Adobe AD7-E601 Practice Test - Questions Answers, Page 2

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. Reference: : Schema Overview : Data Labels Overview

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 creating segments 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. Reference: : Onboard Data into Platform : Create a Segment : Share Segments with Destinations

This is the most effective workflow to create a new segment of current customers to advertise to them through Google's Display Network to encourage them to download an exclusive white paper.

By onboarding 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 AEPCDP 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 Google Adwords, the company can activate their segment across multiple channels, such as Google's Display Network. Reference: : Onboard Data into Platform : 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 noncustomers from the segment. Reference: : Streaming Ingestion Overview : Create a Segment

This is the correct answer because AEP allows users to choose between streaming or batch evaluation for their segments depending on their segment definition and data sources. Streaming evaluation is available for segments that use streaming data sources, such as HTTP Sink Connector or Adobe Analytics Connector, and do not use any batch-only features, such as time windows or derived attributes. Batch evaluation is available for segments that use batch data sources, such as S3 Connector or FTP Connector, or use any batch-only features. Users can also switch between streaming and batch evaluation modes for their segments if they meet certain criteria. Reference:

: Segment Evaluation

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. Reference: : Create a Segment : Schedule Segment Export

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. Reference: : Analytical Functions Overview

Batch evaluation is the only segmentation evaluation mode that is allowed for a customer who brings in their data from CRM and Data Lake sources daily through Adobe Experience Platform Sources. Batch evaluation is available for segments that use batch data sources, such as S3 Connector or FTP Connector, or use any batch-only features, such as time windows or derived attributes. Batch evaluation runs periodically based on the segment refresh interval. Reference: : Segment Evaluation

This is the most suitable criteria to create a segment based on all customers who currently have a home loan with the credit union, pay through auto pay, and have logged in within the last 2 weeks but do not have a credit card issued through the credit union. By selecting customer exists within the client dataset as an attribute, the company can filter out non-customers from the segment. By selecting customer has logged in within the last 14 days as an attribute, the company can capture customers who have shown recent activity on their account. By selecting customer has a home loan with the credit union and customer has auto pay set up for paying the home loan as attributes, the company can identify customers who have a specific product and payment method with the credit union. By selecting customer has not acquired a credit card as an attribute, the company can exclude customers who already have a credit card issued through the credit union. Reference: : Create a Segment