Hadoop Online Quiz

Q 1 - The concept using multiple machines to process data stored in distributed system is not new.

The High-performance computing (HPC) uses many computing machines to process large volume of data stored in a storage area network (SAN). As compared to HPC, Hadoop

A - Can process a larger volume of data.

B - Can run on a larger number of machines than HPC cluster.

C - Can process data faster under the same network bandwidth as compared to HPC.

D - Cannot run compute intensive jobs.

Q 2 - When a client communicates with the HDFS file system, it needs to communicate with

A - only the namenode

B - only the data node

C - both the namenode and datanode

D - None of these

Q 3 - The following is not permitted on HDFS files

A - Deleting

B - Renaming

C - Moving

D - Executing.

Q 4 - The hadoop frame work is written in

A - C++

B - Python

C - Java

D - GO

Q 5 - The input split used in MapReduce indicates

A - The average size of the data blocks used as input for the program

B - The location details of where the first whole record in a block begins and the last whole record in the block ends.

C - Splitting the input data to a MapReduce program into a size already configured in the mapred-site.xml

D - None of these

Q 6 - The source of HDFS architecture in Hadoop originated as

A - Google distributed filesystem

B - Yahoo distributed filesystem

C - Facebook distributed filesystem

D - Azure distributed filesystem

Q 7 - When you increase the number of files stored in HDFS, The memory required by namenode

A - Increases

B - Decreases

C - Remains unchanged

D - May increase or decrease

Q 8 - Which of the following is not a scheduling option available in YARN

A - Balanced scheduler

B - Fair scheduler

C - Capacity scheduler

D - FiFO schesduler.

Q 9 - Which technology is used to import and export data in Hadoop?

A - HBase

B - Avro

C - Sqoop

D - Zookeeper

Q 10 - Which one of the following statements is false regarding the Distributed Cache?

A - The Hadoop framework will ensure that any files in the Distributed Cache are distributed to all map and reduce tasks.

B - The files in the cache can be text files, or they can be archive files like zip and JAR files.

C - Disk I/O is avoided because data in the cache is stored in memory.

D - The Hadoop framework will copy the files in the Distributed Cache on to the slave node before any tasks for the job are executed on that node.