replication factor is changed
datanode goes down
data blocks get corrupted
all of the above
Answer is Wrong!
Answer is Right!
The correct answer is D. all of the above.
Data replication is the process of copying data from one location to another. This is done to ensure that the data is not lost if one of the locations fails. There are several reasons why data replication may be necessary, including:
- Replication factor is changed: The replication factor is the number of copies of a data block that are stored on different nodes. If the replication factor is increased, then more copies of the data will be stored, which will increase the availability of the data.
- Datanode goes down: A datanode is a node in a Hadoop cluster that stores data blocks. If a datanode goes down, then the data blocks that are stored on that node will not class="youtube-subscribe-button"> Subscribe on YouTube