What should an analyst examine if a scheduled data ingestion job fails in Adobe Experience Platform?

When a scheduled data ingestion job fails in Adobe Experience Platform, the most effective step for an analyst is to examine the Data Ingestion logs for detailed error information. These logs provide specific insights into the reasons behind the failure, enabling analysts to diagnose issues accurately.

The logs can detail various error messages or warnings that occurred during the data ingestion process, such as format mismatches, connection issues, or validation errors. By analyzing this information, the analyst can identify the exact cause of the failure and take appropriate corrective actions, whether that involves fixing data format issues, reconfiguring connections, or adjusting the ingestion process itself.

Other options, while potentially relevant in broader contexts, do not specifically address the immediate need to understand why the ingestion job failed. System configuration settings may be important but typically require a separate review process. Data accessibility permissions matter for ensuring that data can be ingested successfully but may not pinpoint the cause of a specific failure. Overall performance metrics offer insights into system efficiency but do not provide the detailed error context needed to resolve a job failure directly. Therefore, focusing on the Data Ingestion logs is the most direct approach to troubleshoot and resolve the issue at hand.