Databricks-DE-Assoc Databricks Intelligence Platform Practice Question
A data engineer is configuring a Databricks job that must run on a schedule and send an email notification if the job fails. They want to minimize manual intervention. Which feature should they use to define the schedule and failure notification?
⚠ Common exam trap
Test-takers frequently confuse monitoring features like SQL alerts with job orchestration and notification capabilities of Databricks Jobs.
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
✓
Databricks Jobs with a cron schedule and email notifications on failure
Databricks Jobs provide built-in scheduling via cron and support email notifications on failure. This directly meets the need to automate job runs and alert the engineer when something goes wrong, reducing manual intervention. Other features like SQL alerts or cluster policies serve different purposes and cannot replace job scheduling and failure notifications.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cluster policies with auto-termination settings
Why it's wrong here
Cluster policies control cluster configuration and auto-termination, but they do not schedule jobs or send failure notifications. Auto-termination stops idle clusters to save cost, but it does not address job scheduling or alerting on failures. This is unrelated to the requirement.
- ✗
Databricks SQL alerts with a custom schedule
Why it's wrong here
Databricks SQL alerts are designed to trigger notifications based on query results, not to schedule and notify on job failures. They are used for monitoring data thresholds, not for orchestrating jobs. Using SQL alerts would not provide the job scheduling and failure notification required here.
- ✓
Databricks Jobs with a cron schedule and email notifications on failure
Why this is correct
Databricks Jobs support scheduling with cron expressions and can be configured to send email notifications when a run fails. This allows the engineer to automate the job and receive alerts without manual monitoring. This is the standard way to schedule and monitor jobs in Databricks.
- ✗
Delta Live Tables with expectations for failure handling
Why it's wrong here
Delta Live Tables expectations are used for data quality validation within a pipeline, not for scheduling jobs or sending email notifications on job failure. While DLT pipelines can be scheduled, the notification mechanism for job failures is separate and more directly handled by Databricks Jobs notifications.
About these practice questions
Courseiva writes every Databricks-DE-Assoc question from scratch — 276 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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-DE-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-DE-Assoc exam.