Spark Streaming | Fresco Play

Question 1: For every batch interval, the Driver launches tasks to process a block.

Answer: True

Question 2: Spark Streaming has two categories of sources - Basic sources and Advanced sources.

Answer: True

Question 3: Batch interval is configured at _____.

Answer: creating Spark Streaming Context

Question 4: What does saveAsTextFiles(prefix, [suffix]) do?

Answer: Save this DStream's contents as text files

Question 5: What is a Window Duration/Size?

Answer: Interval at which a certain fold operation is done on top of Dstreams.

Question 6: Who is responsible for keeping track of the Block Ids?

Answer: Block Management Master in the Driver

Question 7: Dstreams are immutable. Choose the right option.

Answer: Yes,Like RDD Dstreams are immutable

Question 8: Which among the following are Basic Sources of Spark Streaming?

Answer: File systems

Question 9: Mllib and Spark SQL can work on top of the data taken up via Spark Streaming.

Answer: True

Question 10: What is a Sliding Interval?

Answer: Interval at which sliding of the window area occur.

Question 11: Which among the following is true about Window Operations?

Answer: All the options

Question 12: Benefits of Discretized Stream Processing are ___________.

Answer: All the options

Question 13: We specify ___________ when we create streaming context.

Answer: batch interval

Question 14: Dstreams are _______.

Answer: Collection of RDD

Question 15: Which among the following can act as a data sink for Spark Streaming?

Answer: All the options

Question 16: What is the strategy taken in order to prevent loss of the incoming stream?

Answer: Data is replicated in different nodes

Question 17: DStream represents a continuous stream of data.

Answer: True

Question 18: What is a batch Interval?

Answer: Interval at which a Dstream is created

Question 19: reduceByKey is a _________.

Answer: Action

Question 20: With Spark Streaming, the incoming data is split into micro batches.

Answer: True

Question 21: Which of the following transformations can be applied to a Dstream?

Answer: All the options

Question 22: What is the programming abstraction in Spark Streaming?

Answer: Dstreams

Question 23: Dstreams are internally _______.

Answer: Collection of RDD

Question 24: Reciever recieves data from the Streaming sources at the start of _________.

Answer: Streaming Context

Question 25: Which among the following is true about Spark Streaming?

Answer: All the options

Question 26: Applying transformations on top of a Dsteam will yield _______.

Answer: A new Dstream

Question 27: We cannot configure Twitter as a data source system for Spark Streaming.

Answer: False

Question 28: Dstreams are internally, a collection of _______.

Answer: RDD

Question 29: HDFS cannot be a sink for Spark Streaming.

Answer: False

Question 30: Which among the following can act as a data source for Spark Streaming?

Answer: All the options

Question 31: Dstreams cannot be created directly from sources such as Kafka and Flume.

Answer: False

Question 32: Dstreams can be created from an existing Dstream.

Answer: True

Question 33: How can a Dstream be created?

Answer: None of the options

Question 34: Spark streaming converts the input data streams into ______.

Answer: micro-batches

Question 35: Internally DStream is represented as a sequence of _____ arriving at discrete time intervals.

Answer: RDD

Question 36: Choose the correct statement.

Answer: All the options

Question 37: The receiver divides the stream into blocks and keeps them in memory.

Answer: True

Question 38: ssc.start() is the entry point for a Streaming application.

Answer: True

Question 39: Starting point of a streaming application is _______.

Answer: ssc.start()

Question 40: Sliding Interval is the interval at which sliding of the window area occur.

Answer: True

Question 41: There can be multiple Dstreams in a single window.

Answer: True

Question 42: When is a batch interval defined?

Answer: creation of Streaming context

Question 43: Data sources for Spark Streaming that comes under the 'Advanced sources' category include ________.

Answer: All the options

Question 44: Spark Streaming can be used for real-time processing of data.

Answer: True

Question 45: Block Management Master keeps track of ___.

Answer: Block id

Question 46: Block Management units in the worker node reports to ____.

Answer: Block Management Master in the Driver

Question 47: Which among the following needs to be a multiple of batch interval?

Answer: All the options

Question 48: The basic programming abstraction of Spark Streaming is _______.

Answer: RDD