system is not authorized to use PII data for personalization purposes, then those identities will be excluded. References: : Identity Mapping Overview : Data Usage Governance Overview

This is the most effective workflow to send promotional discount offers to the target audience. By onboarding CRM data into AEP, the company can leverage the profile data and identity stitching features of AEP to create a unified view of their customers. By creating Adobe Analytics source connection in AEP, the company can ingest online behavior data from web and app into AEP dataset. By building and deploying a propensity score model in data science workspace, the company can use the machine learning capabilities of AEP to predict the likelihood of customers to purchase based on their profile and behavior data. By creating a segment in AEP using the propensity score, web visits, distance from store, and purchase order data attributes, the company can use the segmentation service and UI of AEP to define and evaluate their target audience based on profile attributes and behaviors. By sharing the segment with Adobe Campaign, the company can activate their segment across multiple channels, such as email, SMS, postcard, Google Display Ads, and Facebook. References: : Onboard Data into Platform : Connect Adobe Analytics Data Sources : Data Science Workspace Overview : Create a Segment : Share Segments with Destinations

This is the most suitable segment to evaluate streaming data from Adobe Analytics in real-time and filter out customers who are not in the CRM system. By basing the segment on the Adobe Analytics data source, the company can use the streaming ingestion feature of AEP to capture web activity data in near real-time. By using membership in a Customer segment, the company can use an existing segment that contains customers from the CRM system as a filter criterion to exclude non-customers from the segment. References: : Streaming Ingestion Overview : Create a Segment

Schema is the structure that allows the engineer to apply usage labels to attributes. Usage labels are tags that indicate the sensitivity or classification of data, such as PII or opt-out. By applying usage labels to attributes in a schema, the engineer can enable data usage governance for datasets that use that schema. References: : Schema Overview : Data Labels Overview