DOP-C02 · Question #115
A DevOps engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web logs. The DevOps engineer manages the Kinesis…
The correct answer is B. Horizontally scale the Kinesis consumer application by adding more EC2 instances based on the. Operational Efficiency doesn't mean the best solution. In this case, they have develop the app using EC2 and lack autoscaling.
Question
A DevOps engineer manages a large commercial website that runs on Amazon EC2. The website uses Amazon Kinesis Data Streams to collect and process web logs. The DevOps engineer manages the Kinesis consumer application, which also runs on Amazon EC2. Sudden increases of data cause the Kinesis consumer application to fall behind, and the Kinesis data streams drop records before the records can be processed. The DevOps engineer must implement a solution to improve stream handling. Which solution meets these requirements with the MOST operational efficiency?
Options
- AModify the Kinesis consumer application to store the logs durably in Amazon S3. Use Amazon EMR to
- BHorizontally scale the Kinesis consumer application by adding more EC2 instances based on the
- CConvert the Kinesis consumer application to run as an AWS Lambda function. Configure the Kinesis
- DIncrease the number of shards in the Kinesis data streams to increase the overall throughput so that
How the community answered
(47 responses)- A15% (7)
- B77% (36)
- C6% (3)
- D2% (1)
Explanation
Operational Efficiency doesn't mean the best solution. In this case, they have develop the app using EC2 and lack autoscaling.
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