Databricks-DE-Pro Monitoring and Alerting Practice Question
A data engineer wants to monitor the performance of a Databricks cluster by tracking the average CPU utilization over time. Which Databricks feature should they use to visualize this metric?
⚠ Common exam trap
Watch out — candidates often confuse the Spark UI, which shows job-level details, with the cluster metrics dashboard, which shows infrastructure-level metrics.
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
✓
Cluster metrics dashboard in the Databricks UI
The cluster metrics dashboard in the Databricks UI is designed to display cluster performance metrics such as CPU utilization, memory usage, and network activity. It provides both real-time and historical views, allowing engineers to monitor trends and identify performance issues. Other tools like Spark UI focus on job execution, while Databricks SQL dashboards are for data visualization, not infrastructure monitoring. Therefore, the cluster metrics dashboard is the correct 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.
- ✓
Cluster metrics dashboard in the Databricks UI
Why this is correct
The cluster metrics dashboard in the Databricks UI provides real-time and historical charts of CPU utilization, memory usage, and other metrics for a cluster. It is the built-in tool for visualizing cluster performance over time, making it the correct choice for this scenario.
- ✗
Spark UI
Why it's wrong here
The Spark UI provides detailed information about Spark jobs, stages, and tasks, but it does not offer long-term visualization of cluster-level metrics like CPU utilization. It is focused on job execution details rather than cluster health over time.
- ✗
Databricks SQL dashboards
Why it's wrong here
Databricks SQL dashboards are used for visualizing query results and data analytics, not for monitoring cluster infrastructure metrics. While you could query system tables for cluster metrics, the native cluster metrics dashboard is the direct and intended tool for this purpose.
- ✗
Ganglia
Why it's wrong here
Ganglia is a legacy monitoring tool that was used in older Databricks runtimes, but it is no longer the primary interface for cluster metrics. The Databricks UI provides a more integrated and user-friendly dashboard. Relying on Ganglia would require additional setup and is not the recommended approach.
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-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.