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Welcome to the Hadoop Frameworks MCQs Page

Dive deep into the fascinating world of Hadoop Frameworks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop Frameworks, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop Frameworks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

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Check out the MCQs below to embark on an enriching journey through Hadoop Frameworks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Hadoop Frameworks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop Frameworks MCQs | Page 1 of 20

Q1.
Spark was initially started by ____________ at UC Berkeley AMPLab in 2009.
Discuss
Answer: (b).Matei Zaharia
Q2.
____________ is a component on top of Spark Core.
Discuss
Answer: (b).Spark SQL
Q3.
Spark SQL provides a domain-specific language to manipulate ___________ in Scala, Java, or Python.
Discuss
Answer: (c).RDDs
Q4.
______________ leverages Spark Core fast scheduling capability to perform streaming analytics.
Discuss
Answer: (b).Spark Streaming
Q5.
____________ is a distributed machine learning framework on top of Spark.
Discuss
Answer: (a).MLlib
Q6.
________ is a distributed graph processing framework on top of Spark.
Discuss
Answer: (c).GraphX
Q7.
GraphX provides an API for expressing graph computation that can model the __________ abstraction.
Discuss
Answer: (c).Pregel
Q8.
Spark architecture is ___________ times as fast as Hadoop disk-based Apache Mahout and even scales better than Vowpal Wabbit.
Discuss
Answer: (a).10
Q9.
Users can easily run Spark on top of Amazon’s __________
Discuss
Answer: (b).EC2
Q10.
Spark runs on top of ___________ a cluster manager system which provides efficient resource isolation across distributed applications.
Discuss
Answer: (b).Mesos
Page 1 of 20

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