最新のCCD-410問題集で試験を準備する

Cloudera CCD-410 試験概要:

Cloudera CCD-410 試験シラバストピック:

Cloudera Certified Developer for Apache Hadoop (CCDH) 認定 CCD-410 試験問題：

1. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, IntWritable values. Which interface should your class implement?

A) Combiner <Text, IntWritable, Text, IntWritable>
B) Reducer <Text, IntWritable, Text, IntWritable>
C) Combiner <Text, Text, IntWritable, IntWritable>
D) Reducer <Text, Text, IntWritable, IntWritable>
E) Mapper <Text, IntWritable, Text, IntWritable>

2. A combiner reduces:

A) The number of input files a mapper must process.
B) The number of output files a reducer must produce.
C) The number of values across different keys in the iterator supplied to a single reduce method call.
D) The amount of intermediate data that must be transferred between the mapper and reducer.

3. All keys used for intermediate output from mappers must:

A) Implement WritableComparable.
B) Be a subclass of FileInputFormat.
C) Implement a splittable compression algorithm.
D) Implement a comparator for speedy sorting.
E) Override isSplitable.

4. What data does a Reducer reduce method process?

A) All data for a given key, regardless of which mapper(s) produced it.
B) All data produced by a single mapper.
C) All data for a given value, regardless of which mapper(s) produced it.
D) All the data in a single input file.

5. Workflows expressed in Oozie can contain:

A) Sequences of MapReduce job only; on Pig on 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) Iterntive 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.

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