AD0-E605 · Question #56
A data engineer uses the Identity Graph Viewer in the Adobe Experience Platform User Interface to review relationships between different identities for a specific customer. While examining the graph,
The correct answer is C. Utilize Audit Logs and filter by Dataset; review the logs to obtain information on the Dataset ID. Audit Logs (option C) is correct because when the Identity Graph Viewer shows a Dataset ID but no Dataset Name or Batch ID, it indicates the dataset may have been deleted or its metadata is incomplete. Adobe Experience Platform's Audit Logs track all activity against datasets - i
Question
A data engineer uses the Identity Graph Viewer in the Adobe Experience Platform User Interface to review relationships between different identities for a specific customer. While examining the graph, the data engineer reviews a specific node (ECID: 12345678). However, as the data engineer examines the data source corresponding to this identity, the engineer notices the following information in the Identity Graph Viewer:
[1] Dataset ID [2] No Dataset Name [3] No Batch ID What monitoring capabilities can the data engineer use to gain further information about the dataset associated with this identity?
Options
- AUtilize Query Service to look up the ECID fragment and obtain the missing Batch ID
- BUtilize the Dataset Service API to look up the Dataset ID
- CUtilize Audit Logs and filter by Dataset; review the logs to obtain information on the Dataset ID
- DUtilize the Profile Dashboard to locate missing batch information
How the community answered
(16 responses)- A6% (1)
- B6% (1)
- C69% (11)
- D19% (3)
Explanation
Audit Logs (option C) is correct because when the Identity Graph Viewer shows a Dataset ID but no Dataset Name or Batch ID, it indicates the dataset may have been deleted or its metadata is incomplete. Adobe Experience Platform's Audit Logs track all activity against datasets - including creation, modification, and deletion events - allowing the engineer to filter by the Dataset ID and reconstruct what happened to that dataset and any associated batches.
Option A is wrong because Query Service operates on data that has already been ingested and indexed; it cannot recover metadata (like Batch IDs) for datasets whose records are missing or incomplete in the system.
Option B is wrong because the Dataset Service API would return information about datasets that still exist - if the dataset name is missing from the Identity Graph Viewer, the dataset has likely been deleted, so the API would return nothing useful for a deleted dataset.
Option D is wrong because the Profile Dashboard provides aggregated profile metrics and counts, not granular batch-level ingestion metadata tied to a specific identity or Dataset ID.
Memory tip: Think "missing data needs a paper trail" - Audit Logs are the system-of-record for what happened to platform objects (datasets, batches, schemas). Whenever something is absent or deleted, Audit Logs are your forensic tool, not query or dashboard tools that only work on present data.
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