In a scenario where you are working with a data pipeline that ingests real-time IoT device data, you need to implement a partition strategy for streaming workloads in Azure Data Lake Storage Gen2. What partitioning approach would you recommend, and how would you implement it to ensure efficient data processing and querying?

Simulated

Implement a partition strategy based on the device ID, as it is the most important attribute for query performance.

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Create a partition strategy based on the timestamp of data ingestion, allowing for efficient querying of data within specific time ranges.

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Use a hash-based partitioning method to distribute the data evenly across multiple partitions, regardless of the data's characteristics.

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Do not implement any partition strategy, as it is not necessary for streaming workloads in Azure Data Lake Storage Gen2.

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Microsoft Azure Data Engineer Associate - DP-203