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Adobe AD7-E601 Exam Syllabus Topics:
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NEW QUESTION # 17
Which three menu options can be used to validate and monitor a destination? (Choose three.)
- A. Overview
- B. Services
- C. Catalog
- D. Systems View
- E. Browse
Answer: A,D,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 # 18
A marketer for a telecommunication company is designing a campaign for their existing customers to upgrade to the latest smartphone device. The marketer also does not want to annoy customers who have already upgraded or have not opted in for email.
Which attributes should be used to meet the requirement?
- A. hasUpgraded=false AND emailOptln=true
- B. hasUpgraded=true AND emailOptln=false
- C. hasUpgraded=True OR emailOptln=true
Answer: A
Explanation:
Explanation
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
NEW QUESTION # 19
A customer sets up a destination with deduplication enabled on phone number and has two customer records that look as shown:
Customer 1
Email: [email protected] Phone: 555 124 1234 First Name: Mary Last Name: Jones Create Date:
2//2/2012
Customer 2
Email: [email protected]
Phone: 555 124 1234
First Name: Mary
Last Name: J
Create Date: 2//2/2021
What will the destination file look like?
- A. Email, Phone, First Name, Last Name, Create Date [email protected], 555 1241234, Mary, Jones,
2//2/2012 [email protected]. 555 1241234, Mary, J, 2//2/2021 - B. Email, Phone, First Name, Last Name, Create Date [email protected], 555 124 1234, Mary J,
2//2/2021 - C. Email, Phone, First Name, Last Name, Create Date [email protected], 555 1241234, Mary, Jones,
2//2/2012
Answer: C
Explanation:
Explanation
The correct answer is C because it matches the outcome of deduplication enabled on phone number. The destination file will only include one customer record per phone number, and it will choose the record with the earliest create date. In this case, Customer 1 has an earlier create date than Customer 2, so Customer 1 will be included in the destination file and Customer 2 will be excluded. References:
https://experienceleague.adobe.com/docs/experience-platform/rtcdp/destinations/overview.html?lang=en
NEW QUESTION # 20
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 # 21
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. A segment that only looks at the Adobe Analytics data source
- B. A segment that includes all customers and any customer whose last web activity Is older than 1 hour ago
- C. A segment based on the Adobe Analytics data source and using membership in a Customer segment
Answer: C
Explanation:
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 non-customers from the segment. References: : Streaming Ingestion Overview : Create a Segment
NEW QUESTION # 22
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 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"
- B. Drag and drop all attributes and use "AND" logic for all attributes
- 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 # 23
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. emailOptlnFlag = Yes AND Order Contains "Bacon* AND NextDeliveryDate > 14 days
- B. emailOptlnFlag = Yes AND Last 3 Orders Do not Contain 'Bacon" AND NextDeliveryDate > 14 days
- C. Last 3 Orders Do not Contain "Bacon" AND NextDeliveryDate > 14 days AND LastWebVisit < 7 Days
- D. Last 3 Orders Do not Contain "Bacon" AND NextDeliveryDate > 14 days
Answer: D
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 # 24
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
- A. Combination of Batch segments evaluation depending on the segment definition
- B. Streaming evaluation for all segment definitions
- C. Batch evaluation for all segment definitions
- D. Streaming or Batch evaluation depending on the segment definition
Answer: D
Explanation:
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. References: : Segment Evaluation
NEW QUESTION # 25
A user wants to target customers who have browsed the products.com website in the last 30 days.
The available attributes are: Last_Website_Browse
Last_App_Browse Last_Activity
The available events are:
Website.Browse
App.Browse
Where can the user define time parameters for the segment?
- A. In the attribute 'Last.Activity" or the 'App.Browse'' event
- B. In the attribute "LasLWebsite.Browse" only
- C. In the destination schedule Ul
- D. In the attribute rLast.Website_Browse" or the event rWebsite_Browse"
Answer: D
Explanation:
Explanation
The correct answer is D because it matches the scenario given in the question. The user can define time parameters for the segment in the attribute "Last_Website_Browse" or the event "Website_Browse". The other options do not allow the user to specify the time frame of 30 days.
References:https://experienceleague.adobe.com/docs/experience-platform/rtcdp/segmentation/segment-builder-g
NEW QUESTION # 26
A clothing company is based in Canada. A marketer at the company wants to launch a summer sale email campaign to target customers who have browsed for any summer clothing in the last 90 days. The marketer wants to send out the campaign on August 1.
The company sells the following summer products:
* Sandals
* Swimwear
* T-shirts
* Shorts
The available attributes are: customer_hobbies email opt in
The available events are:
producLbrowse
product_category
itemjd
How should the marketer configure this campaign?
- A. For events select:
product.browse = last 90 days
product.category = Sandals. Swimwear, Tshirts, Shorts
Save the segment and schedule the export for 7/31 - B. For attributes select: email opt in = YES
For events select:
product.browse = last 90 days
product.category = Sandals, Swimwear, Tshirts, Shorts
Save the segment and schedule the export for 7/31
For attributes select: email opt in = NO - C. For events select:
item_id = 1221
product_category = Sandals, Swimwear, Tshirts, Shorts
Save the segment and schedule the export for 7/31 - D. For attributes select: email opt in = YES
For events select:
product.browse = last 90 days
producLcategory = sandals, swimwear, tshlrts. shorts
Save the segment and schedule the export for 8/1
For attributes select: email opt in = YES
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 # 27
Which structure allows the engineer to apply usage labels to attributes?
- A. Dataset
- B. Field groups
- C. Schema
Answer: C
Explanation:
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. References:: Schema Overview : Data Labels Overview
NEW QUESTION # 28
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 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 - B. 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 - C. 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 - D. 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
Answer: D
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 # 29
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. Use on-demand evaluation
- B. Wait for the next scheduled evaluation
- C. Disable and re-enable the dataset for profile
- D. Change the primary identifier of the dataset
Answer: A,B
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 # 30
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. Governance policy
- C. Marketing actions
Answer: B
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 # 31
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