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A company collects air quality data from sensors.

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A company collects air quality data from sensors. The company plans to use the MQTT protocol to send the data to AWS IoT Core. The company will process the data and then will store the data in an Amazon Aurora database.

During periods of low air quality, sensors will send data more frequently. The company must buffer the data during these periods to make sure that no data is lost before the data is processed and stored.

Which solution will meet these requirements?

A.

Create an Amazon Kinesis data stream. Create an AWS IoT rule action and set the data stream as the target. Create an AWS Step Functions state machine that is invoked by the data stream. Use the state machine to process and store the data.

B.

Create an Amazon Kinesis data stream. Create an AWS IoT rule action and set the data stream as the target. Create an application that runs on an Amazon ECS cluster with the AWS Fargate launch type. Configure the application to read data from the data stream, process the data, and store the data.

C.

Create an Amazon SQS queue. Create an AWS IoT rule action and set the SQS queue as the target. Create an AWS Step Functions state machine that is invoked by the SQS queue. Use the state machine to process and store the data.

D.

Create an Amazon SNS topic. Create an AWS IoT rule action and set the SNS topic as the target. Create an application that runs on an Amazon ECS cluster with the AWS Fargate launch type. Configure the application to read data from the SNS topic, process the data, and store the data.

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