HADOOP-PR000007無料問題集「Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)」

質問 1

You need to perform statistical analysis in your MapReduce job and would like to call methods in the
Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is
the best way to make this library available to your MapReducer job at runtime?

（A）Have your system administrator copy the JAR to all nodes in the cluster and set its location in the
HADOOP_CLASSPATH environment variable before you submit your job.

（B）Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and
then set the HTTP_JAR_URL environment variable to its location.

（C）When submitting the job on the command line, specify the -libjars option followed by the JAR file path.

（D）Package your code and the Apache Commands Math library into a zip file named JobJar.zip

正解：C 解答を投票する

質問 2

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）init

（C）configure

（D）map

正解：C 解答を投票する

質問 3

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

（B）The data types specified in HADOOP_MAP_DATATYPES environment variable

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

（D）The key and value types specified in the JobConf.setMapInputKeyClass and
JobConf.setMapInputValuesClass methods

正解：C 解答を投票する

質問 4

You want to count the number of occurrences for each unique word in the supplied input data. You've
decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then
have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it
occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your
existing Reduces as your combiner in this case and why or why not?

（A）No, because the Combiner is incompatible with a mapper which doesn't use the same data type for
both the key and value.

（B）No, because the Reducer and Combiner are separate interfaces.

（C）No, because the sum operation in the reducer is incompatible with the operation of a Combiner.

（D）Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as
a combiner.

（E）Yes, because the sum operation is both associative and commutative and the input and output types to
the reduce method match.

正解：E 解答を投票する

質問 5

What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

（A）Scheduler

（B）Job Tracker

（C）Applications Manager

（D）Task Tracker

正解：A、C 解答を投票する

質問 6

Which one of the following is NOT a valid Oozie action?

（A）pig

（B）mapreduce

（C）mrunit

（D）hive

正解：C 解答を投票する

質問 7

You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you
have ample space on your DataNodes. Which action should you take to relieve this situation and store
more files in HDFS?

（A）Increase the amount of memory for the NameNode.

（B）Increase the number of disks (or size) for the NameNode.

（C）Decrease the block size on all current files in HDFS.

（D）Increase the block size on your remaining files.

（E）Decrease the block size on your remaining files.

（F）Increase the block size on all current files in HDFS.

正解：E 解答を投票する

質問 8

Which best describes how TextInputFormat processes input files and line breaks?

（A）The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
lines.

（B）Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of
both splits containing the broken line.

（C）Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
split that contains the beginning of the broken line.

（D）Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
split that contains the end of the broken line.

（E）Input file splits may cross line breaks. A line that crosses file splits is ignored.

正解：C 解答を投票する

質問 9

You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

（A）Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
HDFS.

（B）Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
HDFS.

（C）Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
disk.

（D）Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer

（E）Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.

正解：E 解答を投票する

質問 10

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

（A）The default Hash Partitioner sends key value pairs with the same key to the same Reducer

（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 reduce method is invoked once for each unique value

正解：C 解答を投票する

HADOOP-PR000007 無料問題集「Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)」

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