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

You want to understand more about how users browse your public website, such as which pages

they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How
will you gather this data for your analysis?

MapReduce v2 (MRv2/YARN) is designed to address which two issues?

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?

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.

Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application
containers and monitoring application resource usage?

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

For each input key-value pair, mappers can emit:

You have the following key-value pairs as output from your Map task:
(the, 1)
(fox, 1)
(faster, 1)
(than, 1)
(the, 1)
(dog, 1)
How many keys will be passed to the Reducer’s reduce method?

You have user profile records in your OLPT database, that you want to join with web logs you
have already ingested into the Hadoop file system. How will you obtain these user records?