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Answer: Leverage Kinesis Data Firehose for S3 storage and Kinesis Data Analytics for real-time data analysis.
Option D is the correct answer because using Amazon Kinesis Data Firehose simplifies the process by automatically loading streaming data into AWS data stores, such as S3, with built-in support for Amazon Kinesis Data Analytics. This solution ensures data encryption, storage in Apache Parquet format, and near-real-time analysis with minimal operational overhead. Other options involve more manual setup and management of services, resulting in higher operational overhead.
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A company with a mobile app used by one million users requires a solution to analyze, encrypt, and store data in Apache Parquet format in near-real time with minimal operational overhead. Which AWS service combination is most suitable?
A
Use Amazon Kinesis for streaming data to S3, employ Kinesis Data Analytics for processing, and AWS Lambda for data flow management.
B
Ingest data with Amazon Kinesis into S3, analyze with an Amazon EMR cluster, and use AWS Lambda for data routing.
C
Directly store data in S3 via Kinesis Data Firehose and analyze with an Amazon EMR cluster.
D
Leverage Kinesis Data Firehose for S3 storage and Kinesis Data Analytics for real-time data analysis.