Databricks-DE-Assoc Databricks Intelligence Platform Practice Question
A data engineer needs to run a Databricks notebook on a schedule every day at 8:00 AM UTC. The notebook performs data transformations and writes results to a Delta table. The engineer wants to ensure the job runs reliably and can be monitored. Which Databricks feature should the engineer use to schedule and monitor the notebook?
⚠ Common exam trap
Watch out — candidates often confuse Delta Live Tables with Databricks Jobs; Delta Live Tables is for pipelines, not for scheduling arbitrary notebooks.
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.
Databricks Jobs is the correct feature for scheduling and monitoring notebooks. It supports cron-based schedules, provides a UI for monitoring runs, and can send alerts on failure. Other options like SQL Alerts, Repos, or Delta Live Tables serve different purposes and do not provide the required scheduling and monitoring for a notebook. Therefore, Databricks Jobs is the appropriate choice.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Databricks Jobs with a cron schedule.
Why this is correct
Databricks Jobs allows you to schedule notebooks, JARs, or Python scripts with a cron expression. It provides monitoring, alerting, and retry capabilities. This is the native and recommended way to schedule and monitor recurring tasks in Databricks, making it the correct choice for this scenario.
- ✗
Databricks Delta Live Tables with a continuous pipeline.
Why it's wrong here
Delta Live Tables is for building data pipelines with declarative syntax, but it does not directly schedule notebooks at specific times. It can be triggered by schedules, but the primary purpose is pipeline orchestration, not arbitrary notebook execution. This is not the correct feature for scheduled notebook runs.
- ✗
Databricks Repos with a CI/CD pipeline.
Why it's wrong here
Databricks Repos integrates with Git for version control, but it does not provide scheduling or monitoring of notebook runs. CI/CD pipelines can automate deployment, but they are not designed for scheduled execution of notebooks. This option does not address the scheduling requirement.
- ✗
Databricks SQL Alerts.
Why it's wrong here
Databricks SQL Alerts are used to trigger notifications based on query results, not to schedule notebooks. They cannot execute transformations or write to Delta tables. This feature is for monitoring query results, not for running scheduled jobs, so it does not meet the requirement.
About these practice questions
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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-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.