Hadoop Online Quiz
Following quiz provides Multiple Choice Questions (MCQs) related to Hadoop Framework. You will have to read all the given answers and click over the correct answer. If you are not sure about the answer then you can check the answer using Show Answer button. You can use Next Quiz button to check new set of questions in the quiz.
Q 1 - Data locality feature in Hadoop means
A - store the same data across multiple nodes.
B - relocate the data from one node to another.
Answer : C
Q 2 - For the frequently accessed HDFS files the blocks are cached in
A - the memory of the datanode
B - in the memory of the namenode
D - In the memory of the client application which requested the access to these files.
Answer : A
Q 3 - What is are true about HDFS?
A - HDFS filesystem can be mounted on a local client’s Filesystem using NFS.
B - HDFS filesystem can never be mounted on a local client’s Filesystem.
C - You can edit a existing record in HDFS file which is already mounted using NFS.
D - You cannot append to a HDFS file which is mounted using NFS.
Answer : A
Q 4 - The difference between standalone and pseudo-distributed mode is
A - Stand alone cannot use map reduce
B - Stand alone has a single java process running in it.
C - Pseudo distributed mode does not use HDFS
D - Pseudo distributed mode needs two or more physical machines.
Answer : B
Q 5 - The namenode knows that the datanode is active using a mechanism known as
Answer : A
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.
Answer : B
Q 7 - The data from a remote hadoop cluster can
Answer : D
Q 8 - You can reserve the amount of disk usage in a data node by configuring the dfs.datanode.du.reserved in which of the following file
Answer : A
Q 9 - How does Hadoop process large volumes of data?
A - Hadoop uses a lot of machines in parallel. This optimizes data processing.
C - Hadoop ships the code to the data instead of sending the data to the code.
D - Hadoop uses sophisticated caching techniques on name node to speed processing of data.
Answer : C
Q 10 - The org.apache.hadoop.io.Writable interface declares which two methods? (Choose 2 answers.)
public void readFields(DataInput).
public void read(DataInput).
public void writeFields(DataOutput).
public void write(DataOutput).
