Spark Structured Streaming and Sqoop Lecture Quiz
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Questions and Answers

What is Structured Streaming built on?

  • Hadoop MapReduce
  • Spark SQL engine (correct)
  • Apache Kafka
  • Apache Flink

How are streaming computations expressed in Structured Streaming?

  • By writing custom streaming scripts
  • Using a separate API from batch computations
  • By utilizing Hadoop's streaming capabilities
  • In the same way as batch computations on static data (correct)

How are Structured Streaming queries processed by default?

  • Using a stream processing engine
  • Using a real-time processing engine
  • Using a traditional batch processing engine
  • Using a micro-batch processing engine (correct)

What type of latencies can be achieved by the default processing engine in Structured Streaming?

<p>End-to-end latencies as low as 100 milliseconds (D)</p> Signup and view all the answers

What guarantees are provided by the default processing engine in Structured Streaming?

<p>Exactly-once fault-tolerance guarantees (C)</p> Signup and view all the answers

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