Hortonworks Apache-Hadoop-Developer Valid Dump : Hadoop 2.0 Certification exam for Pig and Hive Developer

Apache-Hadoop-Developer real exams

Exam Code: Apache-Hadoop-Developer

Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Apr 29, 2025

Q & A: 110 Questions and Answers

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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Table metadata in Hive is:

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


2. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
B) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
C) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
D) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.


3. A combiner reduces:

A) The number of input files a mapper must process.
B) The number of output files a reducer must produce.
C) The amount of intermediate data that must be transferred between the mapper and reducer.
D) The number of values across different keys in the iterator supplied to a single reduce method call.


4. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

A) No, MapReduce cannot perform relational operations.
B) No, but it can be done with either Pig or Hive.
C) Yes, so long as both tables fit into memory.
D) Yes.
E) Yes, but only if one of the tables fits into memory


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

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


Solutions:

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

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