A. ApplicationMasterService

B. TaskTracker

C. ApplicationMaster

D. ResourceManager

E. JobTracker

F. NodeManager

A. The file can be accessed if at least one of the data nodes storing the file is available.

B. Each data node stores a copy of the file in the local file system with the same name as the HDFS file.

C. Each data node locks the local file to prohibit concurrent readers and writers of the file.

D. The file will be marked as corrupted if data node B fails during the creation of the file.

A. C = JOIN A SO, B $1;

B. C = JOIN A a1, B b2;

C. C = JOIN A by al, B by b2;

D. C = DOIN B BY a1, A by b2;

A. Processes all client requests and block reports from the appropriate DataNodes.

B. Communicates directly with the active NameNode to maintain the state of the active NameNode.

C. Receives the same block reports as the active NameNode.

D. Runs on the same machine and shares the memory of the active NameNode.

A. The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directory off the DataNode(s).

B. The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.

C. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.

D. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.

A. hadoop MyDriver mapred.job.name=Example input output

B. hadoop MyDrive -D mapred.job.name=Example input output

C. hadoop "mapred.job.name=Example" MyDriver input output

D. hadoop setproperty ("mapred.job.name=Example") MyDriver input output

E. hadoop setproperty mapred.job.name=Example MyDriver input output

A. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.

B. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.

C. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.

D. There is no difference in output between the two settings.

A. NameNode

B. TaskTracker

C. DataNode

D. JobTracker

E. Secondary NameNode

A. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output.

B. It accepts a list key-value pairs as input and can emit only one key-value pair as output.

C. It accepts a single key-value pairs as input and can emit only one key-value pair as output.

D. It accepts a single key-value pairs as input and can emit any number of key-value pair as output, including zero.

A. The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house

B. The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse

C. The files in the mydata folder do not move from their current location In HDFS

D. The files in the mydata folder are copied into Hive's underlying relational database