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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) At least 500.
B) Exactly 500.
C) Between 500 and 1000.
D) It depends on the number of reduces in the job.
E) At most 500.

2. Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?

A) 640
B) 100
C) 64
D) 200

3. 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 frequency distribution of the top 80 words that follow the subsequence "you 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) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.

4. 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) 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.
B) 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.
C) There is no difference in output between the two settings.
D) 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.

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

Which Pig statement combines A by its first field and B by its second field?

A) C = DOIN B BY a1, A by b2;
B) C = JOIN A by al, B by b2;
C) C = JOIN A a1, B b2;
D) C = JOIN A SO, B $1;

Solutions: