[Mar 08, 2024] Get Up-To-Date Real Exam Questions for AD7-E601 with New Materials
Updated AD7-E601 Certification Exam Sample Questions
Adobe AD7-E601 Exam Syllabus Topics:
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NEW QUESTION # 11
A food company offers monthly subscription meat boxes. People who buy bacon in the past 90 days typically spend 20% more. The company wants to use the Experience Platform to remind customers to add bacon to their upcoming subscription box to increase sales. Subscription boxes cannot be changed 2 weeks before delivery.
The company has the following data sources available to be imported:
* CRM system of customers
* Order Processing System detailing orders
* Product Catalog via Magento
* Adobe Analytics
The company uses the following tools to market to customers:
* Email
* Google Display Ads
* Facebook
* Adobe Target for personalization
How should the engineer set up the segment?
- A. Last 3 Orders Do not Contain "Bacon" AND NextDeliveryDate > 14 days AND LastWebVisit < 7 Days
- B. Last 3 Orders Do not Contain "Bacon" AND NextDeliveryDate > 14 days
- C. emailOptlnFlag = Yes AND Order Contains "Bacon* AND NextDeliveryDate > 14 days
- D. emailOptlnFlag = Yes AND Last 3 Orders Do not Contain 'Bacon" AND NextDeliveryDate > 14 days
Answer: B
Explanation:
Explanation
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
NEW QUESTION # 12
A user wants to use the AEP Ul to create an audience that includes customers who have an email address, are from the same country, and are interested in painting or drawing.
What should the user do?
- A. Drag and drop all attributes and use "AND" logic for all attributes
- B. Drag and drop painting and drawing attributes using 'AND- logic and create a container for email address and country and change the logic of ° that container to "AND"
- C. Drag and drop all attributes and use "OR" logic for all attributes
- D. Drag and drop email address and country attributes using 'AND' logic and create a container for painting and drawing and change the logic of that container to "OR"
Answer: D
Explanation:
Explanation
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-g
NEW QUESTION # 13
Which three menu options can be used to validate and monitor a destination? (Choose three.)
- A. Browse
- B. Systems View
- C. Catalog
- D. Services
- E. Overview
Answer: A,B,E
Explanation:
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. References: : Systems View : Overview : Browse
NEW QUESTION # 14
A financial services company wants to create a segment based on all people who have spent more than $400 on their credit card in the last 48 hours.
Which segment building block should be used to create this segment?
- A. A pre-existing audience of credit card spenders
- B. Credit card spent attribute
- C. An aggregate of transaction events
- D. A transaction event
Answer: C
Explanation:
Explanation
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?la
NEW QUESTION # 15
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. Analytical functions
- B. Aggregation functions
- C. Count functions
Answer: A
Explanation:
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. References: : Analytical Functions Overview
NEW QUESTION # 16
After mapping a segment to an external destination, the user notices in the dataflow run tab that some of the identities have been excluded.
What are two things that could cause this issue? (Choose two.)
- A. Some identities were not meeting consent policies
- B. Some identities were missing attributes
- C. Some identities were not enabled for activation
- D. Some identities were not recognized by the destination
Answer: A,D
Explanation:
Explanation
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
NEW QUESTION # 17
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.
- B.
- C.
- D.
Answer: B
Explanation:
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. References: : Create a Segment : Schedule Segment Export
NEW QUESTION # 18
A fast food company just bought real-time CDP. The company wants to create a new marketing campaign to encourage existing customers who do not eat breakfast at their restaurants to try their new breakfast sandwich.
The engineer logs in and sees the following profile attributes and segments already set up.
Segments
* Breakfast Eaters
* Lunch Eaters
* Dinner Eaters
* High-Value Dinners
Profile Attributes
* Favorite Location
* Favorite Breakfast Meal
* Favorite Lunch Meal
* Favorite Dinner Meal
* Last Purchase
How should the engineer create a segment to meet the customer's needs?
- A. Favorite Breakfast Meal is Null or Empty
- B. Favorite Lunch Meal is NOT Null or Empty
OR
Favorite Dinner Meal is NOT Null or Empty - C. Must Exist in Lunch Eaters
OR
Must Exist in Dinner Eaters - D. Must Not Exist in Breakfast Eaters
- E. Favorite Breakfast Meal is Nulll or Empty
AND
Answer: C
Explanation:
Explanation
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:https://experienceleague.adobe.com/docs/experience-platform/rtcdp/segmentation/segment-builder-g
NEW QUESTION # 19
The Profile is set up with the following attributes:
* EmaiLaddress
* firstName
* lastName
* CRM_id
Some customers do not provide email addresses, and some addresses may be duplicate with different CRM id's. The client wants a file to be sent to Email provider so that customers can be sent a promotional email.
Which option should the engineer choose to make sure that only a single record per email address is sent?
- A. Set up deduplication by the composite key EmaiLaddress + lastName and mark it as Mandatory
- B. Set up deduplication by the composite key EmaiLaddress + CRMJd and mark It as Mandatory
- C. Set up deduplication by the composite key EmaiLaddress + firstName
- D. Set up deduplication by the key EmaiLaddress and mark it as Mandatory
Answer: D
Explanation:
Explanation
The correct answer is C because it matches the requirement given in the question. The engineer needs to set up deduplication by the key EmailAddress and mark it as Mandatory to make sure that only a single record per email address is sent. The other options do not ensure uniqueness or are not valid keys for deduplication.
References:
https://experienceleague.adobe.com/docs/experience-platform/rtcdp/destinations/overview.html?lang=en
NEW QUESTION # 20
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?
- A. 1. Bring in member profile data from Member Hub into AEP
2. Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL.
BMOL, and Clickstream
3. Create segments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months
4. Send audiences to Facebook via s3 destination exports - B. 1. Bring in member profile information from Clickstream into AEP
2. Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL
3. Create segments in AEP based on channel - App. website, or in-store for customers who have not made purchases in the last 2 months
4. Send audiences to Facebook - C. 1. Bring in member profile data from Member Hub into AEP
2. Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL, and Clickstream
3. Create segments in AEP based on channel - App, website, or in-store for customers who have made purchases in the last 2 months
4. Send audiences to Facebook - D. 1. Bring in member profile information from Clickstream into AEP
2. Bring in transaction data (order id, purchase date, purchase amount, transaction details) - From DOL, BMOL
3. Create segments in AEP based on channel - App. website, or in-store for customers who have not made purchases in the last 2 months
4. Send audiences to Facebook via s3 destination exports
Answer: C
Explanation:
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 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
NEW QUESTION # 21
A customer wants to send out a personalized monthly reminder email to all customers that have opted in to tell them about the monthly specials.
Which attributes should be sent to the destination?
- A. Email Opt In Flag
Name - B. Email Address
Name - C. Email Address
Email Opt In Flag
Answer: B
Explanation:
Explanation
The correct answer is B because it matches the requirement given in the question. The customer wants to send out a personalized monthly reminder email, so they need to send the Email Address and Name attributes to the destination. The other options do not include both of these attributes or are irrelevant for personalization.
References:
https://experienceleague.adobe.com/docs/experience-platform/rtcdp/destinations/overview.html?lang=en
NEW QUESTION # 22
After successfully ingesting profile data from a CRM system into AER a user creates a segment using profile attributes from the same uploaded data. The Segment Ul shows an estimated audience size of zero.
Which two actions can the user take to view the correct segment size? (Choose two.)
- A. Disable and re-enable the dataset for profile
- B. Wait for the next scheduled evaluation
- C. Use on-demand evaluation
- D. Change the primary identifier of the dataset
Answer: B,C
Explanation:
Explanation
On-demand evaluation is a feature that allows users to manually trigger segment evaluation and see the updated segment size immediately. Waiting for the next scheduled evaluation is another option, as segment evaluation runs periodically based on the segment refresh interval. References: : On-demand Segment Evaluation : Segment Evaluation
NEW QUESTION # 23
What must be defined for a destination to connect policies with data labels to enable data usage enforcement for that destination?
- A. Sensitive data labels
- B. Marketing actions
- C. Governance policy
Answer: C
Explanation:
Explanation
Governance policy is a feature that allows users to define how data can be used for different destinations based on data labels and marketing actions. Data labels are tags that indicate the sensitivity or classification of data, such as PII or opt-out. Marketing actions are categories of activities that describe how data is used for a destination, such as personalization or analytics. By creating a governance policy, users can connect policies with data labels and enable data usage enforcement for that destination. References: : Governance Policy Overview : Data Labels Overview : Marketing Actions Overview : Create a Governance Policy
NEW QUESTION # 24
A company collects online transaction data from two different sources and onboards into AER The data is housed in two systems:
* Digital Order Line (DOL), which gets data at a daily batch latency
* Streaming (Web/App)
The company prefers to use Streaming data over DOL. Which method should the engineer use?
- A. Timestamp ordered
- B. Dataset precedence
- C. Identity stitching
Answer: B
Explanation:
Explanation
Dataset precedence is a feature that allows users to define how data from different datasets should be merged into a single profile based on their priority. Users can specify which dataset has higher precedence over another dataset when there is conflicting data for the same attribute. This way, the company can use Streaming data over DOL when they have online transaction data from both sources. References: : [Dataset Precedence Overview](https://experienceleague.adobe.com/docs/ex
NEW QUESTION # 25
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