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Adobe AD0-E605 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Administration: Covers monitoring tools, alerts, license usage types, and use cases for Attribute-Based Access Control (ABAC) within Adobe RT-CDP.
Thema 2	Data Ingestion: Covers general and edge data ingestion capabilities within the CDP and advanced architectural techniques for efficient data ingestion.
Thema 3	Real-Time Customer Profile: Covers how profiles are assembled and composed, how the Identity Graph works, and the differences between edge and hub profiles.
Thema 4	Data Architecture: Covers translating RDBMS to Adobe RT-CDP's NoSQL model, best practices for profile modeling, and designing identity strategies and entity relationships.
Thema 5	Governance: Covers data governance best practices for Adobe RT-CDP implementations and managing data across the platform's various services.
Thema 6	Segmentation: Covers methods for building audiences and segments, the various segmentation types and how they operate, and applying use cases to segment activation.

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Adobe Real-Time CDP Business Practitioner Professional AD0-E605 Prüfungsfragen mit Lösungen (Q63-Q68):

63. Frage
A company has a policy to restrict access of marketers from viewing PII fields within the Real- Time CDP. The data architect plans to use the attribute-based access control feature to fulfill this requirement. The data architect notices that when they apply labels in one schema, other schemas inherit those same labels.
Why is this happening?

A. Labels are applied to datasets, and all schemas linked to those datasets inherit the labels.
B. Labels are applied at a field level and inherited by the schemas that use that field.
C. Labels are applied at a field within a field group and inherited by the schemas that use that field group.
D. Labels are applied at a field group and inherited by the schemas that use that field group.

Antwort: C

64. Frage
An architect is tasked with onboarding e-commerce data into Adobe Experience Platform (AEP).
An ERD of the data is shown below.

What are the three correct mappings of source entities into AEP classes? (Choose three.)

A. Create Orders as Experience Event
B. Embed Order Line Items as an object array in orders
C. Create Product as a Custom Class
D. Create Order Line Items as Experience Event
E. Create Product and Order Line Items as custom classes

Antwort: A,B,C

65. Frage
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?

A. Create two sandboxes, one which will collect the RHD data and one to collect the non-RHD data; connect the personalization tool to the non-RHD sandbox
B. Create one sandbox and apply the RHD label to only the known customer identifiers
C. Configure one sandbox and use data retention policies to separate RHD and non-RHD data
D. Create one sandbox with two datasets, one which will be labeled as RHD and one that will be unlabeled; create Audiences using only the non-RHD dataset

Antwort: A

66. Frage
Multiple records within the same XDM Individual Profile class-based dataset are all related to each other through the identity graph.
At the time of profile assembly, what would be expected in terms of how those records will be merged together?

A. Profile will use the last processed fragment as truth and use the other fragments in timestamp order to fill in the gaps.
B. Profile will merge all fragments and overwrite previous data randomly.
C. Profile will keep only one fragment and ignore the other fragments completely.
D. Profile will randomly pick a fragment as truth and use the other fragments in timestamp order to fill in the gaps.

Antwort: A

67. Frage
A company is implementing Adobe Real-Time CDP (RTCDP) and is concerned about how license usage is calculated and what measures to take to prevent overages. How can the company effectively and proactively manage the Total Data Volume measurement to avoid exceeding licensed volumes?

A. Regularly update the Real-Time CDP with limited datasets
B. Map all attributes across all datasets to the default Adobe schema
C. Query data using Query Service before adding data to the Real-Time Customer Profile data store
D. Implement an automatic Experience Event expiration on profile storage

Antwort: D

Begründung:
In Adobe Real-Time CDP, license consumption is primarily driven by two metrics: the number of Addressable Profilesand theTotal Data Volume(Profile Enrichment) stored in theReal-Time Customer Profilestore. While static profile attributes take up relatively little space, behavioralExperienceEvents(clicks, transactions, page views) accumulate indefinitely and can quickly lead to storage overages if left unmanaged.
The most effective and proactive strategy to manage this volume is toimplement automatic Experience Event expiration(also known asExperience Event TTL). This feature allows an administrator to define a retention period at the schema level. For example, if a company only requires the last 90 days of behavioral data for real-time segmentation, setting a 90-day TTL will instruct the system to automatically purge events older than that from the Profile store.
Option A is a manual, restrictive process that limits the utility of the CDP. Option B (Query Service) allows for analysis but does not directly prevent data from consuming profile storage once it is profile-enabled.
Option D is incorrect as mapping to a default schema does not impact the volume of records stored. By automating the expiration of older events, the company maintains high-performance segmentation while keeping its data footprint within the contractual licensed limits.

68. Frage
......

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