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Monitoring and Alerting →hardMultiple Choice

Databricks-DE-Pro Monitoring and Alerting Practice Question

Exhibit

{
  "alert": {
    "name": "Data Freshness",
    "query": "SELECT max(updated_at) FROM my_table",
    "threshold": "now() - interval 1 hour"
  }
}

Refer to the exhibit. The alert is intended to trigger if the data in 'my_table' is older than one hour. Which query modification correctly implements this check?

⚠ Common exam trap

Candidates often struggle with SQL syntax for time intervals, accidentally choosing options that use incorrect date functions or fail to account for the 'CASE WHEN' logic required for binary alert triggers.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

SELECT CASE WHEN max(updated_at) < now() - interval 1 hour THEN 1 ELSE 0 END

To detect stale data, the alert must compare the latest record timestamp against the current time. If the latest 'updated_at' value is less than the threshold (one hour ago), it signifies that no data has arrived in the last hour. Monitoring data freshness is critical for time-sensitive analytics, ensuring that business stakeholders are working with current data and allowing teams to troubleshoot ingestion pipeline failures proactively.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    SELECT COUNT(*) FROM my_table WHERE updated_at < now() - interval 1 hour

    Why it's wrong here

    This query returns the count of old records, not whether the most recent data is stale. If the table has many historical records, this query will return a high value even if new data is being ingested perfectly, leading to false-positive alerts.

  • ✓

    SELECT CASE WHEN max(updated_at) < now() - interval 1 hour THEN 1 ELSE 0 END

    Why this is correct

    This query returns 1 if the latest data is older than one hour, allowing an alert threshold of '> 0' to trigger. This is a standard pattern for binary state alerting where the result set needs to indicate a violation condition clearly.

  • ✗

    SELECT updated_at FROM my_table ORDER BY updated_at DESC LIMIT 1

    Why it's wrong here

    This query returns the timestamp itself, not a boolean flag or a metric that can be easily compared to a constant in a standard threshold-based alert configuration, making it difficult to trigger a boolean 'Alert' state directly.

  • ✗

    SELECT datediff(now(), max(updated_at)) FROM my_table

    Why it's wrong here

    While this returns the difference in days, it is not ideal for hourly thresholds. Even with proper conversion, the result is a number representing a duration, and if the data is fresh, the result might be zero, which is harder to alert on than a boolean flag.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Databricks exam blueprint

This Databricks-DE-Pro practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DE-Pro exam.