Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A manufacturing company receives thousands of sensor readings per second from its IoT devices. The data must be stored durably, and a Lambda function must run within one second of each write to perform anomaly detection. The solution should scale automatically and minimize operational overhead. Which approach best meets these requirements?

  • Send the readings to AWS IoT Core; use an IoT rule to route them to a Kinesis Data Stream that is consumed by Kinesis Data Analytics, which then invokes the Lambda function.

  • Publish the readings to an Amazon SNS topic, subscribe an Amazon Kinesis Data Firehose delivery stream to load the data into DynamoDB, and invoke the Lambda function every minute with Amazon EventBridge.

  • Store the readings in an Amazon DynamoDB table with on-demand capacity, enable DynamoDB Streams, and configure a Lambda function as a stream consumer.

  • Push the readings to an Amazon SQS queue; configure a Lambda function to poll the queue and write each message to DynamoDB before performing anomaly detection.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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