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NO.1 Which best describes how TextInputFormat processes input files and line breaks?
A. Input file splits may cross line breaks. A line that crosses file splits is ignored.
B. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
lines.
C. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of
the split that contains the beginning of the broken line.
D. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of
the split that contains the end of the broken line.
E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of
both splits containing the broken line.
Answer: C

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Reference: How Map and Reduce operations are actually carried out

NO.2 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 Reducer that spill over and are
written into HDFS.
C. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker
node running the Reducer
D. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are
written into HDFS.
E. Intermediate data in streamed across the network from Mapper to the Reduce and is never
written to disk.
Answer: A

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Explanation:
The mapper output (intermediate data) is stored on the Local file system (NOT HDFS) of each
individual mapper nodes. This is typically a temporary directory location which can be setup in config
by the hadoop administrator. The intermediate data is cleaned up after the Hadoop Job completes.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, Where is the
Mapper Output (intermediate kay-value data) stored ?