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

1. All keys used for intermediate output from mappers must:

A) Override isSplitable.
B) Be a subclass of FileInputFormat.
C) Implement WritableComparable.
D) Implement a splittable compression algorithm.
E) Implement a comparator for speedy sorting.

2. You want to Ingest log files Into HDFS, which tool would you use?

A) Flume
B) Sqoop
C) HCatalog
D) Ambari

3. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?

A) Flume
B) fuse-dfs
C) Hue
D) Oozie
E) Sqoop
F) Hive
G) Pig

4. Review the following data and Pig code:

What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on B?

A) B= GROUP A BY (zip = = '95102' AND gender = = 'M');
B) B = FILTER A BY (zip = = '95102' AND gender = = M");
C) B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
D) B = JOIN A BY (gender = = 'M' AND zip = = '95102');

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

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

Solutions: