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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. What does Pig provide to the overall Hadoop solution?

A) Simple scripting language for writing MapReduce programs
B) Database table and storage management services
C) C++ interface to MapReduce and data warehouse infrastructure
D) Legacy language Integration with MapReduce framework

2. What is the term for the process of moving map outputs to the reducers?

A) Reducing
B) Combining
C) Partitioning
D) Shuffling and sorting

3. Which Two of the following statements are true about hdfs? Choose 2 answers

A) HDFS works best when storing a large number of relatively small files
B) An HDFS file that is larger than dfs.block.size is split into blocks
C) Block sizes for all files must be the same size
D) Blocks are replicated to multiple datanodes

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

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

5. Examine the following Pig commands:

Which one of the following statements is true?

A) The SAMPLE command generates an "unexpected symbol" error
B) A random sample of approximately 20% of the data will be output
C) Each MapReduce task will terminate after executing for 0.2 minutes
D) The reducers will only output the first 20% of the data passed from the mappers

Solutions: