Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You are configuring a new Microsoft Fabric workspace that will be used by multiple data engineering teams. Each team will run complex PySpark notebooks that require autoscaling compute to avoid unnecessary costs. Which workspace setting must you enable to allow notebooks to automatically scale executors up and down during a Spark session?
In Microsoft Fabric, autoscaling for Spark sessions is controlled at the workspace level by the Enable dynamic executor allocation setting. When this setting is turned on, the Spark pool can add or remove executors during a session based on workload demands, helping control costs. Changing the default session timeout affects idle-time shutdown only, and increasing the driver node size or enabling GPU support impacts performance characteristics but does not provide automatic scaling of executors within a running session.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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