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Exam AWS Certified Solutions Architect - Associate SAA-C02 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C02 topic 1 question 598 discussion

A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data. Invoke an AWS Lambda function to send the data to the Kinesis Data Analytics application.
  • B. Create an Amazon Kinesis data stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data. Invoke an AWS Lambda function to send the data to the EMR cluster.
  • C. Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon EMR cluster to analyze the data.
  • D. Create an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Create an Amazon Kinesis Data Analytics application to analyze the data.
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Suggested Answer: D 🗳️

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jw1806
2 years, 8 months ago
Selected Answer: D
LEAST operational overhead and near real time, D seems to be the choice.
upvoted 2 times
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nymets
2 years, 8 months ago
Selected Answer: D
Amazon Kinesis Data Firehose can convert the format of your input data from JSON to Apache Parquet or Apache ORC before storing the data in Amazon S3. Amazon Kinesis Data Analytics for real time analytics
upvoted 2 times
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