The ________ class provides the getValue() method to read the values from its instance.
Result
Excellent ! Your Answer is Correct.
Get
Put
Value
Tag: Hadoop MapReduce
__________ class adds HBase configuration files to its object.
__________ class adds HBase configuration files to its object.
Configuration
Excellent ! Your Answer is Correct. You can create a configuration object using the create() method of the HbaseConfiguration class.
Collector
Component
None of the Option is Correct
The standard output (stdout) and error (stderr) streams of the task are read by the TaskTracker and logged to :
The standard output (stdout) and error (stderr) streams of the task are read by the TaskTracker and logged to :
${HADOOP_LOG_DIR}/userlogs
Excellent ! Your Answer is Correct. The child-jvm always has its current working directory added to the java.library.path and LD_LIBRARY_PATH.
${HADOOP_LOG_DIR}/user
${HADOOP_LOG_DIR}/logs
None of the Option is Correct
During the execution of a streaming job, the names of the _______ parameters are transformed.
During the execution of a streaming job, the names of the _______ parameters are transformed.
mapred
Excellent ! Your Answer is Correct. To get the values in a streaming job’s mapper/reducer use the parameter names with the underscores.
mapvim
vmap
mapreduce
The ___________ executes the Mapper/ Reducer task as a child process in a separate jvm.
The ___________ executes the Mapper/ Reducer task as a child process in a separate jvm.
JobTracker
Excellent ! Your Answer is Correct. The child-task inherits the environment of the parent TaskTracker.
TaskTracker
TaskScheduler
None of the Option is Correct
__________ is the primary interface for a user to describe a MapReduce job to the Hadoop framework for execution.
__________ is the primary interface for a user to describe a MapReduce job to the Hadoop framework for execution.
JobConf
Excellent ! Your Answer is Correct. JobConf is typically used to specify the Mapper, combiner (if any), Partitioner, Reducer, InputFormat, OutputFormat and OutputCommitter implementations.
JobConfig
JobConfiguration
All Options are Correct
Point out the wrong statement :
Point out the wrong statement :
All Options are Correct
Excellent ! Your Answer is Correct. Outputs of the map-tasks go directly to the FileSystem, into the output path set by setOutputPath(Path).
It is legal to set the number of reduce-tasks to zero if no reduction is desired
The outputs of the map-tasks go directly to the FileSystem
he Mapreduce framework does not sort the map-outputs before writing them out to the FileSystem
The right level of parallelism for maps seems to be around _________ maps per-node
.The right level of parallelism for maps seems to be around _________ maps per-node
10-100
Excellent ! Your Answer is Correct. Task setup takes a while, so it is best if the maps take at least a minute to execute
44470
100-150
150-200
Point out the wrong statement :
Point out the wrong statement :
All Options are Correct
Excellent ! Your Answer is Correct. All intermediate values associated with a given output key are subsequently grouped by the framework, and passed to the Reducer(s) to determine the final output.
The Mapper outputs are sorted and then partitioned per Reducer
The total number of partitions is the same as the number of reduce tasks for the job
The intermediate, sorted outputs are always stored in a simple (key-len, key, value-len, value) format
Point out the wrong Statement.
Point out the wrong Statement.
A MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner.
Excellent ! Your Answer is Correct.
The MapReduce framework operates exclusively on pairs.
Applications typically implement the Mapper and Reducer interfaces to provided the map and reduce methods
None of the Option is Correct