[Mentor Jayakrishnaa Parthasarathy] Adobe Real-Time CDP Community Mentorship Program 2024
Hello Team,
Welcome to the Adobe Real-Time CDP Community Mentorship Program 2024! This is the featured Community Discussion/Contextual thread for your Adobe Real-Time CDP Community Mentor, Jayakrishnaa Parthasarathy!
Jayakrishnaa Parthasarathy will be your dedicated mentor, providing valuable support and guidance on your Adobe Real-Time CDP queries as you upskill yourself and prepare for Real-Time CDP certification throughout the program.
Know your Mentor Jayakrishnaa
Jayakrishnaa brings his extensive experience with Adobe Analytics, Launch, Target, and Audience Manager, and more recently, he has been working with AEP and AJO technology. He is passionate about working on Adobe platforms, finding it both challenging and rewarding. He looks forward to further collaboration and exploration with other experts in the Adobe community.
Aspirants mapped to Jayakrishnaa Parthasarathy (aka @jayakrishnaaparthasarathy )
1) Ankit Chaudhary aka @Ankit_Chaudhary
2) Kandavadivelan S aka @Kanda_SR
3) Ramakrishna zalaki aka @ramakrishna3
4) Mohd Kashaf Tahirhussain Momin akaMohd_KashafMo
5) Deepak K V aka @DeepakK_
6) Laxa Devda aka @LaxaDe
7) Parvesh Sharma aka @parveshsh
9) Revanth Ponnuru aka @RevanthPonnuru
10) Koti Reddy Syamala aka @kotisyamala
11) Enok Lee aka @EnokLe
12) Michael Giddings aka @fondofhatsKey
13) Mohd Kashaf Tahirhussain Momin aka @Mohd_KashafMo
How to participate in the program
- Post your Questions in this thread to connect with your Mentor, Jayakrishnaa Parthasarathy, and fellow Aspirant peers.
- Stand a chance to win the ‘Most Engaging Aspirant’ recognition from your mentor by participating in a weekly quiz.
- Test your knowledge by replying to the unresolved questions in the Real-Time CDP and AEP community and tag your Mentor to get recognized as an ‘Exceptional Contributor’ by your mentor.
- Stick to the schedule to cover one module/week and clear Adobe Real-Time CDP Certification during the program: July 15 – Aug 30
Suggested Next Steps for Aspirants:
- Update your Community Profile photo with your latest headshot to stand out to your Mentor and Peer Aspirants.
- "Like" this thread to confirm your participation in the program.
- Introduce yourself to Jayakrishnaa Parthasarathy and your Aspirant peers by Replying to this Thread! Break the ice by introducing yourself (location, org/ company, etc.) and your experience with/ interest in Adobe DX stack.
- Post your Questions to this thread as you begin learning more about the Adobe Real-Time Customer Data Platform Developer Expert certification (Exam ID: AD0-E605)
- Stick to schedule and ensure you track your progress in the exam prep guide.
- Test your learning by replying to weekly quiz by your mentor
- Practice the modules by replying to unresolved queries in the AEP community & RTCDP Community and tag your mentor.
Remember that every post / like / comment you make in your contextual thread and the Real-time CDP Community throughout the program helps increase your chance to be recognized by your Mentor and win exclusive Adobe swag, so bring your best efforts!
We wish you all the best as you embark on this learning experience!
1. What are the different methods of audience creation in Adobe Experience Platform, and what is the core difference between these methods?
Ans:
A. Segment Builder:
The Segment Builder is primarily used for audience creation, allowing users to build audiences from scratch.
B. Audience Composition:
It is used to create new audiences based on existing audiences,
Addition to audience compositions and segment builder, we can use Adobe Federated Audience Composition to build new audiences from enterprise datasets without copying underlying data and store those audiences in Adobe Experience Platform Audience Portal.
2. If you’ve ingested batch data from S3 and want to combine it with streaming attributes for audience creation, can this audience be evaluated using streaming evaluation? If yes, how does the evaluation process work?
Ans:
AEP supports the evaluation of audiences using streaming segmentation, even if the data has been ingested from source like S3.
Streaming segmentation is an ongoing data selection process that updates your audiences in response to user activity. Once an audience has been built and saved, the segment definition is applied against incoming data to Real-Time Customer Profile. Additions and removals to the audience are processed regularly, ensuring our target audience remains relevant.
3. Can you provide an example scenario where using the audience composition method is preferable over a build rule
Ans:
Business Context:
A retail brand runs a loyalty program and wants to create a segmented audience for a special promotion. The criteria for the promotion are as follows:
- High-Value Customers: Customers who have spent more than $1,000 in the last year.
- Engaged Customers: Customers who have made at least three purchases in the last six months.
- Recent Visitors: Customers who have visited the website or opened the app within the last 30 days.
The brand wants to create an audience that includes customers who meet any of these criteria to maximize reach for the promotion.
Using Audience Composition:
- Step 1: Create individual audiences for each criterion:
- Audience A: High-Value Customers
- Audience B: Engaged Customers
- Audience C: Recent Visitors
- Step 2: Use audience composition to combine these audiences. In AEP, audience composition allows you to create a new audience by combining existing audiences using simple logic (e.g., Audience A OR Audience B OR Audience C).
4. After creating a schema and dataset enabled for a profile, why might the schema’s attributes not appear during audience creation if the data hasn’t been ingested yet? Which setting must be enabled to resolve this issue?
Ans:
5. How long does it typically take for a segment definition to become available on the Edge Network after it has been created?
Ans :
After a segment definition has been created, it typically takes up to one hour for the segment to become available on the Edge Network.
6. If you’ve set up a batch evaluation audience with a 24-hour schedule, is it possible to estimate the profile count before the evaluation runs? If yes, how would you do it?
Ans:
it is possible to estimate the profile count before the evaluation runs for a batch evaluation audience with a 24-hour schedule using View Last Sample Status API get request.
7. What happens if you don’t add a mandatory attribute in the mapping section when activating a Marketo destination?
Ans:
When we don’t add a mandatory attribute in the mapping section when activating a Marketo destination, it can lead to issues with the successful export of data.
8. What identities are supported for activating a Bing destination?
Ans: MAID – Microsoft Advertising ID
9. What are the prerequisites for enabling audiences in personalization destinations like Adobe Target or custom personalization?
Ans:
A. We must have at least one audience created in Adobe Experience Platform. This ensures that you have the necessary access and permissions to activate audiences and enable the mapping step of the workflow.
B. To activate audiences and enable the mapping step of the workflow, we need the following access control permissions.
Destinations, Activate Destinations, View Profiles, and View Segments.
C. When configuring the Adobe Target connection without using a datastream ID, it's important to note that only next-session personalization use cases are supported in the absence of a datastream.
10. During the Identity Mapping step, how does Adobe Experience Platform handle unhashed attributes, and what is the purpose of the "Apply transformation" option in this context?
Ans:
AEP handles unhashed attributes by providing the "Apply transformation" option, which automatically hashes the source attributes on activation. This option serves the purpose of transforming unhashed attributes into the required hashed format for seamless integration with the destination platforms.
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