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

1. Table metadata in Hive is:

A) Stored in ZooKeeper.
B) Stored along with the data in HDFS.
C) Stored as metadata on the NameNode.
D) Stored in the Metastore.


2. Consider the following two relations, A and B.

A Pig JOIN statement that combined relations A by its first field and B by its second field would produce
what output?

A) 2 cherry Jim 2 2 cherry Chris 2 3 orange Terry 3 4 peach Brian 4
B) 2 cherry 2 cherry 3 orange 4 peach
C) 2 Jim Chris 2 3 Terry 3 4 Brian 4
D) 2 cherry Jim, Chris 3 orange Terry 4 peach Brian


3. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.

A) There is no difference in output between the two settings.
B) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS.
C) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS.
D) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS.


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

A) 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).
B) One final key-value pair per value associated with the key; no restrictions on the type.
C) One final key-value pair per key; no restrictions on the type.
D) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
E) 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.


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

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


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: C
Question # 4
Answer: E
Question # 5
Answer: A,B

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