Hadoop Spark MCQs

This section focuses on "Spark" of Hadoop. These Multiple Choice Questions (MCQ) should be practiced to improve the hadoop skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.

1. Spark is best suited for ______ data.

A. Real-time
B. Virtual
C. Structured
D. All of the above

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2. Which of the following Features of Apache Spark?

A. Speed
B. Supports multiple languages
C. Advanced Analytics
D. All of the above

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3. In how many ways Spark uses Hadoop?

A. 2
B. 3
C. 4
D. 5

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4. When was Apache Spark developed ?

A. 2007
B. 2008
C. 2009
D. 2010

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5. Which of the following is incorrect way for Spark deployment?

A. Standalone
B. Hadoop Yarn
C. Spark in MapReduce
D. Spark SQL

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6. ____________ is a component on top of Spark Core.

A. Spark Streaming
B. Spark SQL
C. RDDs
D. None of the above

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7. ________ is a distributed graph processing framework on top of Spark.

A. MLlib
B. Spark Streaming
C. GraphX
D. None of the above

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8. Point out the correct statement.

A. Spark enables Apache Hive users to run their unmodified queries much faster
B. Spark interoperates only with Hadoop
C. Spark is a popular data warehouse solution running on top of Hadoop
D. All of the above

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9. Which of the following can be used to launch Spark jobs inside MapReduce?

A. SIM
B. SIMR
C. SIR
D. RIS

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10. Which of the following language is not supported by Spark?

A. Python
B. Scala
C. Java
D. Pascal

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