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Data Operations and SupportmediumMultiple ChoiceObjective-mapped

DEA-C01 Data Operations and Support Practice Question

A data engineer is troubleshooting a Kinesis Data Analytics application that processes streaming data. The application is falling behind, and the metric 'MillisBehindLatest' is consistently above 60000. The source Kinesis stream has 10 shards, and the application uses a Flink application with default parallelism. What is the MOST likely cause of the lag?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

The Flink application parallelism is set to 1.

In Kinesis Data Analytics with Flink, the default parallelism is 1. With 10 shards in the source Kinesis stream, a single parallel task must read from all shards, creating a bottleneck and causing the 'MillisBehindLatest' metric to be consistently high (above 60000). Option A is wrong because while a throttling sink can cause backpressure, the question specifically states the application is falling behind and the metric is high, which is more directly explained by insufficient parallelism. Option C is wrong because 10 shards is typically sufficient; the issue is how they are consumed. Option D is wrong because the retention period does not affect the lag metric; it only controls how long data is stored.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The sink (destination) is throttling writes.

    Why it's wrong here

    The lag is measured at the source, not the sink.

  • The Flink application parallelism is set to 1.

    Why this is correct

    Default parallelism of 1 causes a single consumer to process all shards.

  • The Kinesis stream has too few shards.

    Why it's wrong here

    10 shards is reasonable; the issue is parallelism.

  • The retention period of the Kinesis stream is too short.

    Why it's wrong here

    Retention period does not cause lag.

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