CCD-410試験無料問題集（60題）「Cloudera Certified Developer for Apache Hadoop (CCDH) 認定」

出題：1

You want to populate an associative array in order to perform a map-side join. You've decided to put this information in a text file, place that file into the DistributedCache and read it in your Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

A. combine

B. map

C. configure

D. init

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

All keys used for intermediate output from mappers must:

A. Implement a comparator for speedy sorting.

B. Be a subclass of FileInputFormat.

C. Implement WritableComparable.

D. Override isSplitable.

E. Implement a splittable compression algorithm.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

In a MapReduce job, the reducer receives all values associated with same key. Which statement best describes the ordering of these values?

A. Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.

B. The values are in sorted order.

C. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.

D. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?

A. InputFormat

B. Partitioner

C. OutputFormat

D. Writable

E. Combiner

F. WritableComparable

正解：E 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

Determine which best describes when the reduce method is first called in a MapReduce job?

A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.

B. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.

C. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.

D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

Workflows expressed in Oozie can contain:

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

B. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.

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

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

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

CCD-410試験無料問題集「Cloudera Certified Developer for Apache Hadoop (CCDH) 認定」