Cloudera Certified Developer for Apache Hadoop - CCD-333무료 덤프문제 풀어보기

A. Hive

B. Sqoop

C. Pig

D. Flume

E. Oozie

F. Hue

G. Hadoop Streaming

A. It accepts a list of key-value pairs as input hut run emit only one key value pair as output.

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

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

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

A. Sequences of MapReduce jobs only; no Pig or Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.

B. Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.

C. Iterative repetition of MapReduce jobs until a desired answer or state is reached.

D. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.

A. The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.

B. The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.

C. The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.

D. The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.

E. The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.

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

B. 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.

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

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

A. Implement WritableComparable

B. Override isSplitable

C. Be compressed using a splittable compression algorithm.

D. Use a comparator for speedy sorting

E. Be a subclass of Filelnput-Format