{
  "dataset_id": "c8004e22-87f7-441f-8302-80c934841196",
  "question_id": "04534356-9ee0-431d-8b6e-74c2eed261c2",
  "status": "completed",
  "question_text": "Why do some pipeline jobs fail intermittently?",
  "answer": "Intermittent pipeline failures often occur because:\n1. **Resource contention**: Concurrent jobs may race for limited compute resources, causing timeouts. \n2. **Transient network glitches**: Temporary connectivity drops can interrupt data reads/writes. \n3. **Schema drift**: Downstream tables occasionally change format without immediate schema updates. \n\nTo mitigate these, ensure you set retry logic, increase timeouts, and maintain schema conformity across data sources.",
  "relevant_documents": [
    {
      "page_content": "…When jobs on Kubernetes exceed CPU quotas, they can be evicted and restart. Monitor ‘OOMKilled’ events…",
      "metadata": { "source": "Pipeline_Architecture.md" }
    },
    {
      "page_content": "…Logs from 2025-05-10 show transient network errors between Region A and B causing downstream timeouts…",
      "metadata": { "source": "Incident_Reports/2025-05-10.txt" }
    },
    {
      "page_content": "…Our ETL uses Avro format; when schema evolves unexpectedly, readers may fail without backward compatibility…",
      "metadata": { "source": "Data_Governance.md" }
    }
  ],
  "confidence": 0.91,
  "submitted_at": "2025-06-12T12:00:05.000Z",
  "completed_at": "2025-06-12T12:00:07.345Z"
}