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Achieve The Utmost Performance In AD0-E602 Exam Pass Guaranteed [Q19-Q39]

Posted on November 29, 2023 By freedumps No Comments on Achieve The Utmost Performance In AD0-E602 Exam Pass Guaranteed [Q19-Q39]
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QUESTION 19
A retailer who is an Adobe Real-Time CDP (RTCDP) customer wants to understand the percentage split of different age groups who buy their athletic shoes to help inform which age group to reach in their next shoe marketing campaign.
Which two steps should the retailer take to analyze their shoe segment in this way using RTCDP? (Choose two.)

 
 
 
 
Two steps that the retailer should take to analyze their shoe segment in this way using RTCDP are to divide the size of each age group segment into the total sum of athletic shoe purchaser events to get percentage splits for analysis and to create multiple segments which AND each age group attribute with athletic shoe purchaser events. The first step allows the retailer to calculate the proportion of each age group among the shoe buyers, while the second step allows the retailer to create segments that include only the shoe buyers who belong to a specific age group.

QUESTION 20
An Adobe Real-Time CDP Business Practitioner needs to exclude certain opt-out events from all segments used in off-site targeting by a company data governance policy enforcer.
Which type of data usage label should be applied to this data?

 
 
 
According to the Adobe documentation, contract is a type of data usage label that indicates data that has contractual limitations on how it can be used, such as opt-out events or third-party data. Contract data can be excluded from segments used in off-site targeting by applying data usage policies that enforce data governance rules. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#dule-overview

QUESTION 21
What is an example of a profile namespace?

 
 
 
 
An example of a profile namespace is email. A profile namespace is a type or source of identity value that is used to identify a customer across different data sources. Email is a predefined profile namespace that represents the email address of a customer. Other examples of profile namespaces are Phone Number, ECID, or CRM ID

QUESTION 22
A publication who is an Adobe Real-Time CDP customer wants to reach users who filled out different forms to subscribe to newsletters on their site. When they create one segment of form 1 the size is 5,000 profiles. When they create a second segment of people who filled out form 2 the size is 10,000 profiles. However, when they create a segment that includes form 1 OR form 2, the number of subscribers is 12,000.
What explains why the segment size which includes both forms is 12,000?

 
 
 
The explanation for why the segment size which includes both forms is 12,000 is that 3,000 people filled out both form 1 and form 2. This can be derived from the following formula:
Segment size of form 1 OR form 2 = Segment size of form 1 + Segment size of form 2 – Segment size of form 1 AND form 2 Plugging in the given numbers, we get:
12,000 = 5,000 + 10,000 – Segment size of form 1 AND form 2
Solving for Segment size of form 1 AND form 2, we get:
Segment size of form 1 AND form 2 = 3,000

QUESTION 23
A Real-Time CDP Business Practitioner must create a new destination. As the final step in creating the new destination, they are unable to indicate the intent for which data will be exported to the destination.
What must they do in order to complete the new destination creation?

 
 
 
According to the Adobe documentation, if none of the predefined marketing actions match the intent for which data will be exported to the destination, the practitioner can create their own marketing action by selecting “Other” and providing a name and description for it. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/ui/destination-actions.html?lang=en#creating-a-new-marketing-action

QUESTION 24
A Real-Time Business Practitioner has to export a customer’s email address and corresponding attributes to a SFTP connection. Which destination type is recommended in this scenario?

 
 
 
According to the Adobe documentation, file based destinations are destinations that allow exporting data from Adobe Experience Platform as files to an external system or service via SFTP or Amazon S3 protocols. These destinations can export profile attributes, segment memberships, or both, using various file formats and compression methods. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/file-based.html?lang=en

QUESTION 25
A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization’s segments How should the segments be toggled on?

 
 
 
According to the Adobe documentation, to enable scheduled evaluation of segments, the practitioner must add all segments to schedule by selecting them from the Segments tab and clicking on “Add to schedule” from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/schedule-segments.html?lang=en#schedule-segments

QUESTION 26
Which feature of Real-Time CDP can be utilized to view amalgamation of all the fields contained within multiple schemas sharing the same class?

 
 
 
According to the Adobe documentation2, a union schema is a feature of Real-Time CDP that can be used to view the amalgamation of all the fields contained within multiple schemas sharing the same class. A union schema is automatically generated by the platform and reflects the latest changes in the underlying schemas. A union schema can be used to create segments or explore profiles across different datasets. Reference: 2 https://experienceleague.adobe.com/docs/experience-platform/profile/home.html?lang=en#union-schemas

QUESTION 27
A Real-time CDP business practitioner is working with a client who is requiring incoming data to appear in real time to build customer profiles.
Which data ingestion type should the Real-time CDP business practitioner recommend?

 
 
 
According to the Adobe documentation2, streaming ingestion is the type of ingestion that allows data to appear in real time in customer profiles. Streaming ingestion enables data to be ingested continuously from sources such as mobile applications, websites, or IoT devices. Streaming ingestion also supports identity stitching and profile merge policies to create unified customer profiles. Reference: 2 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#streaming-ingestion

QUESTION 28
A Real-Time CDP Business Practitioner is working with a client who requires automatic authentication Which type of ingestion should the practitioner choose?

 
 
 
According to the Adobe documentation3, batch ingestion is the type of ingestion that supports automatic authentication. Batch ingestion enables data to be ingested periodically from sources such as databases, cloud storage, or CRM systems. Batch ingestion also supports authentication methods such as OAuth 2.0, API key, or username and password. Reference: 3 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#batch-ingestion

QUESTION 29
A Real-Time CDP Business Practitioner needs to analyze a segment’s profile count. The business practitioner is interested in the number of new profiles that are part of the segment and the number of profiles that are getting removed from the segment.
Which profile status types can the practitioner use for this scenario?

 
 
 
According to the Adobe documentation, realized profiles are those that have newly qualified for a segment, while exiting profiles are those that have been removed from a segment due to no longer meeting the segment definition. These profile status types can be used to analyze the segment’s profile count over time. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-profile-count.html?lang=en#profile-status-types

QUESTION 30
An Adobe Real-Time CDP Business Practitioner wants to create a batch segment of users for a financial services client who opened account in the last rolling 30 days. The analytics team needs an updated segment count prior to a campaign launch.
What would the practitioner need to do to achieve this task?

 
 
 
According to the Adobe documentation, segment job is a feature that allows running an on-demand evaluation of segments using batch datasets and getting an updated segment count within minutes. Segment job can be used to achieve this task by selecting the segment and clicking on “Run segment job” from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-job.html?lang=en

QUESTION 31
An Adobe Real-Time CDP Business Practitioner wants to create a segment of users who have purchased an item in the last 90 days and then purchased another item 5 days later.
What type of segmentation could be used?

 
 
 
According to the Adobe documentation, sequential segmentation is a type of segmentation that allows defining a sequence of events or attributes that must occur in a specific order for a profile to qualify for a segment. This type of segmentation can be used to create a segment of users who have purchased an item in the last 90 days and then purchased another item 5 days later. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/sequential-segments.html?lang=en

QUESTION 32
An Adobe Real-Time CDP Business Practitioner receives a last-minute request from the marketing department to create segments and make them available as quickly as possible for a campaign going live tomorrow. The segments will use primarily batch datasets, which will not be evaluated for 24 hours.
How can the practitioner speed up the segment evaluation process for these segments?

 
 
 
According to the Adobe documentation, Experience Cloud Edge is a type of destination that allows sending segments to Adobe Experience Cloud solutions, such as Adobe Target and Adobe Audience Manager, in real-time. This type of destination can speed up the segment evaluation process by leveraging edge segmentation, which evaluates segments at the edge of Adobe Experience Platform, close to where data collection occurs. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/experience-cloud-edge.html?lang=en

QUESTION 33
An Real-Time CDP Business Practitioner was tasked with building a report that monitored a dataflows Activation rate. Which type of Ingestion would the practitioner need to select within the Monitoring Dashboard to meet this requirement?

 
 
 
 
According to the Adobe documentation, destinations are endpoints where data can be activated from Adobe Experience Platform, such as email service providers, social media platforms, or analytics tools. The activation rate is a metric that measures how many profiles or segments are successfully activated to a destination within a given time period. To monitor the dataflows activation rate, the practitioner would need to select destinations as the type of ingestion within the Monitoring Dashboard and view the activation metrics for each destination. Reference: https://experienceleague.adobe.com/docs/experience-platform/monitoring/ui/dashboard.html?lang=en#destinations

QUESTION 34
A Real-time CDP Business Practitioner set up a profile segment using Experience Event data on a Profile-enabled dataset on January 1, 2022. The segment size at creation was 25,000. When revisiting the segment at the end of February, the segment size decreased to 10,000.
What explains this decrease in segment size?

 
 
 
According to the Adobe documentation1, TTL (time-to-live) is a setting that determines how long data is retained in a dataset before it is deleted. If the dataset had a 30-day TTL set, then any data that was older than 30 days would be removed from the dataset, which could explain the decrease in segment size over time. Reference: 1 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#time-to-live

QUESTION 35
A financial services company with Adobe real-time CDP is able to combine data sources from their branches and online tools in real time to create one combined segment of recent account openers.
Which two strategic use cases should the financial services company explore when activating this new segment? (Choose two.)

 
 
 
 
According to the Adobe documentation, lookalike modelling is a use-case that involves creating segments of high-value customers who share similar characteristics or behaviors and using them as seeds to find new prospects who are likely to have high lifetime value (LTV). This use-case could help the financial services company acquire more profitable customers by targeting them with relevant offers. Similarly, reaching the new segment with an email campaign reminding openers to set up recurring deposits is a use-case that involves creating segments of customers who have recently opened an account and encouraging them to take actions that increase their loyalty and retention. This use-case could help the financial services company increase customer satisfaction and revenue by offering them incentives and benefits for setting up recurring deposits. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/lookalike-modeling.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/customer-reengagement.html?lang=en

QUESTION 36
A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization’s segments How should the segments be toggled on?

 
 
 
According to the Adobe documentation, to enable scheduled evaluation of segments, the practitioner must add all segments to schedule by selecting them from the Segments tab and clicking on “Add to schedule” from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/schedule-segments.html?lang=en#schedule-segments

QUESTION 37
A Real-Time CDP Business Practitioner is mapping attributes from audience data to a streaming profile export destination. They want to include Active and Expired members in subsequent incremental exports.
What field must they make sure is selected when mapping attributes?

 
 
 
 
According to the Adobe documentation, segmentMembership.status is a field that indicates the current status of a profile’s membership in a segment, such as Active, Expired, or Realized. This field must be selected when mapping attributes to a streaming profile export destination to include Active and Expired members in subsequent incremental exports. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/profile-export.html?lang=en#mapping-attributes

QUESTION 38
A Real-Time CDP Business Practitioner has a client who wants to target audiences across Facebook. To send segments to this social destination, what are the first two steps they should take? (Choose two.)

 
 
 
 
According to the Adobe documentation, the first step to send segments to Facebook is to check the Facebook account prerequisites, such as having a Facebook Business Manager account, a Facebook app ID, and a Facebook system user access token. The second step is to connect to the destination by creating a new destination of type Facebook connection and providing the required information. Reference: https://experienceleague.adob

QUESTION 39
A Real-Time CDP Business Practitioner is working with a client whose platforms are not adhering to data compliance measures. Which two must the practitioner use to enforce data governance for activating segments to platform destinations? (Choose two.)

 
 
 
 
According to the Adobe documentation, destination labels are labels that indicate the type and purpose of a destination, such as on-site or off-site, personalization or analytics, etc. Data usage policies are rules that define how data can be used based on data usage labels and destination labels. These two must be used to enforce data governance for activating segments to platform destinations by ensuring that only compatible data and destinations are allowed. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/labels/destination-labels.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/data-governance/policies/policies-overview.html?lang=en

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