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

1. Which Two of the following statements are true about hdfs? Choose 2 answers

A) Blocks are replicated to multiple datanodes
B) HDFS works best when storing a large number of relatively small files
C) Block sizes for all files must be the same size
D) An HDFS file that is larger than dfs.block.size is split into blocks

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

3. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
B) When the signature of the reduce method matches the signature of the combine method.
C) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
D) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.

4. For each intermediate key, each reducer task can emit:

A) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
have the same type.
B) One final key-value pair per key; no restrictions on the type.
C) One final key-value pair per value associated with the key; no restrictions on the type.
D) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).
E) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.

5. Which HDFS command displays the contents of the file x in the user's HDFS home directory?

A) hadoop fs -cp x
B) hadoop fs -Is x
C) hadoop fs -cat x
D) hdfs fs -get x

Solutions: