Exam details
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- Level: Expert (1-3 years’ experience)
- Passing Score: 45/68
- Time: 136 mins
- Delivery: Online proctored (requires camera access)
- Language: English
- Cost: $225 (global) / $150 (India)
- Exam ID: AD0-E605
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Intended audience
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- Software developer
- Data engineer
- Data architect
- Solutions architect
- Enterprise architect
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Minimum experience
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- Understanding of segment evaluation differences (stream, batch, edge)
- Understanding of use cases for APIs (how to build a developer project, how auth works)
- Understanding of identity service
- Understanding of dataflow
- Understanding of Adobe I/O
- Understanding of how relationships work
- Ability to build a data model (Schema, Identity, Relationships) for Customer use case
- Ability to strategize to Merge the data based on Merge Policy
- Understanding of how to determine the correct way of Data Labeling, Policy Enforcement and Privacy Services
- Familiarity with data ingestion pattern limits
- Understanding destinations and which to use
- Understanding of the edge data collection framework
- Ability to determine which AEP Permissions need to be configured (that is, attribute level permissions) (make recommendations to clients)
- Basic understanding of query service use cases
- Basic understanding of sources/destinations SDK
You should be familiar with these concepts:
- Entity relational diagrams
- Admin/permissions
- Experience platform APIs
- Adobe Experience Platform Debugger
- Web and mobile SDKs
You should be comfortable in these environments:
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Exam objectives and scope
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This section provides information on the exam content.
Data Architecture (19%)
- Based on a scenario, translate RDBMS to Adobe RT-CDP’s NoSQL data model
- Demonstrate best practices for modeling the Real-Time Customer Profile
- Design the identity strategy and relationships for modeling
Real-Time Customer Profile (15%)
- Describe how profile assembly works
- Describe how the Identity Graph works
- Describe Profile Composition
- Differentiate between edge vs. hub profile
- Describe data ingestion capabilities with the CDP
- Describe the capabilities of Edge ingestion
- Describe the advanced techniques around data ingestion architecture
- Describe different ways to build audiences & segments within the CDP
- Explain the various segmentation types and how they operate
- Demonstrate an understanding of how to apply use cases to segment/audience activation
- Explain different activation patterns within CDP
- Explain the guardrails around activation
- Describe on site personalization
- Apply best practices for governance in the Adobe RT-CDP implementation
- Describe how to manage data across the various services
- Understand monitoring capabilities
- Describe alerts
- Describe the different license usage
- Describe use cases for ABAC enablement within Adobe RT-CDP
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