Databricks-DE-Assoc Troubleshooting, Monitoring, and Optimization Practice Question
A data engineer is monitoring a Databricks job and notices that the job's duration has gradually increased over the past week. The job reads a large Delta table, performs aggregations, and writes results to another Delta table. The engineer wants to identify the stage that is taking the most time. Which Spark UI tab should the engineer use to quickly identify the slowest stage?
⚠ Common exam trap
Test-takers frequently confuse the Jobs tab with the Stages tab; the Jobs tab gives high-level job durations, but stage-level timing is found in the Stages tab.
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
✓
Stages tab
The Spark UI Stages tab provides a detailed list of all stages, including their duration, number of tasks, and shuffle read/write metrics. By examining this tab, the engineer can sort stages by duration and identify the one consuming the most time. This is the most efficient way to locate the bottleneck stage and then investigate further.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Environment tab
Why it's wrong here
The Environment tab displays the Spark configuration and environment variables for the application. It is useful for verifying settings but does not contain performance timing data. It cannot help the engineer determine which stage is slowest, as it focuses on configuration rather than execution metrics.
- ✓
Stages tab
Why this is correct
The Stages tab lists all stages for a job and displays their duration, number of tasks, and other metrics. By sorting stages by duration, the engineer can quickly identify the slowest stage. This tab provides the necessary detail to pinpoint performance bottlenecks at the stage level, making it the correct choice.
- ✗
Storage tab
Why it's wrong here
The Storage tab shows information about persisted RDDs and DataFrames, including their size and memory usage. It does not provide timing information for stages or tasks. While useful for diagnosing caching issues, it does not help identify the slowest stage in a job.
- ✗
Jobs tab
Why it's wrong here
The Jobs tab provides an overview of all jobs, including their status and duration, but it does not break down the time spent per stage. To identify the slowest stage, the engineer needs to drill into a specific job and view its stages. The Jobs tab is a starting point but not the most direct place to find stage-level timing.
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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.