Apache-Hadoop-Developer試験無料問題集（110題）「Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer 認定」

出題：1

You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

A. The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods

B. The data types specified in HADOOP_MAP_DATATYPES environment variable

C. The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.

D. The InputFormat used by the job determines the mapper's input key and value types.

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)

出題：2

You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.

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, 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.

C. 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.

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

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：3

Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

A. The default partitioner computes the hash of the key and divides that valule modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.

B. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer in turn. This ensures an event partition of the key space.

C. The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.

D. The default partitioner assigns key-values pairs to reduces based on an internal random number generator.

E. The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key-value pair.

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：4

Which one of the following statements is true regarding a MapReduce job?

A. The reduce method is invoked once for each unique value

B. The Mapper must sort its output of (key.value) pairs in descending order based on value

C. The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers

D. The default Hash Partitioner sends key value pairs with the same key to the same Reducer

正解：C 解答を投票する

出題：5

Consider the following two relations, A and B.

What is the output of the following Pig commands?
X = GROUP A BY S1; DUMP X;

A. Option D

B. Option C

C. Option A

D. Option B

正解：A 解答を投票する

出題：6

What is a SequenceFile?

A. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.

B. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.

C. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.

D. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.

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)

Apache-Hadoop-Developer試験無料問題集「Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer 認定」