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

（A）The ApplicationMaster requests resources from the ResourceManager

（B）The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster

（C）The ApplicationMaster starts an instance of the ResourceManager within each Container

（D）The ApplicationMaster starts a single instance of the ResourceManager

（A）The logevents relation represents the data from the my.log file, using a comma as the parsing delimiter

（B）The logevents relation represents the data from the my.log file, using a tab as the parsing delimiter

（C）The first field of logevents must be a properly-formatted date string or table return an error

（D）The statement is not a valid Pig command

（A）Place the data file in the DistributedCache and read the data into memory in the map method of the
mapper.

（B）Place the data file in the DistributedCache and read the data into memory in the configure method of
the mapper.

（C）Place the data file in the DataCache and read the data into memory in the configure method of the
mapper.

（D）Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
method of the mapper.

（A）Launching tasks

（B）Job scheduling/monitoring

（C）Managing tasks

（D）Managing file system metadata

（E）Job coordination between the ResourceManager and NodeManager

（F）Resource management

（G）Heath states checks (heartbeats)

（H）MapReduce metric reporting

（A）Override isSplitable.

（B）Be a subclass of FileInputFormat.

（C）Implement a splittable compression algorithm.

（D）Implement WritableComparable.

（E）Implement a comparator for speedy sorting.

（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>

（A）Run all the nodes in your production cluster as virtual machines on your development workstation.

（B）Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.

（C）Run the hadoop command with the -jt local and the -fs file:///options.

（D）Run simldooop, the Apache open-source software for simulating Hadoop clusters.

（A）It accepts a single key-value pair as input and emits a single key and list of corresponding values as
output.

（B）It accepts a single key-value pairs as input and can emit only one key-value pair as output.

（C）It accepts a single key-value pairs as input and can emit any number of key-value pair as output,
including zero.

（D）It accepts a list key-value pairs as input and can emit only one key-value pair as output.

（A）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.

（B）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.

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

（D）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.

（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.

（A）Combining

（B）Shuffling and sorting

（C）Reducing

（D）Partitioning