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A data engineering team uses Databricks Lakehouse Monitoring to track the percent_null metric for a critical column in their Delta table. The profile metrics table ( prod_catalog.prod_schema. customer_data_profile_metrics ) stores hourly percent_null values. The team wants to trigger an alert when the daily average of percent_null exceeds 5% for three consecutive days, while ensuring notifications are not spammed during sustained issues. Which SQL alert configuration achieves this goal while minimizing false positives and redundant notifications?
Correct Answer: A
Databricks SQL alerts support alert conditions over aggregated query results, including AVG , and they support notification-frequency behavior that avoids repeated alerts during a sustained triggered state. Databricks documents that with Just Once , a notification is sent when the alert changes from OK to TRIGGERED , but not repeatedly while it remains triggered. ( Databricks Documentation ) Option A is the only choice that correctly computes a daily average, checks the latest three daily rows, and pairs that with the anti-spam Just Once notification behavior. Option B checks only raw hourly values over one day, option C averages across the entire three-day span rather than requiring three consecutive daily breaches, and option D counts hourly threshold violations instead of true daily-average violations. ( Databricks Documentation ) ======