Question 21 : Crunch uses Java serialization to serialize the contents of all of the ______ in a pipeline definition
1. Transient
2. DoFns
3. Configuration
4. All of the mentioned
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Question 22 : PCollection, PTable, and PGroupedTable all support a __________ operation.
1. intersection
2. union
3. OR
4. None of the mentioned
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Question 23 : __________ represent the logical computations of your Crunch pipelines.
1. DoFns
2. DoFn
3. ThreeFns
4. None of the mentioned
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Question 24 : ___________ executes the pipeline as a series of MapReduce jobs.
1. SparkPipeline
2. MRPipeline
3. MemPipeline
4. None of the mentioned
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Question 25 : A __________ represents a distributed, immutable collection of elements of type T.
1. PCollect
2. PCollection
3. PCol
4. All of the mentioned
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Question 26 : Hive, Pig, and Cascading all use a _________ data model .
1. value centric
2. columnar
3. tuple-centric
4. none of the mentioned
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Question 27 : Crunch was designed for developers who understand __________ and want to use MapReduce effectively.
1. Java
2. Python
3. Scala
4. Javascript
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Question 28 : The Crunch APIs are modeled after _________ , which is the library that Google uses for building data pipelines on top of their own implementation of MapReduce.
1. FlagJava
2. FlumeJava
3. FlakeJava
4. All of the mentioned
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Question 29 : For Scala users, there is the __________ API, which is built on top of the Java APIs
1. Prunch
2. Scrunch
3. Hivench
4. All of the mentioned
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Question 30 : The Apache Crunch Java library provides a framework for writing, testing, and running ___________ pipelines.
1. MapReduce
2. Pig
3. Hive
4. None of the mentioned
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