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Free AD0-E602 Exam Braindumps (page: 4)

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PDF with 50 Questions

An Adobe Real-time CDP customer is currently experiencing a low match rate with the Google DV360 connection when sharing cookie-based website retargeting audiences due to users visiting their website from a Safari browser. This customer also has a 70% authentication rate on their website with users logging in with an email address.
What could an Adobe Real-time CDP business practitioner suggest to improve the reach of the customer's website retargeting audiences with Google?

  1. Only send users who have visited the website using another browser (e.g. Chrome)
  2. Share the segment using the Google Customer Match connection using hashed email addresses as the target identity
  3. Share the segment using the Google Customer Match connection using ECID as the target identity

Answer(s): B

Explanation:

According to the Adobe documentation, Google Customer Match is a type of destination that allows matching profiles based on hashed email addresses, phone numbers, or user IDs with Google users across various Google services, such as Search, YouTube, Gmail, and Display & Video 360 (DV360). This type of destination can improve the match rate for website retargeting audiences, especially for users who visit the website from browsers that block third-party cookies, such as Safari.


Reference:

https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/google- customer-match.html?lang=en



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?

  1. Evaluate the segment on-demand using the Segment Service API
  2. Evaluate the segment on-demand using the Segment Query Service
  3. Evaluate the segment on-demand using the Experience Cloud Edge

Answer(s): C

Explanation:

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



An entertainment company and Adobe Real-Time CDP customer wants to message subscribers on the anniversary of their subscription date. The goal is to send an upsell offer to increase their subscription benefits by creating a segment and activating to their email service provider.
Which segmentation event recency type should be used to evaluate new users each day into this segment once users reach 365 days since the first subscription?

  1. This year
  2. Rolling Range
  3. Custom date
  4. Within (+/-)

Answer(s): C

Explanation:

According to the Adobe documentation, custom date is a type of segmentation event recency that allows specifying a fixed date or a relative date based on a field in the dataset schema. This type of recency can be used to evaluate new users each day into a segment based on a specific date, such as the anniversary of their subscription date.


Reference:

https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment- builder.html?lang=en#event-recency



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?

  1. Frequency Segmentation
  2. Recency Segmentation
  3. Sequential Segmentation

Answer(s): C

Explanation:

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






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