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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. Which HDFS command displays the contents of the file x in the user's HDFS home directory?

A) hadoop fs -cat x
B) hadoop fs -Is x
C) hdfs fs -get x
D) hadoop fs -cp x

2. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
B) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
C) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
D) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.

3. Which one of the following statements is true about a Hive-managed table?

A) When the table is dropped, the underlying folder in HDFS is deleted.
B) Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
C) Records can only be added to the table using the Hive INSERT command.
D) Hive dynamically defines the schema of the table based on the format of the underlying data.

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

5. Which process describes the lifecycle of a Mapper?

A) The TaskTracker spawns a new Mapper to process all records in a single input split.
B) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
C) The TaskTracker spawns a new Mapper to process each key-value pair.
D) The JobTracker spawns a new Mapper to process all records in a single file.

Solutions: