Apache Pig Quiz

What is Apache Pig used for?

• Analyzing large data sets

• Cooking recipes

• Building houses

• Flying aircraft

What are the two execution modes in Apache Pig?

• Single mode and Cluster mode

• Sequential mode and Parallel mode

• Local mode and MapReduce mode

• Interactive mode and Batch mode

What are the different data types supported by Apache Pig?

• int, long, float, double, chararray, bytearray, and boolean

• float, character, binary, date

• integer, decimal, text, boolean

• string, array, object, date

What is a User Defined Function (UDF) in Apache Pig?

• A type of data storage in Apache Pig

• A feature for creating user interfaces in Apache Pig

• A built-in function for mathematical operations in Apache Pig

• A User Defined Function that allows users to define their own functions to process data in Pig scripts.

How can you optimize Apache Pig scripts for better performance?

• Using inefficient data structures

• Adding unnecessary comments to the script

• Running the script on a single node

• Use techniques such as data partitioning, using combiner and parallel execution, and optimizing the join operations.

What is the purpose of data processing in Apache Pig?

• To organize medium-sized datasets

• To analyze and transform large datasets

• To create small datasets

• To delete large datasets

Explain the difference between local mode and MapReduce mode in Apache Pig.

• Local mode runs Pig scripts on multiple machines, while MapReduce mode runs Pig scripts on a single machine.

• Local mode runs Pig scripts on a single machine, while MapReduce mode runs Pig scripts on a Hadoop cluster using MapReduce framework.

• Local mode and MapReduce mode both run Pig scripts on a Hadoop cluster.

• Local mode and MapReduce mode are interchangeable and can be used for the same purposes.

How can you create a custom UDF in Apache Pig?

• By directly modifying the source code of Apache Pig

• By creating a Python script and importing it into Apache Pig

• By using a built-in function in Apache Pig

• By writing a Java class that extends the EvalFunc class and implementing the exec function.

What are some best practices for optimizing Apache Pig scripts?

• Using random sampling

• Using unnecessary UDFs

• Using partitioning, using combiners, using the FOREACH...GENERATE construct, and using UDFs sparingly

• Avoiding partitioning