Hadoop Spark MCQs

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

View Answer

2. Which of the following Features of Apache Spark?

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

View Answer

3. In how many ways Spark uses Hadoop?

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

View Answer

4. When was Apache Spark developed ?

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

View Answer

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

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

View Answer

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

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

View Answer

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

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

View Answer

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

View Answer

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


View Answer

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

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

View Answer


* You must be logged in to add comment.