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

1. What does Pig provide to the overall Hadoop solution?

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

2. You need to perform statistical analysis in your MapReduce job and would like to call methods in the Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is the best way to make this library available to your MapReducer job at runtime?

A) Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and then set the HTTP_JAR_URL environment variable to its location.
B) Package your code and the Apache Commands Math library into a zip file named JobJar.zip
C) Have your system administrator copy the JAR to all nodes in the cluster and set its location in the HADOOP_CLASSPATH environment variable before you submit your job.
D) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.

3. You have user profile records in your OLPT database, that you want to join with web logs you have already ingested into the Hadoop file system. How will you obtain these user records?

A) Pig LOAD command
B) Hive LOAD DATA command
C) Ingest with Flume agents
D) Ingest with Hadoop Streaming
E) HDFS command
F) Sqoop import

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. Which one of the following statements describes a Hive user-defined aggregate function?

A) Operates on multiple input rows and creates a single row as output
B) Operates on a single input row and produces a table as output
C) Operates on multiple input rows and produces a table as output
D) Operates on a single input row and produces a single row as output

Solutions: