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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there
be in the sort/shuffle phase?

A) mn (i.e., m to the power of n)
B) mXn (i.e., m multiplied by n)
C) m
D) n
E) m+n (i.e., m plus n)

2. You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you
have ample space on your DataNodes. Which action should you take to relieve this situation and store
more files in HDFS?

A) Increase the block size on all current files in HDFS.
B) Increase the block size on your remaining files.
C) Increase the amount of memory for the NameNode.
D) Decrease the block size on your remaining files.
E) Increase the number of disks (or size) for the NameNode.
F) Decrease the block size on all current files in HDFS.

3. All keys used for intermediate output from mappers must:

A) Implement WritableComparable.
B) Implement a splittable compression algorithm.
C) Override isSplitable.
D) Implement a comparator for speedy sorting.
E) Be a subclass of FileInputFormat.

4. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys,
IntWritable values. Which interface should your class implement?

A) Mapper <Text, IntWritable, Text, IntWritable>
B) Reducer <Text, IntWritable, Text, IntWritable>
C) Combiner <Text, IntWritable, Text, IntWritable>
D) Combiner <Text, Text, IntWritable, IntWritable>
E) Reducer <Text, Text, IntWritable, IntWritable>

5. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write
access to hundreds of terabytes of data?

A) Pig
B) Hive
C) Hue
D) Sqoop
E) HBase
F) Oozie
G) Flume

Solutions: