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

質問 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）Reducer <Text, IntWritable, Text, IntWritable>

（B）Combiner <Text, Text, IntWritable, IntWritable>

（C）Mapper <Text, IntWritable, Text, IntWritable>

（D）Combiner <Text, IntWritable, Text, IntWritable>

（E）Reducer <Text, Text, IntWritable, IntWritable>

正解：A 解答を投票する

質問 2

Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?

（A）Flume

（B）Oozie

（C）Pig

（D）Hive

（E）fuse-dfs

（F）Hue

（G）Sqoop

正解：G 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?

（A）The amount of RAM installed on the TaskTracker node.

（B）The amount of free disk space on the TaskTracker node.

（C）The average system load on the TaskTracker node over the past fifteen (15) minutes.

（D）The location of the InsputSplit to be processed in relation to the location of the node.

（E）The number and speed of CPU cores on the TaskTracker node.

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

MapReduce v2 (MRv2/YARN) is designed to address which two issues?

（A）Reduce complexity of the MapReduce APIs.

（B）Standardize on a single MapReduce API.

（C）HDFS latency.

（D）Ability to run frameworks other than MapReduce, such as MPI.

（E）Single point of failure in the NameNode.

（F）Resource pressure on the JobTracker.

正解：E、F 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 5

Which HDFS command displays the contents of the file x in the user's HDFS home directory?

（A）hadoop fs -cat x

（B）hdfs fs -get x

（C）hadoop fs -cp x

（D）hadoop fs -Is x

正解：A 解答を投票する

質問 6

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

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

（B）The values are in sorted order.

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

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

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

Indentify which best defines a SequenceFile?

（A）A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable objects

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

（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 key-value pairs. Each key must be the same type. Each value must be the same type.

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 8

Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

（A）A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.

（B）A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.

（C）A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.

（D）An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.

正解：B 解答を投票する

質問 9

Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int, zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?

（A）STORE B INTO 'myoutput';

（B）STORE A INTO 'myoutput' USING PigStorage(',');

（C）DUMP B INTO 'myoutput';

（D）DUMP B using PigStorage('myoutput');

正解：A 解答を投票する

質問 10

Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

（A）No, but it can be done with either Pig or Hive.

（B）Yes, so long as both tables fit into memory.

（C）Yes, but only if one of the tables fits into memory

（D）No, MapReduce cannot perform relational operations.

（E）Yes.

正解：E 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

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

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