A. They would see Hadoop throw an concurrentFileAccessException when they try to access this file.

B. They would see the content of the file through the last completed block.

C. They would see no content until the whole file is written and closed.

D. They would see the current state of the file, up to the last bit written by the command.

A. Text analysis algorithms on large collections of unstructured text (e.g., Web crawls).

B. Large-scale graph algorithms that require one-step link traversal.

C. Relational operations on large amounts of structured and semi structured data.

D. Algorithms that require applying the same mathematical function to large numbers of individual binary records.

E. Algorithms that requite global, shared state.

A. m

B. mr (i.e., m to the power of r)

C. m+r (i.e., m plus r)

D. r

E. mxr (i.e., m multiplied by r)

A. Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.

B. Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.

C. Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.

D. Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.

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 directly off the DataNode(s).

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

C. 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.

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. Sqoop

B. Pig

C. Hadoop Streaming

D. Oozie

E. Hue

F. Hive

G. Flume