Databricks-DA-Assoc Creating Dashboards and Visualizations Practice Question
Which TWO of the following are true about Databricks SQL Alerts? (Choose two)
⚠ Common exam trap
Candidates often assume alerts can only send notifications internally or are restricted to dashboard canvases, forgetting they support external integrations like webhooks for workflow automation.
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
✓
Alerts can trigger external workflows using webhooks.
Alerts in Databricks SQL are a critical component of a proactive monitoring strategy. By tracking the results of a query, they provide timely notifications that help analysts and business users respond to events immediately. Understanding the configuration of thresholds and notification channels is essential for building a reliable operational dashboard suite that moves beyond passive data reporting to active, event-driven data management.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Alerts can trigger external workflows using webhooks.
Why this is correct
Databricks SQL alerts can be configured to send notifications to external systems via webhooks. This is a powerful feature that allows the platform to integrate with other tools like Slack, PagerDuty, or custom internal applications, enabling automated responses to data-driven events directly from the Databricks environment.
- ✗
Alerts only function if the dashboard is currently open.
Why it's wrong here
Alerts are independent of the dashboard interface. They run on a schedule defined in the background, regardless of whether a user has the dashboard open or not. This is exactly why they are effective for monitoring, as they can catch issues in real-time without requiring constant manual oversight.
- ✓
Alerts can be based on any SQL query result.
Why this is correct
Alerts can be created for any query that returns a numeric or boolean value that can be evaluated against a threshold. This versatility allows analysts to monitor a wide range of business metrics, from technical performance indicators to critical high-level business KPIs, ensuring comprehensive coverage of business operations.
- ✗
Alerts automatically delete data that triggers the condition.
Why it's wrong here
Alerts are strictly for monitoring and notification purposes. They do not have the permissions or the functionality to delete, modify, or perform any write operations on the underlying data. Their role is to observe and report, ensuring that the integrity of the data lakehouse remains strictly protected.
- ✗
Alerts are only compatible with Python-based notebooks.
Why it's wrong here
Alerts are a core feature of Databricks SQL, which uses SQL queries as its primary interface. They do not require Python-based notebooks to function. Any query saved in the SQL editor can be used as the basis for an alert, provided it returns results in a format the alert can evaluate.
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JA
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-DA-Assoc 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-DA-Assoc exam.