DEA-C01 Exam Dumps | A company aggregates high-frequency sensor telemetry into an Amazon S3 data lake. Each sensor stream

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Question 121/168

A company aggregates high-frequency sensor telemetry into an Amazon S3 data lake. Each sensor stream emits structured records every hour. The records include metadata such as sensor category, unit ID, operational state, event timestamp, and site location. The data scales up to millions of records each day. The company runs complex queries each day to uncover performance insights specific to sensor categories. Which solution will meet these requirements with the FASTEST query execution time?

A. Persist the data in Apache ORC format. Partition the data by date. Sort the data by sensor category.

B. Persist the data in CSV format. Partition the data by date. Sort the data by operational status.

C. Persist the data in Parquet format. Partition the data by sensor category. Sort the data by date

D. Persist the data in CSV format. Partition the data by date. Sort the data by sensor category.

Correct Answer: C

Parquet is a columnar storage format that significantly improves query performance for analytical workloads by reading only the required columns and applying efficient compression. Partitioning by sensor category aligns directly with the primary query filter, which minimizes the amount of data scanned. Sorting by date further improves query efficiency for time-based filtering within each partition, resulting in the fastest query execution.

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