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

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Question 11

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Which three menu options can be used to validate and monitor a destination? (Choose three.)

Systems View
Systems View
Catalog
Catalog
Overview
Overview
Browse
Browse
Services
Services
Suggested answer: A, C, D

Explanation:

These are three menu options that can be used to validate and monitor a destination. Systems View allows users to see the status of dataflows between sources and destinations, as well as any errors or warnings. Overview allows users to see the basic information and settings of a destination, such as name, description, type, and activation status. Browse allows users to see the segments that have been shared with a destination, as well as their size and export status. Reference: : Systems View : Overview : Browse

asked 02/10/2024
Stefan Duerr
26 questions

Question 12

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Which structure allows the engineer to apply usage labels to attributes?

Schema
Schema
Dataset
Dataset
Field groups
Field groups
Suggested answer: A

Explanation:

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

asked 02/10/2024
Simon Sawal
31 questions

Question 13

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A marketer wants the ability 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.

The marketer has the following data sources available to be imported:

• Member Hub

• Digital Order Line (DOL)

• Brick Mortar Order Line (BMOL)

• Clickstream

How should the Experience Platform be set up?

Bring in member profile data from Member Hub into AEP
Bring in member profile data from Member Hub into AEP
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL. BMOL, and Clickstream
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL. BMOL, and Clickstream
Create segments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months
Create segments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months
Send audiences to Facebook via s3 destination exports
Send audiences to Facebook via s3 destination exports
Bring in member profile information from Clickstream into AEP
Bring in member profile information from Clickstream into AEP
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL
Create segments in AEP based on channel - App. website, or in-store for customers who have not made purchases in the last 2 months
Create segments in AEP based on channel - App. website, or in-store for customers who have not made purchases in the last 2 months
Send audiences to Facebook via s3 destination exports
Send audiences to Facebook via s3 destination exports
Bring in member profile data from Member Hub into AEP
Bring in member profile data from Member Hub into AEP
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL, and Clickstream
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL, and Clickstream
Create segments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months
Create segments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months
Send audiences to Facebook
Send audiences to Facebook
Bring in member profile information from Clickstream into AEP
Bring in member profile information from Clickstream into AEP
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL
Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL
Create segments in AEP based on channel - App. website, or in-store for customers who have not made purchases in the last 2 months
Create segments in AEP based on channel - App. website, or in-store for customers who have not made purchases in the last 2 months
Send audiences to Facebook
Send audiences to Facebook
Suggested answer: C

Explanation:

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

asked 02/10/2024
Nicholas Roy
43 questions

Question 14

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A company wants 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. The company wants to limit this segment to only include customers after they have watched one video from the company's gated knowledge center, and who have contracts that expire in 3 months.

The company has mar-tech tools and services with which they track and communicate with clients:

• Adobe Analytics

• Adobe Experience Platform

• Adobe Campaign Standard

• Adobe Experience Manager

• CRM

• Google Adwords Account Which steps should the company take to advertise?

Onboard the CRM data into the AEP dataset Create a segment in Analytics that matches the business requirements and send to AEP dataset Share the segment with Google Adwords
Onboard the CRM data into the AEP dataset Create a segment in Analytics that matches the business requirements and send to AEP dataset Share the segment with Google Adwords
Onboard the CRM data Into the AEP dataset Create a segment in AEP-CDP that matches the business requirements Share the segment with Google Adwords
Onboard the CRM data Into the AEP dataset Create a segment in AEP-CDP that matches the business requirements Share the segment with Google Adwords
Onboard the CRM data into Adobe Analytics Create a segment in AEP-CDP that matches the business requirements Share the segment with Google Adwords
Onboard the CRM data into Adobe Analytics Create a segment in AEP-CDP that matches the business requirements Share the segment with Google Adwords
Suggested answer: B

Explanation:

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

asked 02/10/2024
Martin Lundgren
39 questions

Question 15

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A retailer wants to create a segment of existing customers who have browsed the website in the past hour. The web activity is being sourced from Adobe Analytics in real-time streaming, and the customer list comes daily as batch from the CRM system.

Which segment should the engineer create to evaluate streaming?

A segment that includes all customers and any customer whose last web activity Is older than 1 hour ago
A segment that includes all customers and any customer whose last web activity Is older than 1 hour ago
A segment that only looks at the Adobe Analytics data source
A segment that only looks at the Adobe Analytics data source
A segment based on the Adobe Analytics data source and using membership in a Customer segment
A segment based on the Adobe Analytics data source and using membership in a Customer segment
Suggested answer: C

Explanation:

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

asked 02/10/2024
Mario Peralta
36 questions

Question 16

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A customer is bringing in data through the following AEP Source Connectors:

• HTTP Sink Connector via streaming for transaction data

• S3 Connector for their batch Profile data coming from a Data Lake Which segmentation evaluation is allowed9

Batch evaluation for all segment definitions
Batch evaluation for all segment definitions
Streaming evaluation for all segment definitions
Streaming evaluation for all segment definitions
Combination of Batch segments evaluation depending on the segment definition
Combination of Batch segments evaluation depending on the segment definition
Streaming or Batch evaluation depending on the segment definition
Streaming or Batch evaluation depending on the segment definition
Suggested answer: D

Explanation:

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

asked 02/10/2024
Sivagami Narayanan
49 questions

Question 17

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A company launches a Facebook campaign with a custom landing page that was supposed to give a $50 voucher to customers who order within 2 hours of clicking on the link. The web developers forgot to add the tracking code to the checkout process, so the company does not know who ordered from the Facebook campaign-How should an engineer create the segment?

A)

Adobe AD7-E601 image Question 17 92575 10022024174936000000

B)

Adobe AD7-E601 image Question 17 92575 10022024174936000000

C)

Adobe AD7-E601 image Question 17 92575 10022024174936000000

D)

Adobe AD7-E601 image Question 17 92575 10022024174936000000

Option A
Option A
Option B
Option B
Option C
Option C
Option D
Option D
Suggested answer: B

Explanation:

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

asked 02/10/2024
Lee Michael
40 questions

Question 18

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A company launches a Facebook campaign with a custom landing page that was supposed to give a $50 voucher to customers who order within 2 hours of clicking on the link. The web developers forgot to add the tracking code to the checkout process, so the company does not know who ordered from the Facebook campaign-How should an engineer create the segment?

Aggregation functions
Aggregation functions
Analytical functions
Analytical functions
Count functions
Count functions
Suggested answer: B

Explanation:

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

asked 02/10/2024
Pouyan Bani Shahabadi
32 questions

Question 19

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A customer brings in their data from CRM and Data Lake sources daily through Adobe Experience Platform Sources. Which Segmentation(s) evaluation is allowed?

Batch Evaluation
Batch Evaluation
Streaming Evaluation
Streaming Evaluation
Batch and Streaming Evaluation
Batch and Streaming Evaluation
Suggested answer: A

Explanation:

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

asked 02/10/2024
Christophe RUIZ
36 questions

Question 20

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A credit union wants 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.

Which criteria does the engineer need to create this segment?

• Customer exists within the client dataset• Customer has logged in within the last 30 days• Customer has a home loan with the credit union• Customer has auto pay set up for paying the home loan• Customer acquired a credit card in the last 30 days
• Customer exists within the client dataset• Customer has logged in within the last 30 days• Customer has a home loan with the credit union• Customer has auto pay set up for paying the home loan• Customer acquired a credit card in the last 30 days
• Customer exists within the client dataset• Customer has logged in within the last 30 days• Customer has a home loan with the credit union• Customer pays by check for their home loan• Customer acquired a credit card in the last 30 days
• Customer exists within the client dataset• Customer has logged in within the last 30 days• Customer has a home loan with the credit union• Customer pays by check for their home loan• Customer acquired a credit card in the last 30 days
• Customer exists within the client dataset• Customer has logged in within the last 14 days• Customer has a home loan with the credit union• Customer has auto pay set up for paying the home loan• Customer has not acquired a credit card
• Customer exists within the client dataset• Customer has logged in within the last 14 days• Customer has a home loan with the credit union• Customer has auto pay set up for paying the home loan• Customer has not acquired a credit card
• Customer exists within the client dataset• Customer has logged in within the last 14 days• Customer has a home loan with the credit union• Customer pays by check for their home loan• Customer has not acquired a credit card
• Customer exists within the client dataset• Customer has logged in within the last 14 days• Customer has a home loan with the credit union• Customer pays by check for their home loan• Customer has not acquired a credit card
Suggested answer: C

Explanation:

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

asked 02/10/2024
Tresor Garcia
40 questions
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