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10 Modules
What is the primary abstraction used in Apache Spark Structured Streaming?
DataFrame
DStream
Dataset
RDD
Which of the following is a key feature of Spark Structured Streaming?
Event-time processing
Micro-batch processing
Support for stateful operations
Support for batch processing only
What is the purpose of watermarking in Spark Structured Streaming?
To manage the state of streaming applications
To handle late arriving data
To optimize memory usage
To improve fault tolerance
Which of the following formats can be used for input sources in Spark Structured Streaming?
Kafka
File
Socket
All of the above
In Spark Structured Streaming, what is the role of the 'trigger'?
To define the frequency of micro-batches
To specify the output mode
To manage stateful operations
To handle errors in streaming jobs
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10 Modules