Free and Premium Adobe AD7-E601 Dumps Questions Answers

Analytical functions are functions that allow users to perform complex calculations on data within a segment definition. For example, users can use analytical functions to calculate averages, sums, counts, ranks, percentiles, and more. Analytical functions can help users create more advanced segments based on derived metrics or attributes. References: : Analytical Functions Overview

The correct answer is C because it matches the requirement given in the question. The engineer needs to create a segment that excludes customers who eat breakfast at their restaurants. The easiest way to do this is to use the existing segments and select “Must Not Exist in Breakfast Eaters”. The other options do not exclude all breakfast eaters or are too complicated. References:

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 B because it matches the outcome of deduplication enabled on the composite key companyEmail + IName + mobilePhone. The destination file will only include one customer record per composite key, and it will choose the record with the latest data if there is a conflict. In this case, Customer 2 has a newer officePhone number than Customer 1, so Customer 2 will be included in the destination file and Customer 1 will be excluded. References:

The correct answers are A, B, and C because they are valid options that can be added to modify the file name. The engineer can add date and time, counter variable, or custom text to make the file name more descriptive. The other options are not available or relevant for modifying the file name. References:

This is the most suitable criteria to meet the requirement of sending 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 selecting hasUpgraded=false as an attribute, the company can filter out customers who have already upgraded to the latest smartphone device. By selecting emailOptln=true as an attribute, the company can filter out customers who have not opted in for email communications. References: : Create a Segment

This is the most suitable workflow to send personalized offers to existing customers who are within 50 miles of their nearest store, have made one of the following: visits to the website more than 3 times in the last 2 weeks, purchase of items worth more than $200 in the last 2 months,or have high propensity to purchase. 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 a segment in Adobe Target for visitors with high propensity score to purchase, the company can use the personalization capabilities of Adobe Target to predict the likelihood of customers to purchase based on their profile and behavior data. By importing the segment in AEP and combining it with 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 across Adobe Experience Cloud, the company can activate their segment across multiple channels, such as email, Google Display Ads, Facebook, and personalization. References: : Onboard Data into Platform : Create a Segment in Adobe Target : 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

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 appropriate workflow to launch a summer sale email campaign to target customers who have browsed for any summer clothing in the last 90 days. By selecting email opt in = YES as an attribute, the company can filter out customers who have not consented to receive email communications. By selecting product.browse = last 90 days and product.category = Sandals, Swimwear, Tshirts, Shorts as events, the company can capture customers who have shown interest in summer products recently. By saving the segment and scheduling the export for 7/31, the company can ensure that the segment is up to date and ready to be sent out on August 1. References: : Create a Segment : Schedule Segment Export