Microsoft Certified:Azure Databricks Data Engineer Associate
Domain 4Objective 4
Monitor, Troubleshoot, and Optimize Workloads in Azure Databricks DP-750 Practice Questions (Page 9)
Part of the Deploy and maintain data pipelines and workloads domain, which accounts for 30–35% of the DP-750 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–28 in this domain), expect 4–7 from this objective — we provide 47 practice questions to prepare you well beyond it. (estimate)
47questions here
10free pages
11concepts
30–35%of the exam
Questions 41–45
- 41
Which tab in the Spark UI provides a detailed view of the execution plan, including stages, tasks, and metrics like shuffle read/write and spill?
Select an answer first - 42
A data engineer uses the DAG visualization to investigate a slow join operation. The DAG shows that one task is processing significantly more data than others. What issue does this indicate?
Select an answer first - 43
Which Delta Lake command is used to consolidate small files into larger ones to improve query performance?
Select an answer first - 44
A team runs a long-running interactive cluster for data exploration. The cluster has 10 workers, but the utilization metrics show that the average CPU usage is below 10% for most of the day. The team wants to reduce costs without affecting the availability of the cluster for ad-hoc queries. What should they do?
Select an answer first - 45
A data engineer wants to check the amount of memory and disk used by each executor to identify potential resource bottlenecks. Which tab in the Spark UI should they use?
Select an answer first
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