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DEA-C01 · Question #98

A manufacturing company has many IoT devices in facilities around the world. The company uses Amazon Kinesis Data Streams to collect data from the devices. The data includes device ID, capture date, m

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Data Ingestion and Transformation

Question

A manufacturing company has many IoT devices in facilities around the world. The company uses Amazon Kinesis Data Streams to collect data from the devices. The data includes device ID, capture date, measurement type, measurement value, and facility ID. The company uses facility ID as the partition key. The company's operations team recently observed many WriteThroughputExceeded exceptions. The operations team found that some shards were heavily used but other shards were generally idle. How should the company resolve the issues that the operations team observed?

Options

  • AChange the partition key from facility ID to a randomly generated key.
  • BIncrease the number of shards.
  • CArchive the data on the producer's side.
  • DChange the partition key from facility ID to capture date.

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Topics

#Kinesis Data Streams#Partition Key#Hot Shard#Write Throughput
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