Apache Spark Multiple Choice Questions – Part 5 1


Objective

This Apache Spark Quiz is designed to test your Spark knowledge. It contains frequently asked Spark multiple choice questions along with the detailed explanation of their answers. These Spark quiz questions cover all the basic components of Spark ecosystem. Hope this objective type questions on Spark will help you to Spark interview preparation.

Top Apache Spark Multiple Choice Questions with Answers

Best Apache Spark Multiple Choice Questions and Answers

Q.1 We can use Spark over Hadoop in-

For detailed description follow: Spark – Hadoop Compatibility

Q.2 Which of the following is module for Structured data processing?

For detailed description follow: Spark – Ecosystem Components

Q.3 Which of the following is fundamental datastructure of Spark?

For detailed description follow: Spark – RDD

Q.4 DataFrame in Apache Spark prevails over RDD and doesnot contain any feature of RDD.

For detailed description follow: Spark SQL – DataFrame

Q.5 Which of the following are common feature of RDD and DataFrame?

For detailed description follow: RDD vs DataFrame

Q.6 Which of the following is not true for DataFrame?

For detailed description follow: Spark SQL – DataFrame

Q.7 We can create DataFrame using-

For detailed description follow: Spark SQL – DataFrame

Q.8 RDD allows Java serialization.

For detailed description follow: Spark – RDD

Q.9 Which of the following is not true for Apache Spark Execution?

For detailed description follow: Apache Spark working

Q.10 If we launch the application through Spark submit, application jar doesnot gets distributed to all worker nodes.

For detailed description follow: Apache Spark working

Q.11 When SQL run from the other programming language the result will be-

For detailed description follow: Spark SQL – Introduction Tutorial

Q.12 Which of the following are uses of Apache Spark SQL?

For detailed description follow: Spark SQL – Introduction Tutorial

Q.13 With the help of Spark SQL, we can query structured data as a distributed dataset (RDD).

For detailed description follow: Spark SQL – Introduction Tutorial

Q.14 Which of the following is true for Spark SQL?

For detailed description follow: Spark SQL – Introduction Tutorial

Q.15 Which of the followimg is true for Catalyst optimizer?

For detailed description follow: Spark SQL – Optimization

Q.16 The Dataset API is accessible in-

For detailed description follow: Spark DataSet Tutorial

Q.17 Does Dataset API support Python and R.

For detailed description follow: Spark DataSet Tutorial

Q.18 which of the following provide object-oriented programming interface?

For detailed description follow: Spark DataSet Tutorial

Q.19 Which of the following the data is organised into named coloumn?

For detailed description follow: Spark SQL DataFrame

Q.20 Spark SQL can connect through JDBC or ODBC.

For detailed description follow: Spark SQL – Introduction Tutorial

Are you preparing for Spark developer job??? Refer these top 50+ Apache Spark Interview Questions and Answers for the best Spark interview preparation.

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