DEA-C01 · Question #275
A company needs to aggregate and filter a large amount of streaming data in real-time with low latency. The company needs to store the data in Amazon S3 for analysis. Which solution will meet these…
The correct answer is C. Use Amazon Kinesis Data Streams and Amazon Managed Service for Apache Flink to perform. Amazon Kinesis Data Streams with Amazon Managed Service for Apache Flink performs stateful, low-latency streaming aggregations and filtering at scale, then writes results to Amazon S3 - meeting real-time requirements while remaining fully managed and operationally efficient.
Question
A company needs to aggregate and filter a large amount of streaming data in real-time with low latency. The company needs to store the data in Amazon S3 for analysis. Which solution will meet these requirements in the MOST operationally efficient way?
Options
- AUse Amazon Kinesis Data Streams with provisioned capacity and AWS Lambda functions to
- BUse Amazon Data Firehose with built-in data transformations. Deliver the data directly to Amazon
- CUse Amazon Kinesis Data Streams and Amazon Managed Service for Apache Flink to perform
- DUse Amazon Data Firehose and AWS Lambda functions to perform custom transformations and
How the community answered
(32 responses)- A16% (5)
- B31% (10)
- C47% (15)
- D6% (2)
Explanation
Amazon Kinesis Data Streams with Amazon Managed Service for Apache Flink performs stateful, low-latency streaming aggregations and filtering at scale, then writes results to Amazon S3 - meeting real-time requirements while remaining fully managed and operationally efficient.
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