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Answer: Configure the data producer to retry with an exponential backoff, Increase the number of shards within your data streams to provide enough capacity
Configure the data producer to retry with an exponential backoff Increase the number of shards within your data streams to provide enough capacity Amazon Kinesis Data Streams enables you to build custom applications that process or analyze streaming data for specialized needs. You can continuously add various types of data such as clickstreams, application logs, and social media to an Amazon Kinesis data stream from hundreds of thousands of sources.
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A data analytics company is involved in processing real-time Internet-of-Things (IoT) data streams using the Kinesis Producer Library (KPL). The data is being directed to an application that operates utilizing Kinesis Data Streams. Recently, the application has encountered a problem and stopped processing data, due to a ProvisionedThroughputExceeded exception.
What actions can be taken to resolve this problem and resume normal data processing? (Select two)
A
Configure the data producer to retry with an exponential backoff
B
Use Kinesis enhanced fan-out for Kinesis Data Streams
C
Use Amazon Kinesis Agent instead of Kinesis Producer Library (KPL) for sending data to Kinesis Data Streams
D
Use Amazon SQS instead of Kinesis Data Streams
E
Increase the number of shards within your data streams to provide enough capacity
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