Hortonworks Apache-Hadoop-Developer real exam prep : Hadoop 2.0 Certification exam for Pig and Hive Developer

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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. 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 copy the JAR to all nodes in the cluster and set its location in the HADOOP_CLASSPATH environment variable before you submit your job.
B) 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.
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.

2. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) Exactly 500.
B) It depends on the number of reduces in the job.
C) At least 500.
D) At most 500.
E) Between 500 and 1000.

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 "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 setproperty mapred.job.name=Example MyDriver input output
E) hadoop MyDrive -D mapred.job.name=Example input output

4. Given the following Hive commands:

Which one of the following statements Is true?

A) The file mydata.txt does not move from Its current location in HDFS
B) The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
C) The file mydata.txt is copied into Hive's underlying relational database 0.
D) The file mydata.txt is copied to a subfolder of /apps/hive/warehouse

5. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

A) Yes.
B) No, MapReduce cannot perform relational operations.
C) Yes, so long as both tables fit into memory.
D) Yes, but only if one of the tables fits into memory
E) No, but it can be done with either Pig or Hive.

Solutions: