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A mining company is using Amazon S3 as its data lake.

A mining company is using Amazon S3 as its data lake. The company wants to analyze the data collected by the sensors in its mines. A data pipeline is being built to capture data from the sensors, ingest the data into an S3 bucket, and convert the data to Apache Parquet format. The data pipeline must be processed in near-real time. The data will be used for on-demand queries with Amazon Athena.

Which solution will meet these requirements?

A.

Use Amazon Data Firehose to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.

B.

Use Amazon Kinesis Data Streams to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.

C.

Use AWS DataSync to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.

D.

Use Amazon Simple Queue Service (Amazon SQS) to stream data directly to an AWS Glue job that converts the data to Parquet format and stores the data in Amazon S3.

Amazon Web Services SAA-C03 Summary

  • Vendor: Amazon Web Services
  • Product: SAA-C03
  • Update on: Aug 16, 2026
  • Questions: 954
Price: $52.5  $149.99
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