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DAS-C01 · Question #20

DAS-C01 Question #20: Real Exam Question with Answer & Explanation

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Question

A transportation company uses IoT sensors attached to trucks to collect vehicle data for its global delivery fleet. The company currently sends the sensor data in small .csv files to Amazon S3. The files are then loaded into a 10-node Amazon Redshift cluster with two slices per node and queried using both Amazon Athena and Amazon Redshift. The company wants to optimize the files to reduce the cost of querying and also improve the speed of data loading into the Amazon Redshift cluster. Which solution meets these requirements?

Options

  • AUse AWS Glue to convert all the files from .csv to a single large Apache Parquet file.
  • BUse Amazon EMR to convert each .csv file to Apache Avro.
  • CUse AWS Glue to convert the files from .csv to a single large Apache ORC file.
  • DUse AWS Glue to convert the files from .csv to Apache Parquet to create 20 Parquet files.

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Topics

#Data Format Optimization#Apache Parquet#AWS Glue ETL#Redshift Data Loading
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