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Authentic AD7-E601 Exam Dumps PDF - Jan-2024 Updated
Adobe AD7-E601 Exam Syllabus Topics:
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NEW QUESTION # 21
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?
- A. * 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 - B. * 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 - C. * 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 - D. * 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
Answer: B
Explanation:
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. References: : Create a Segment
NEW QUESTION # 22
A destination segment export is set up to send data to an email provider with the default file name. The receiving team asks for the file name to be modified to be more descriptive.
Which three options can the engineer add? (Choose three.)
- A. Date and Time
- B. Data Attribute
- C. Segment Name
- D. Counter Variable
- E. Custom Text
Answer: A,D,E
Explanation:
Explanation
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:https://experienceleague.adobe.com/docs/experience-platform/rtcdp/destinations/overview.html?lang
NEW QUESTION # 23
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. Credit card spent attribute
- B. A pre-existing audience of credit card spenders
- C. A transaction event
- D. An aggregate of transaction events
Answer: D
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 # 24
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 # 25
Which structure allows the engineer to apply usage labels to attributes?
- A. Dataset
- B. Schema
- C. Field groups
Answer: B
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 # 26
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. Must Not Exist in Breakfast Eaters
- B. Favorite Lunch Meal is NOT Null or Empty
OR
Favorite Dinner Meal is NOT Null or Empty - C. Favorite Breakfast Meal is Null or Empty
- D. Must Exist in Lunch Eaters
OR
Must Exist in Dinner Eaters - E. Favorite Breakfast Meal is Nulll or Empty
AND
Answer: D
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 # 27
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 # 28
A real-time CDP Email destination requires a hashed email address as part of the File export. The Profile is set up with an email address in plaintext.
Which selection should the engineer choose to set up the destination?
- A. Map to Email
- B. Apply transformation
- C. Pre encrypt data
Answer: C
Explanation:
Explanation
The correct answer is B because it matches the requirement given in the question. The engineer needs to select
"Enable Hashing" to hash the email address as part of the File export. The other options do not apply hashing or are not available for destination export.
References:https://experienceleague.adobe.com/docs/experience-platform/rtcdp/destinations/overview.html?lang
NEW QUESTION # 29
An e-commerce company wants to use the Experience Platform Real-time CDP to contact known prospects or customers who abandon before checking out.
The following data sources are available to be imported:
* CRM system of customers
* Adobe Analytics
* Order Processing System detailing orders
The retailer uses the following tools to market to customers:
* Email
* Google Display Ads
* Adobe Target for personalization
Known prospects are defined as people who have provided an email address.
Which workflow should be used?
- A. 1. Import customer data into the profile
2. Set up Order Processing System detailing orders
3. Use segmentation to find customers who have visited a product page and added to cart but did not order
4. Send the segment of Abandon customers to Campaign and Target - B. 1. Import customer data into the profile
2. Set up Adobe Analytics as a source
3. Use segmentation to find customers who have visited a product page and added to cart but did not complete checkout
4. Send the segment of Abandon customers to Campaign and Target - C. 1. Import customer data into the profile
2. Set up Adobe Analytics as a source
3. Use segmentation to find profiles with email address and visited a product page and added to cart but did not complete checkout
4. Send the segment of Abandon customers to Campaign and Target
Answer: C
Explanation:
Explanation
This is the most suitable workflow to contact known prospects or customers who abandon before checking out.
By importing customer data into the profile, the company can enrich their profile data with CRM information, such as email address. By setting up Adobe Analytics as a source, the company can ingest online behavior data from web and app into AEP dataset. By using segmentation to find profiles with email address and visited a product page and added to cart but did not complete checkout, 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 the segment of Abandon customers to Campaign and Target, the company can activate their segment across multiple channels, such as email, Google Display Ads, and personalization. References: : Onboard Data into Platform : Connect Adobe Analytics Data Sources : Create a Segment : Share Segments with Destinations
NEW QUESTION # 30
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 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 - B. 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 - 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 events select:
product.browse = last 90 days
product.category = Sandals. Swimwear, Tshirts, Shorts
Save the segment and schedule the export for 7/31
Answer: A
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 # 31
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. Streaming evaluation for all segment definitions
- B. Batch evaluation for all segment definitions
- C. Combination of Batch segments evaluation depending on the segment definition
- 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 # 32
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 + firstName
- B. Set up deduplication by the composite key EmaiLaddress + lastName and mark it as Mandatory
- C. Set up deduplication by the composite key EmaiLaddress + CRMJd and mark It as Mandatory
- 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 # 33
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 Address
Email Opt In Flag - B. Email Address
Name - C. Email Opt In Flag
Name
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 # 34
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 # 35
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