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Microsoft Fabric Analytics Engineer Associate DP-600

Microsoft Fabric Analytics Engineer Associate DP-600

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You are managing a Fabric tenant with a lakehouse named Lakehouse1. This lakehouse receives readings from 100 IoT devices, and these readings are appended to a Delta table within Lakehouse1. Each reading set is roughly 25 KB, amounting to approximately 10 GB of data per day. All the table and SparkSession settings are currently at their defaults. Recently, you have noticed that query execution is slow. Additionally, the lakehouse storage includes obsolete data and log files.

Your task is to enhance performance by removing these unused files and consolidating smaller files into larger files, aiming for a target file size of 1 GB each. To accomplish this, identify the appropriate actions for each requirement. Each action can be used once, multiple times, or not at all. You may need to adjust the split bar between panes or scroll to see the full content. NOTE: Each correct selection is worth one point.

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