Explore topic-wise MCQs in Hadoop.

This section includes 8 Mcqs, each offering curated multiple-choice questions to sharpen your Hadoop knowledge and support exam preparation. Choose a topic below to get started.

1.

__________ represent the logical computations of your Crunch pipelines.

A. DoFns
B. DoFn
C. ThreeFns
D. None of the mentioned
Answer» B. DoFn
2.

___________ executes the pipeline as a series of MapReduce jobs.

A. SparkPipeline
B. MRPipeline
C. MemPipeline
D. None of the mentioned
Answer» C. MemPipeline
3.

A __________ represents a distributed, immutable collection of elements of type T.

A. PCollect<T>
B. PCollection<T>
C. PCol<T>
D. All of the mentioned
Answer» C. PCol<T>
4.

Hive, Pig, and Cascading all use a _________ data model.

A. value centric
B. columnar
C. tuple-centric
D. none of the mentioned
Answer» D. none of the mentioned
5.

Crunch was designed for developers who understand __________ and want to use MapReduce effectively.

A. Java
B. Python
C. Scala
D. Javascript
Answer» B. Python
6.

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.

A. FlagJava
B. FlumeJava
C. FlakeJava
D. All of the mentioned
Answer» C. FlakeJava
7.

For Scala users, there is the __________ API, which is built on top of the Java APIs.

A. Prunch
B. Scrunch
C. Hivench
D. All of the mentioned
Answer» C. Hivench
8.

The Apache Crunch Java library provides a framework for writing, testing, and running ___________ pipelines.

A. MapReduce
B. Pig
C. Hive
D. None of the mentioned
Answer» B. Pig