Hadoop Online Quiz

Q 1 - As compared to RDBMS, Hadoop

A - Has higher data Integrity.

B - Does ACID transactions

C - IS suitable for read and write many times

D - Works better on unstructured and semi-structured data.

Q 2 - User applications can instruct the namenode to cache the files by

A - adding cache file names to cache pool

B - adding cache config to cache pool

C - adding cache directive to cache pool

D - passing the file names as parameters to the cache pool

Q 3 - Which of the following is not a fencing mechanism for a previously active namenode?

A - Disabling its network port via a remote management command.

B - Revoking its access to shared storage directory.

C - Formatting its disk drive.

D - STONITH

Q 4 - The hadoop frame work is written in

A - C++

B - Python

C - Java

D - GO

Q 5 - The role of a Journal node is to

A - Report the location of the blocks in a data node

B - Report the edit log information of the blocks in the data node.

C - Report the Schedules when the jobs are going to run

D - Report the activity of various components handled by resource manager

Q 6 - When a machine is declared as a datanode, the disk space in it

A - Can be used only for HDFS storage

B - Can be used for both HDFS and non-HDFs storage

C - Cannot be accessed by non-hadoop commands

D - cannot store text files.

Q 7 - If we increase the size of files stored in HDFS without increasing the number of files, then the memory required by namenode

A - Decreases

B - Increases

C - Remains unchanged

D - May or may not increase

Q 8 - Job tracker runs on

A - Namenode

B - Datanode

C - Secondary namenode

D - Secondary datanode

Q 9 - What is HBASE?

A - Hbase is separate set of the Java API for Hadoop cluster.

B - Hbase is a part of the Apache Hadoop project that provides interface for scanning large amount of data using Hadoop infrastructure.

C - Hbase is a "database" like interface to Hadoop cluster data.

D - HBase is a part of the Apache Hadoop project that provides a SQL like interface for data processing.

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.