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Answer: Use Kinesis Data Firehose to convert the .csv files to JSON and to store the files in Parquet format.
According to the provided text, the specified answer is B. *(Note: Technically, Amazon Kinesis Data Firehose can only natively convert JSON formatted data to Apache Parquet or ORC formats. In real-world AWS implementations, an AWS Lambda function is typically required to first transform the CSV data into JSON before Firehose handles the conversion to Parquet, which maps to Option D. However, the exact extracted answer provided by the source material is B.)*
Author: Ritesh Yadav
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Question 12
A company plans to use Amazon Kinesis Data Firehose to store data in Amazon S3. The source data consists of 2 MB .csv files. The company must convert the .csv files to JSON format. The company must store the files in Apache Parquet format. Which solution will meet these requirements with the LEAST development effort?
A
Use Kinesis Data Firehose to convert the .csv files to JSON. Use an AWS Lambda function to store the files in Parquet format.
B
Use Kinesis Data Firehose to convert the .csv files to JSON and to store the files in Parquet format.
C
Use Kinesis Data Firehose to invoke an AWS Lambda function that transforms the .csv files to JSON and stores the files in Parquet format.
D
Use Kinesis Data Firehose to invoke an AWS Lambda function that transforms the .csv files to JSON. Use Kinesis Data Firehose to store the files in Parquet format.
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