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Spark Streaming MCQ solution | TCS Fresco Play

Spark Streaming MCQ solution | TCS Fresco Play

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Spark Streaming MCQ solution

Spark Streaming fresco play answers

Spark streaming course answer

spark streaming fresco play course answer

spark streaming

spark streaming answers

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1. Spark Streaming can be used for real-time processing of data. - true


2. The basic programming abstraction of Spark Streaming is _.dstream


3. We cannot configure Twitter as a data source system for Spark Streaming.-false


4. Dstreams are internally, a collection of _.rdd


5. How can a Dstream be created?-both


6. Dstreams can be created from an existing Dstream.- true


7. Internally DStream is represented as a sequence of _ 

arriving at discrete time intervals- rdd


8. Choose the correct statement.-all


9. The receiver divides the stream into blocks and keeps them in memory.-true


10. ssc.start() is the entry point for a Streaming application.-true


11. Block Management units in the worker node reports to ____-block management


12. Block Management Master keeps track of ___none(wrong) block size (wrong)


13. Starting point of a streaming application is - ssc.start()


14. Which among the following is true about Window Operations?-all


15. What is a Window Duration/Size?-fold operation


16. Sliding Interval is the interval at which sliding of the window area occur.-true


17. There can be multiple Dstreams in a single window.-true


18. Which among the following needs to be a multiple of batch interval?-all


19. When is a batch interval defined?-creation


20. Reciever recieves data from the Streaming sources at the start of _.streaming context


21. Which among the following are Basic Sources of Spark Streaming?-kafka 


22. We specify ___ when we create streaming context.-batch


23. What does saveAsTextFiles(prefix, [suffix]) do?-save


24. Batch interval is configured at _creating


25. reduceByKey is a _transformatin 


26. Dstreams are immutable. Choose the right option.-yes


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