Hadoop Online Quiz

Q 1 - What is the main problem faced while reading and writing data in parallel from multiple disks?

A - Processing high volume of data faster.

B - Combining data from multiple disks.

C - The software required to do this task is extremely costly.

D - The hardware required to do this task is extremely costly.

Q 2 - Under HDFS federation

A - Each namenode manages metadata of the entire filesystem.

B - Each namenode manages metadata of a portion of the filesystem.

C - Failure of one namenode causes loss of some metadata availability from the entire filesystem.

D - Each datanode registers with each namenode.

Q 3 - The client reading the data from HDFS filesystem in Hadoop

A - gets the data from the namenode

B - gets the block location from the datanode

C - gets only the block locations form the namenode

D - gets both the data and block location from the namenode

Q 4 - The file in Namenode which stores the information mapping the data block location with file name is −

A - dfsimage

B - nameimage

C - fsimage

D - image

Q 5 - In Hadoop, Snappy and LZO are examples of

A - Mechanisms of file transport between data nodes

B - Mechanisms of data compression

C - Mechanisms of data Replication

D - Mechanisms of Data synchronization

Q 6 - Rack awareness in name node means

A - It is aware how many racks are available in the cluster

B - It is aware of the mapping between the node and the rack

C - It is aware of the number of nodes in each of the rack

D - It is aware which data nodes are unavailable in the cluster.

Q 7 - The data from a remote hadoop cluster can

A - not be read by another hadoop cluster

B - be read using http

C - be read using hhtp

D - be read suing hftp

Q 8 - In a HDFS system with block size 64MB we store a file which is less than 64MB. Which of the following is true?

A - The file will consume 64MB

B - The file will consume more than 64MB

C - The file will consume less than 64MB.

D - Can not be predicted.

Q 9 - Which one of the following is not true regarding to Hadoop?

A - It is a distributed framework.

B - The main algorithm used in it is Map Reduce

C - It runs with commodity hard ware

D - All are true

Q 10 - Which of the following is false about RawComparator ?

A - Compare the keys by byte.

B - Performance can be improved in sort and suffle phase by using RawComparator.

C - Intermediary keys are deserialized to perform a comparison.