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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

2. Indentify the utility that allows you to create and run MapReduce jobs with any executable or script as the
mapper and/or the reducer?

A) Oozie
B) Sqoop
C) Flume
D) mapred
E) Hadoop Streaming

3. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

A) Accepts only data that is defined by metadata tables stored in a database
B) Accepts tab-delimited text data only
C) Accepts data whether it has metadata or not
D) Accepts only data that has a key/value pair structure
E) Accepts any data: structured or unstructured

4. Which one of the following classes would a Pig command use to store data in a table defined in
HCatalog?

A) No special class is needed for a Pig script to store data in an HCatalog table
B) org.apache.hcatalog.pig.HCatStorer
C) Pig scripts cannot use an HCatalog table
D) org.apache.hcatalog.pig.HCatOutputFormat

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

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

Solutions: