Question
a.
Because it has limited processing power
b.
Because it cannot distribute tasks to tasktrackers
c.
Because it is not distributed and can fail, causing cluster issues
d.
Because it does not have access to the jobtracker
Posted under Big Data Computing
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. Why does the Hadoop master represent a single point of failure?
Similar Questions
Discover Related MCQs
Q. What is the primary design goal of the Hadoop Distributed File System (HDFS)?
View solution
Q. What is the role of the namenode in HDFS?
View solution
Q. What is the default block size in HDFS?
View solution
Q. What is the purpose of the replication factor in HDFS?
View solution
Q. How does HDFS ensure fault tolerance for data blocks?
View solution
Q. What is the role of splits in the MapReduce process?
View solution
Q. What is the purpose of the circular memory buffer in a map task?
View solution
Q. When does a map task write its partial output data to disk?
View solution
Q. What is the purpose of the copy phase in reduce tasks?
View solution
Q. In Hadoop MapReduce, when is the output of the reduce() function written to the distributed file system?
View solution
Q. What does the replication factor in HDFS determine?
View solution
Q. What is the role of the jobtracker in Hadoop MapReduce?
View solution
Q. Which phase in a MapReduce job is responsible for sorting the map output data?
View solution
Q. In Hadoop MapReduce, how are map tasks distributed across the cluster?
View solution
Q. What is the purpose of splits in Hadoop MapReduce?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!
