Explanation: Map files are just a variation of sequence files. They store data in sorted order
Question :What is the most important feature of map-reduce
1. Ability to store large amount of data 2. Ability to process data on the cluster of the machines without copying all the data over 3. Access Mostly Uused Products by 50000+ Subscribers 4. Ability to process large amounts of data in parallel
Explanation: The fundamental difference of the Hadoop framework is that multiple machines will be used to process the same data and data is readily available for processing in distributed file system
Question :What is the role of the namenode (MRv)? 1. Namenode splits big files into smaller blocks and sends them to different datanodes 2. Namenode is responsible for assigning names to each slave node so that they can be identified by the clients 3. Access Mostly Uused Products by 50000+ Subscribers 4. Both 2 and 3 are valid answers
Explanation: The namenode is the "brain" of the Hadoop cluster and responsible for managing the distribution blocks on the system based on the replication policy. The namenode also supplies the specific addresses for the data based on the client requests