Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) - HADOOP-PR000007 certification

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. Which one of the following statements is true regarding a MapReduce job?

A) The reduce method is invoked once for each unique value
B) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
C) The Mapper must sort its output of (key.value) pairs in descending order based on value
D) The default Hash Partitioner sends key value pairs with the same key to the same Reducer

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

3. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A) The contents of myothertable are appended to mytable
B) The statement is not a valid Hive command
C) Any existing data in mytable will be overwritten
D) A new table named mytable is created, and the contents of myothertable are copied into mytable

4. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Large-scale graph algorithms that require one-step link traversal.
B) Algorithms that require global, sharing states.
C) Algorithms that require applying the same mathematical function to large numbers of individual binary
records.
D) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
E) Relational operations on large amounts of structured and semi-structured data.

5. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?

A) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
B) The values are in sorted order.
C) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
D) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.

Solutions: