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

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

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

2. 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 only data that has a key/value pair structure
C) Accepts any data: structured or unstructured
D) Accepts data whether it has metadata or not
E) Accepts tab-delimited text data only

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

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

5. 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) 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.
C) Package your code and the Apache Commands Math library into a zip file named JobJar.zip
D) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.

Solutions: