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Microsoft

DP-700 · Question #67

You have a Fabric notebook named Notebook1 that has been executing successfully for the last week. During the last run, Notebook1 executed nine jobs. You need to view the jobs in a timeline chart…

The correct answer is E. The run series from the details of the application run. To view the execution of multiple jobs within a specific Fabric notebook run as a timeline chart, you should access the run series from the details of the application run.

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Question

You have a Fabric notebook named Notebook1 that has been executing successfully for the last week. During the last run, Notebook1 executed nine jobs. You need to view the jobs in a timeline chart. What should you use?

Options

  • AReal-time hub
  • BMonitoring hub
  • CThe job history from the application run
  • DSpark History Server
  • EThe run series from the details of the application run

How the community answered

(19 responses)
  • A
    5% (1)
  • C
    5% (1)
  • E
    89% (17)

Why each option

To view the execution of multiple jobs within a specific Fabric notebook run as a timeline chart, you should access the run series from the details of the application run.

AReal-time hub

Real-time hub provides general Fabric event monitoring but not detailed Spark job timelines for a specific notebook run.

BMonitoring hub

Monitoring hub shows pipeline and notebook run statuses but typically does not offer the granular Spark job timeline within a single notebook execution without drilling down further into run details.

CThe job history from the application run

'The job history from the application run' is too generic; the specific interface for this in Fabric is typically found within the run details or run series for a notebook.

DSpark History Server

Spark History Server is an external tool for detailed Spark application analysis, but in Fabric, the integrated experience for viewing job timelines for a notebook run is usually within the Fabric portal itself.

EThe run series from the details of the application runCorrect

When a Fabric notebook runs, it often executes multiple Spark jobs. The 'run series' or 'application details' view for a specific notebook run provides a comprehensive breakdown of these individual Spark jobs, including their execution order and duration, often visualized as a timeline.

Concept tested: Monitoring Spark jobs within Fabric notebooks

Source: https://learn.microsoft.com/en-us/fabric/data-engineering/monitor-spark-jobs

Topics

#Fabric notebooks#Spark job monitoring#Application run details

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