AWS Certified Data Engineer Associate DEA-C01 Practice Question
An automotive manufacturer must ingest about 30,000 JSON events per second from factory sensors. Each event is 5 KB and the analytics application consuming the data must begin processing each event within 300 ms of its arrival. Which AWS service best meets the required throughput and latency while minimizing operational overhead?
Amazon Kinesis Data Streams with on-demand capacity mode
Amazon Kinesis Data Firehose delivering to an S3 bucket with default buffering
AWS DataSync agent mounted on the factory network writing to Amazon S3
Devices perform multipart uploads directly to Amazon S3
Amazon Kinesis Data Streams can continuously accept tens of thousands of records per second and makes each record available to downstream consumers in typically less than 200 ms, satisfying the 300 ms requirement. Kinesis Data Firehose buffers data for at least 1 MiB or 60 seconds before delivery, far exceeding the latency budget. Uploading directly to Amazon S3 or using AWS DataSync involves writing complete objects to S3, which introduces seconds to minutes of latency and is not intended for high-frequency streaming ingestion.
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AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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