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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Unification | 15-20% | - Profile merge rules - Schema management - Identity resolution - Data harmonization |
| Topic 2: Privacy and Governance | 15-20% | - Data governance policies - Data access and deletion requests - Consent management - Privacy compliance (GDPR, CCPA) |
| Topic 3: Segmentation and Targeting | 20-25% | - Segment evaluation and activation - Segment membership and management - Segment builder interface - Streaming segmentation |
| Topic 4: Reporting and Analytics | 5-10% | - Data quality monitoring - Profile and segment reporting - Metrics and dashboards |
| Topic 5: Activation | 15-20% | - Activation workflows - Data export management - Destinations setup and configuration - Destination monitoring |
| Topic 6: Foundations and Configuration | 20-25% | - Data ingestion setup - Data prep and transformation - Real-Time CDP overview and core concepts - Account and user configuration |
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NEW QUESTION # 19
An architect for a healthcare organization has been given the following requirements from the organization's compliance and legal team regarding web analytics data collection:
1. The data collected on the organization's home page cannot collect
any known identifiers and will not be considered Restricted Healthcare
Data (RHD).
2. Once the user authenticates to the website, known identifiers can be collected, but any linked data to the known healthcare identifier will be considered RHD.
3. Onsite personalization can only be done using non-RHD data.
Below is a sample web analytics record from the Organization's home page:
{
"eventType": "web.webpagedetails.pageViews",
"_id": "ABC-123",
"timestamp": "2023-09-27T15:02:07.977Z",
"web":
{
"webPageDetails":
{
"name": "Homepage",
"siteSection": "Home"
}
},
"identityMap":
{
"ECID":
[
{
"id": "12345678"
}
]
}
}
And an example of a web analytics record once a user authenticates:
{
"eventType": "web.webpagedetails.pageViews",
"_id": "ABC-1234",
"timestamp": "2023-09-27T15:03:07.977Z",
"web":
{
"webPageDetails":
{
"name": "Customer Login",
"siteSection": "Healthcare Authenticated"
}
},
"identityMap":
{
"ECID":
[
{
"id": "12345678"
}
],
"CustomerHealthCareID":
[
{
"id": "ABC"
}
]
}
}
Assume that all web analytics data will be enabled for Profile with ECID as the Primary Identity.
Given the above requirements and the organization's desire to personalize its website visitor's experience, how would the Platform be configured to accommodate both requirements?
Answer: D
NEW QUESTION # 20
What are key components of role-based access control in RT-CDP? (Select two.)
Answer: B,C
NEW QUESTION # 21
A data engineer is troubleshooting an issue where clickstream data being ingested via Adobe's Web SDK into Adobe Real-Time CDP is not populating the desired segment. The segment is looking for visitors who have added an item to their cart but have not made a purchase in over 30 days. The source data consists of user interactions, collected in real-time. It is available in a structured format and includes information like click timestamp, visitor ID, event type (page view, item added to cart, purchase, etc.), and item details.
What is the possible cause for the error when trying to create the Edge Segment?
Answer: C
Explanation:
Adobe Experience PlatformEdge Segmentationis designed for ultra-low latency personalization and carries specific architectural guardrails that differ from Hub-based (Batch or Streaming) segmentation. One of the primary limitations of Edge Segmentation is thelookback windowand the complexity of time-based event relationships.
Edge segmentation is optimized for "in-session" or very recent cross-session behavior. A segment requiring a
30-day lookbackor a specific duration of inactivity (over 30 days) between two discrete events exceeds the current technical capabilities of the Edge Network's real-time evaluation engine. Edge segments typically support shorter lookback windows (typically up to 24 hours for certain attributes) and are intended to react to the "current" state of the user.
Option B is incorrect because Web SDK automatically includes timestamps. Option C is incorrect because segments are evaluated against ingested data based on rules, not manual "population" flags during ingestion.
Option D is unlikely as the prompt implies the data is being ingested but just not populating the segment.
Therefore, the "30 days" logic is the root cause; while this segment would work perfectly as aBatch Segment in the Hub, it is ineligible forEdge Segmentationdue to the memory and processing requirements of maintaining a 30-day state at the network edge.
NEW QUESTION # 22
What features support data governance in Adobe RT-CDP? (Select two.)
Answer: A,B
NEW QUESTION # 23
Which component is critical for mapping ingested data to customer profiles?
Answer: B
NEW QUESTION # 24
......
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