After successfully ingesting profile data from a CRM system into AER a user creates a segment using
profile attributes from the same uploaded dat
a. 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.)
BC
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. Reference: :
On-
demand Segment Evaluation
:
Segment Evaluation
A company collects customer mobile numbers into AEP from multiple sources. One of the sources
does not provide reliable dat
a. The company will only use the unreliable data source as a backup source.
Which AEP feature should be used to meet this requirement?
C
Explanation:
Merge policy is a feature that allows users to define how data from different sources should be
merged into a single profile. Users can specify the priority of data sources and the rules for resolving
conflicts. This way, the company can use the unreliable data source as a backup source only when the
other sources do not provide the mobile number. Reference: :
Merge Policy Overview
:
Merge Policy
UI
What must be defined for a destination to connect policies with data labels to enable data usage
enforcement for that destination?
B
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. Reference: :
Governance Policy Overview
:
Data Labels
Overview
:
Marketing Actions Overview
:
Create a Governance Policy
A B2B company wants to invite current customers who have logged into their account in the last 90
days to its local roundtable event in Chicago, IL through a personalized postcard, SMS Text Message,
and email invitation:
The B2B company has client information available in the following data sources:
• Adobe Analytics
• Adobe Experience Platform
• Adobe Audience Manager
• Adobe Campaign Standard
• Adobe Experience Manager
• CRM
Which steps should the B2B company take to send the communications?
A.
1. Ingest the CRM data into Analytics
2. Create segment for clients who have logged in within the last 90 days from Chicago, IL In Analytics
send data into AEP dataset
3. Create segment in AEP-CDP that matches business requirements
4. Share the segment with Adobe Campaign Standard
B.
1. Ingest the CRM data into Analytics and Audience manager
2. Create segment for clients who have logged in within the last 90 days in Analytics and send data
into AEP dataset
3. Create segment for clients who are from Chicago, IL in Audience Manager and send into AEP
dataset
4. Make sure profile merge policies use current data in AEP
5. Create segment in AEP-CDP that matches business requirements
6. Share the segment with Adobe Campaign Standard
C.
1. Ingest the CRM data into Analytics and Audience manager
2. Create segment for clients who have logged in within the last 90 days in Analytics and send data
into AEP dataset
3. Create segment for clients who are from Chicago, IL in Audience Manager and send Into AEP
dataset
4. Make sure profile merge policies use current data in AEP
5. Create segment in AEP-CDP that matches business requirements
6. Share the segment with Adobe Campaign Standard
D.
1. Onboard the CRM data into AEP dataset
2. Create segment in AEP-CDP that matches business requirements
3. Share the segment with Adobe Campaign Standard
D
Explanation:
This is the simplest and most efficient workflow to send the communications to the current
customers who have logged into their account in the last 90 days and are from Chicago, IL. By
onboarding the 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 AEP-
CDP 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 Adobe Campaign Standard, the company can activate their segment across
multiple channels, such as email, SMS, and postcard. Reference: :
Onboard Data into
Platform
:
Create a Segment
:
Share Segments with Destinations
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 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
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 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
A
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. Reference: :
Onboard Data into
Platform
:
Connect Adobe Analytics Data Sources
:
Create a Segment
:
Share Segments with
Destinations
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?
C
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. Reference: : [Dataset Precedence Overview](
https://experienceleague.adobe.com/docs/ex
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?
D
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.
Reference: :
Onboard Data into Platform
:
Connect Adobe Analytics Data Sources
:
Data Science
Workspace Overview
:
Create a Segment
:
Share Segments with Destinations
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.)
AD
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.
Reference: :
Identity Mapping Overview
:
Data Usage Governance Overview
A global retailer wants to send promotional discount offers to the following:
Existing customers who are:
• Within 50 miles of their nearest store
• Have made one of the following:
• Visits to the website more than 3 times in the last 2 weeks
• Purchase of items worth more than $200 in the last 2 months
• Have high propensity to purchase
This offer will be sent via SMS if the customer has subscribed to SMS. Otherwise, the offer will be
sent via email.
They have made the following digital investment:
• Adobe Experience Platform
• Adobe Audience Manager
• Adobe Analytics
• Adobe Campaign
• Adobe Target
• Adobe Advertising Cloud
• CRM
Which steps should the retailer take to meet the requirement?
A.
1. Onboard CRM data into AEP
2. Create Adobe Analytics and AAM source connection in AEP
3. Create segment in Adobe Target for visitors with high propensity score to purchase
4. Import segment in AEP and combine with web visits, distance from store, and purchase order data
attributes
5. Share segment with Adobe Advertising Cloud
B.
1. Onboard CRM data into AEP
2. Create Adobe Analytics source connection In AEP
3. Share AEP data with AAM
4. Use Look-Alike Modeling in AAM to create the segment
5. Share segment with Target and Campaign
C.
1. Onboard CRM data into AEP
2. Create segment in Adobe Target for visitors with high propensity score to purchase
3. Import segment in AEP and combine with web visits, distance from store, and purchase order data
attributes
4. Share segment across Adobe Experience Cloud
D.
1. Onboard CRM data into AEP
2. Create Adobe Analytics source connection In AEP
3. Build and deploy a propensity score model in data science workspace
4. Create segment in AEP using the propensity score, web visits, distance from store, and purchase
order data attributes
5. Share segment with Adobe Campaign
C
Explanation:
This is the most suitable workflow to send personalized offers to existing customers who are within
50 miles of their nearest store, have made one of the following: visits to the website more than 3
times in the last 2 weeks, purchase of items worth more than $200 in the last 2 months, or have high
propensity to purchase. 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 a
segment in Adobe Target for visitors with high propensity score to purchase, the company can use
the personalization capabilities of Adobe Target to predict the likelihood of customers to purchase
based on their profile and behavior dat
a. By importing the segment in AEP and combining it with 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 across Adobe Experience Cloud, the company can activate their segment across multiple
channels, such as email, Google Display Ads, Facebook, and personalization. Reference: :
Onboard
Data into Platform
:
Create a Segment in Adobe Target
:
Create a Segment
:
Share Segments with
Destinations
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
producLcategory = sandals, swimwear, tshlrts. shorts
Save the segment and schedule the export for 8/1
For attributes select: email opt in = YES
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:
product.browse = last 90 days
product.category = Sandals. Swimwear, Tshirts, Shorts
Save the segment and schedule the export for 7/31
D.
For events select:
item_id = 1221
product_category = Sandals, Swimwear, Tshirts, Shorts
Save the segment and schedule the export for 7/31
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
Which three menu options can be used to validate and monitor a destination? (Choose three.)
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
Which structure allows the engineer to apply usage labels to attributes?
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
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 via s3 destination exports
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
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
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?
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 AEP-
CDP 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
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?
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 non-
customers from the segment. Reference: :
Streaming Ingestion Overview
:
Create a Segment