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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers
A) Accepts tab-delimited text data only
B) Accepts data whether it has metadata or not
C) Accepts only data that has a key/value pair structure
D) Accepts any data: structured or unstructured
E) Accepts only data that is defined by metadata tables stored in a database
2. 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 multiple input rows and produces a table as output
C) Operates on a single input row and produces a single row as output
D) Operates on a single input row and produces a table as output
3. You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
A) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
B) hadoop MyDriver mapred.job.name=Example input output
C) hadoop setproperty mapred.job.name=Example MyDriver input output
D) hadoop "mapred.job.name=Example" MyDriver input output
E) hadoop MyDrive -D mapred.job.name=Example input output
4. Examine the following Pig commands:
Which one of the following statements is true?
A) Each MapReduce task will terminate after executing for 0.2 minutes
B) The SAMPLE command generates an "unexpected symbol" error
C) A random sample of approximately 20% of the data will be output
D) The reducers will only output the first 20% of the data passed from the mappers
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) Package your code and the Apache Commands Math library into a zip file named JobJar.zip
B) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
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) 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.
Solutions:
Question # 1 Answer: B,D | Question # 2 Answer: A | Question # 3 Answer: E | Question # 4 Answer: C | Question # 5 Answer: B |