Which of the following statements is false?
A) By default, Spark streaming maintains state information as you process the stream of RDDs.
B) You can use Spark checkpointing to keep track of the streaming state. Checkpointing enables xe "Spark (Apache) :fault-tolerance in streaming"xe "fault tolerance:Spark streaming"fault-tolerance for restarting a stream in cases of cluster node or Spark application failures, and xe "Spark (Apache) :stateful transformations in streaming"xe "stateful transformations (Spark streaming) "stateful transformations, such as summarizing the data received so far-as we're doing in this example.
C) StreamingContext method checkpoint sets up a checkpointing folder where state information is stored, as in: ssc.checkpoint('hashtagsummarizer_checkpoint')
D) For a Spark streaming application in a cloud-based cluster, you'd specify a location within xe "HDFS (Hadoop Distributed File System) "HDFS to store the checkpoint folder.
Correct Answer:
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