Spark Preliminaries MCQs Solution | TCS Fresco Play | Fresco Play

1. Which of the following is NOT a characteristic shared by Hadoop and Spark?

Both have their own file system --correct

2. Apache spark has which of the following capabilities?

All the options --correct

3. Which of the following application types can Spark run in addition to batch-processing jobs?

All the options --correct

4. What kind of data can be handled by Spark ?

All the options --correct

5. What year was Apache Spark made an open source technology?

2010 --correct

6. Spark can store its data in?

All the options --correct

7. The transformation which produces one output value for each input value and the operation which produces an arbitrary number values for each input value.

map(),flatmap()  --correct

8. Choose correct statement

Execution starts with the call of Action   --correct

9. Choose correct statement about RDD

RDD is a distributed data structure --correct

10. Identify correct transformation

All the options  --correct

11. We can edit the data of RDD like conversion to uppercase

False  --correct

12. Which action returns all the elements of the dataset as an array.

collect() --correct

13. RDD is

All the options  --correct

14. An instance of the Spark SQL execution engine that integrates with data stored in Hive:

HiveContext  --correct

15. Spark supports loading data from Hbase.

True  --correct

16. Benefits of using appropriate file formats in Spark

All the options  --correct

17. Which of the following file formats are supported by Spark ?

All the options  --correct

18. Spark can integrate with which of the following data storage systems?

All the options  --correct

19. Which of the following Scala statement would be most appropriate to load the data (sfpd.txt) into an RDD? Assume that SparkContext is available as the variable “sc” and SQLContext as the variable “sqlContext.”

val sfpd=sc.loadFile(“/path to file/sfpd.txt”)

val sfpd=sc.loadText(“/path to file/sfpd.txt”)

val sfpd=sc.textFile(“/path to file/sfpd.txt”)

val sfpd=sqlContext.loadText(“/path to file/sfpd.txt”)

20. Which of the following is true of running a Spark application on Hadoop YARN?

There are two deploy modes that can be used to launch Spark applications on YARN – client mode and cluster mode  --correct

21. Which is responsible for task scheduling and memory management ?

Spark Core  --correct

22. Which tells spark how and where to access a cluster

Spark Context  --correct

23. To launch a Spark application in any one of the four modes(local, standalone, MESOS or YARN) use

./bin/spark-submit  --correct

24. Types of operations that can be performed on RDDs

Action and Map  --correct

25. Which is the default Storage level in Spark ?

MEMORY_ONLY  --correct

26. Which of the following is true of caching the RDD ?

All the options --correct

27. RDDs can also be unpersisted to remove RDD from a permanent storage like memory and/or disk.

True--correct

28. By default Spark uses which algorithm to remove old and unused RDD to release more memory.

Least Recently Used (LRU) --correct

29. Which is not a Storage level in Spark ?

HEAPANDDISK --correct