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| Certification Vendor: | Adobe |
|---|---|
| Exam Name: | Adobe Real-Time CDP Developer Expert |
| Exam Number: | AD0-E605 |
| Passing Score: | 48/68 (71%) |
| Exam Duration: | 136 minutes |
| Real Exam Qty: | 68 |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Scenario-based |
| Available Languages: | English |
| Exam Price: | $225 USD / $150 USD (India) |
| Related Certifications: | Adobe Certified Professional - Real-Time CDP Business Practitioner |
| Recommended Training: | Official Exam Prep Guide Adobe Real-Time CDP Developer Learning Path |
| Exam Registration: | Adobe Certification Portal |
| Sample Questions: | Adobe AD0-E605 Sample Questions |
| Exam Way: | Online proctored (requires camera and microphone access), delivered via easyProctor |
| Pre Condition: | Recommended 1–3 years of hands-on experience with Adobe Experience Platform and Real-Time CDP; no mandatory prerequisites |
| Official Syllabus URL: | https://certification.adobe.com/courses/198 |
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NEW QUESTION # 14
A data architect for a global retailer wants to ingest batch data into Adobe Real-Time Customer Data Platform. The data consists of a large number of customer profiles that need to be loaded in bulk. The architect is also looking to reduce the load on the infrastructure while maintaining high throughput. Which method would the architect use to load batch data into the Adobe Real-Time CDP effectively?
Answer: A
Explanation:
For high-volume data loading, theBatch Ingestion APIis the architecturally sound choice for maintaining high throughput while managing system resources effectively. Unlike streaming ingestion, which processes messages individually, the Batch Ingestion API allows for the uploading of large data files (such as Parquet or JSON) that are processed as a single unit of work.
To optimize infrastructure load, the architect should utilizespecified batch sizes. Adobe Experience Platform provides a "Large File Upload" workflow within the Batch Ingestion API that allows developers to break a single large file into smaller chunks, which are then stitched together on the platform side. This prevent timeouts and memory issues on the client-side infrastructure while ensuring the platform's ingestion engine can process the data in a scalable manner.
Option A is incorrect because a single HTTP API request is typically used for streaming or small payloads, not bulk profile loading. Option B is not a technical method, as even the UI utilizes these underlying APIs. By leveraging the Batch Ingestion API, the retailer can ensure that millions of profile records are validated against XDM schemas and moved into theData LakeandReal-Time Customer Profilestore with high efficiency and robust error reporting.
NEW QUESTION # 15
A financial services customer wishes to suppress people from active credit card campaigns as soon as they submit an application for the associated credit card name. The business's goal is to optimize ad spend by suppressing people quickly who convert and use the savings to help funnel more money back into their acquisition strategies.
The current data model that IT has provided from their data warehouse looks like the following:
It is assumed that each application submit contains an offer that is always associated to a credit card name.
Assuming all applications are streamed into the Real-Time Customer Profile, in which two ways could a developer model the application submit event to ensure the real-time suppression requirement is supported? (Choose two.)
Answer: A,C
NEW QUESTION # 16
What is a key best practice for applying data governance in Adobe RT-CDP?
Answer: C
NEW QUESTION # 17
A segment has a total audience size of 12 million profiles. The segment is activated to an Amazon S3 destination.
How many files would land in the Amazon S3 destination?
Answer: C
NEW QUESTION # 18
A financial institution is implementing Adobe Real-Time CDP and has critical data coming from multiple sources, raising data security concerns. What is the recommended Adobe Experience Platform feature to use to ensure this sensitive data, such as customer's financial details and transactional data, is handled properly?
Answer: C
Explanation:
For a financial institution, managing sensitive information like account numbers or transaction history requires a rigorous governance strategy. The recommended feature to ensure this data is handled according to security and compliance standards isData Usage Labels and Policies.
This feature allows the institution to categorize data usingLabelsat the schema and field level. For instance, sensitive financial fields can be labeled with "PII" (Personally Identifiable Information) or "S1" (Highly Sensitive). Once labeled,Data Usage Policiesare created to define the "contracts" of how that data can be used. If a policy is set to restrict "S1" data from being exported to third-party cloud storage, the platform will automatically enforce this at the point of activation.
This "Governance by Design" approach ensures that even as data moves from multiple sources into the unified Real-Time Customer Profile, it carries its security context with it. Option A (Profile API) and Option B (Query Service) are tools for accessing and analyzing data but do not provide inherent security or governance protections. Option D (Privacy Request) is used to satisfy individual consumer rights like "the right to be forgotten" but does not manage the ongoing architectural security of the data.Data Usage Labels and Policies provide the proactive, automated enforcement needed to mitigate the risk of data misuse or accidental exposure in highly regulated industries like finance.
NEW QUESTION # 19
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