What determines the number of Reduces that run a given MapReduce job on a cluster running MapReduce v1 (MRv1)?
What determines the number of Reduces that run a given MapReduce job on a cluster running
MapReduce v1 (MRv1)?
which scenario would it be most appropriate to consider using faster (e.g 10 Gigabit) Ethernet as the network
Under which scenario would it be most appropriate to consider using faster (e.g 10 Gigabit)
Ethernet as the network fabric for your Hadoop cluster?
In the context of configuring a Hadoop cluster for HDFS High Availability (HA), ‘fencing’ refers to:
In the context of configuring a Hadoop cluster for HDFS High Availability (HA), ‘fencing’ refers to:
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts
You wrote a map function that throws a runtime exception when it encounters a control character
in input data. The input supplied to your mapper contains twelve such characters totals, spread
across five file splits. The first four file splits each have two control characters and the last split has
four control characters.
Indentify the number of failed task attempts you can expect when you run the job with
mapred.max.map.attempts set to 4:
Assuming default settings, which best describes the order of data provided to a reducer’s reduce method:
Assuming default settings, which best describes the order of data provided to a reducer’s reduce
method:
How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapRe
How are keys and values presented and passed to the reducers during a standard sort and shuffle
phase of MapReduce?
Indentify the utility that allows you to create and run MapReduce jobs with any executable or script as the ma
Indentify the utility that allows you to create and run MapReduce jobs with any executable or script
as the mapper and/or the reducer?
Which describes how a client reads a file from HDFS?
Which describes how a client reads a file from HDFS?
which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
You need to run the same job many times with minor variations. Rather than hardcoding all job
configuration options in your drive code, you’ve decided to have your Driver subclass
org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
Where is intermediate data written to after being emitted from the Mapper’s map method?
You have just executed a MapReduce job. Where is intermediate data written to after being
emitted from the Mapper’s map method?