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Answer: Modify Kinesis Data Streams default settings.
The correct answer is A: Modify Kinesis Data Streams default settings. The issue is that the default data retention period for Kinesis Data Streams might be too short, causing data to be lost before it can be consumed and written to S3. By increasing the data retention period, the application will have enough time to process and transfer the data to S3, ensuring no data is lost.
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A company's application on Amazon EC2 sends large streaming data to Kinesis Data Streams with default settings. The data is consumed every other day and written to an S3 bucket for BI processing. However, S3 is not receiving all the data. What action should a solutions architect take to address this?
A
Modify Kinesis Data Streams default settings.
B
Implement Kinesis Producer Library in the application.
C
Increase Kinesis shards to manage data throughput.
D
Enable S3 Versioning for object version preservation.
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