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最新的 HDP Certified Developer HADOOP-PR000007 免費考試真題:

1. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?

A) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
method of the mapper.
B) Place the data file in the DistributedCache and read the data into memory in the map method of the
mapper.
C) Place the data file in the DistributedCache and read the data into memory in the configure method of
the mapper.
D) Place the data file in the DataCache and read the data into memory in the configure method of the
mapper.

2. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and
# data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's
given a path object representing this directory?

A) One, no special characters can prefix the name of an input file
B) Three, the pound sign is an invalid character for HDFS file names
C) Two, file names with a leading period or underscore are ignored
D) None, the directory cannot be named jobdata
E) Four, all files will be processed

3. You want to run Hadoop jobs on your development workstation for testing before you submit them to your
production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production
cluster while using a single machine?

A) Run simldooop, the Apache open-source software for simulating Hadoop clusters.
B) Run the hadoop command with the -jt local and the -fs file:///options.
C) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
D) Run all the nodes in your production cluster as virtual machines on your development workstation.

4. 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 InputFormat used by the job determines the mapper's input key and value types.
C) The data types specified in HADOOP_MAP_DATATYPES environment variable
D) The mapper-specification.xml file submitted with the job determine the mapper's input key and value
types.

5. 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 that spill over to the local file system of the TaskTracker node running the
Mapper.
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 on the TaskTracker node running the Reducer that spill over and are written into
HDFS.
E) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer

問題與答案：