Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You administer a Fabric workspace with several lakehouses and notebooks. Data engineers report that their interactive Spark sessions shut down after 15 minutes of inactivity. You must ensure sessions can stay idle for up to 90 minutes without ending. In the Fabric portal, which workspace Spark setting should you adjust to meet this requirement universally?
Dynamic allocation threshold in the workspace's Spark settings
Driver memory size in the workspace's Spark settings
Session idle timeout in the workspace's Spark settings
Maximum task parallelism in the workspace's Spark settings
In Microsoft Fabric, each workspace includes a Spark section under Workspace settings where administrators set defaults for all interactive sessions. The setting named "Session idle timeout" determines how long an interactive Spark session remains alive when no commands are executed. Changing this value to 90 minutes updates the default for every future notebook session in the workspace. Other settings such as Driver memory size, Maximum task parallelism, and Dynamic allocation threshold relate to resource usage and performance, not session longevity.
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What does the 'Session idle timeout' setting control in Spark?
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How does adjusting other Spark settings like Driver memory size or Maximum task parallelism differ from changing 'Session idle timeout'?
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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