DEA-C01 · Question #215
A data engineer uses Amazon Kinesis Data Streams to ingest and process records that contain user behavior data from an application every day. The data engineer notices that the data stream is experien
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Question
A data engineer uses Amazon Kinesis Data Streams to ingest and process records that contain user behavior data from an application every day. The data engineer notices that the data stream is experiencing throttling because hot shards receive much more data than other shards in the data stream. How should the data engineer resolve the throttling issue?
Options
- AUse a random partition key to distribute the ingested records.
- BIncrease the number of shards in the data stream. Distribute the records across the shards.
- CLimit the number of records that are sent each second by the producer to match the capacity of
- DDecrease the size of the records that the producer sends to match the capacity of the stream.
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