Hadoop Pig MCQ Questions and Answers

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1. What is Apache Pig primarily used for in Hadoop?

a) Real-time processing
b) Data storage
c) Data analysis
d) Network configuration

Answer:

c) Data analysis

Explanation:

Apache Pig is a platform used for analyzing large data sets. It provides an abstract way to program MapReduce tasks with its own scripting language, Pig Latin.

2. Which language is Pig scripts written in?

a) Java
b) Python
c) Pig Latin
d) SQL

Answer:

c) Pig Latin

Explanation:

Pig scripts are written in Pig Latin, a high-level data flow language that offers a rich set of data types and operators for performing various data operations.

3. What is the primary advantage of using Pig over traditional MapReduce?

a) Lower learning curve
b) Real-time processing capabilities
c) More efficient data storage
d) Better network security

Answer:

a) Lower learning curve

Explanation:

The primary advantage of using Pig over traditional MapReduce is its lower learning curve, due to its abstraction from Java MapReduce programming model and simpler scripting language.

4. In Pig, which of the following is a complex data type?

a) int
b) float
c) map
d) chararray

Answer:

c) map

Explanation:

In Pig, 'map' is a complex data type. Others like int, float, and chararray are simple or primitive data types.

5. Which operation does the 'GROUP' command perform in Pig?

a) Filters rows in a dataset
b) Sorts data in ascending order
c) Groups the data by a specified column
d) Merges two datasets

Answer:

c) Groups the data by a specified column

Explanation:

The 'GROUP' command in Pig is used to group data in one or more relations by one or more fields.

6. What does the 'LOAD' function do in Pig?

a) Loads data from HDFS into a table
b) Exports data from a Pig relation to HDFS
c) Performs data transformation
d) Loads a UDF (User Defined Function)

Answer:

a) Loads data from HDFS into a table

Explanation:

The 'LOAD' function in Pig is used to load data from the file system (like HDFS) into a relation or table for processing.

7. What is a Bag in Pig Latin?

a) A collection of tuples
b) A type of data storage
c) A scripting function
d) A data processing engine

Answer:

a) A collection of tuples

Explanation:

In Pig Latin, a Bag is a complex data type that represents a collection of tuples which can have duplicate elements.

8. How does Pig interact with Hadoop's MapReduce?

a) It replaces MapReduce
b) It compiles scripts into a series of MapReduce jobs
c) It runs independent of MapReduce
d) It only analyzes MapReduce log files

Answer:

b) It compiles scripts into a series of MapReduce jobs

Explanation:

Pig translates Pig Latin scripts into a series of MapReduce jobs, which are then run on a Hadoop cluster.

9. Which of the following best describes a Tuple in Pig?

a) A key-value pair
b) A single row of fields
c) A fixed-size array
d) A type of Pig script

Answer:

b) A single row of fields

Explanation:

In Pig, a Tuple is an ordered set of fields, which can be of different data types. It represents a single row in a relation.

10. What is the function of the 'FOREACH … GENERATE' statement in Pig?

a) It loops through each row in a dataset
b) It generates random data samples
c) It creates new relations
d) It filters data based on a condition

Answer:

a) It loops through each row in a dataset

Explanation:

The 'FOREACH … GENERATE' statement in Pig is used to iterate over each tuple in a bag and transform it into a new tuple.

11. What role does the 'FILTER' command play in Pig?

a) It merges two datasets
b) It divides a dataset into multiple groups
c) It selects tuples based on a condition
d) It sorts the dataset

Answer:

c) It selects tuples based on a condition

Explanation:

The 'FILTER' command in Pig is used to select tuples in a dataset that meet a specified condition.

12. What is UDF in the context of Pig?

a) Unique Data Format
b) User Defined Function
c) Unified Data Framework
d) Universal Data File

Answer:

b) User Defined Function

Explanation:

In Pig, UDF stands for User Defined Function. UDFs allow users to write custom functions to extend Pig's functionality.

13. Which command is used to view the schema of a relation in Pig?

a) DESCRIBE
b) DISPLAY
c) SHOW
d) VIEW

Answer:

a) DESCRIBE

Explanation:

The 'DESCRIBE' command in Pig is used to view the schema of a relation, showing the names and data types of its fields.

14. How are Pig Latin scripts typically executed?

a) In a web browser
b) On a Pig server
c) In the Hadoop cluster
d) Through a Java application

Answer:

c) In the Hadoop cluster

Explanation:

Pig Latin scripts are typically executed in a Hadoop cluster. They are translated into MapReduce jobs that run on the cluster.

15. Which data model does Pig primarily use?

a) Graph-based
b) Relational
c) Document-oriented
d) Key-value

Answer:

b) Relational

Explanation:

Pig uses a relational data model, working with data sets that are similar to tables in a relational database.

16. What is the main difference between the 'STORE' and 'DUMP' commands in Pig?

a) STORE writes data to HDFS, while DUMP displays it on the screen
b) STORE creates a new relation, while DUMP deletes an existing one
c) STORE sorts data, while DUMP groups data
d) STORE filters data, while DUMP merges data

Answer:

a) STORE writes data to HDFS, while DUMP displays it on the screen

Explanation:

The 'STORE' command in Pig is used to write data from a relation to the file system (like HDFS), whereas 'DUMP' displays the contents of a relation to the screen for viewing.

17. What is Pig's execution environment called?

a) Pig Server
b) Grunt shell
c) Hive terminal
d) Hadoop console

Answer:

b) Grunt shell

Explanation:

The Grunt shell is the interactive command line interface for running Pig scripts and commands.

18. What is the significance of a 'JOIN' operation in Pig?

a) It divides a dataset into smaller parts
b) It combines two datasets based on a common field
c) It performs mathematical operations on a dataset
d) It filters out specific rows from a dataset

Answer:

b) It combines two datasets based on a common field

Explanation:

The 'JOIN' operation in Pig is used to combine two or more datasets based on a common field, similar to the JOIN operation in SQL.

19. What does 'COGROUP' do in Pig Latin?

a) It groups multiple relations by a common field
b) It sorts data within a single relation
c) It combines data from different Hadoop clusters
d) It creates a complex data structure

Answer:

a) It groups multiple relations by a common field

Explanation:

The 'COGROUP' operation in Pig is used to group two or more relations by a common field, creating a new relation where each group is a tuple containing the common field and bags of tuples from each relation.

20. How can Pig scripts be optimized for performance?

a) By increasing the memory allocation to Pig
b) By minimizing the use of UDFs
c) By using efficient data types and operations
d) By reducing the size of the input data

Answer:

c) By using efficient data types and operations

Explanation:

Performance of Pig scripts can be optimized by choosing efficient data types, minimizing data skew, and using operations that reduce the amount of data processed and transferred across the network.

21. What does the 'SPLIT' command do in Pig?

a) It divides a dataset into multiple relations based on conditions
b) It merges multiple datasets into one
c) It sorts the data in ascending order
d) It filters out unwanted data from the dataset

Answer:

a) It divides a dataset into multiple relations based on conditions

Explanation:

The 'SPLIT' command in Pig is used to split a single dataset into two or more relations based on specified conditions.

22. What is the primary use of the 'UNION' operation in Pig?

a) To perform mathematical calculations
b) To combine two or more datasets into a single dataset
c) To filter data based on conditions
d) To transform the data type of a field

Answer:

b) To combine two or more datasets into a single dataset

Explanation:

The 'UNION' operation in Pig is used to combine two or more datasets into one dataset, concatenating their records.

23. Which of the following is a correct use of the 'LIMIT' operator in Pig?

a) To limit the number of reducers
b) To restrict the number of tuples in the output
c) To define the maximum value of a field
d) To specify the minimum amount of memory usage

Answer:

b) To restrict the number of tuples in the output

Explanation:

The 'LIMIT' operator in Pig is used to restrict the output to a specified number of tuples, effectively limiting the size of the result.

24. In Pig, what is the role of the 'DISTINCT' operator?

a) To sort data in a unique way
b) To merge similar data sets
c) To remove duplicate tuples from a data set
d) To create a distinct new data type

Answer:

c) To remove duplicate tuples from a data set

Explanation:

The 'DISTINCT' operator in Pig is used to remove duplicate records from a data set, ensuring that each tuple in the output is unique.

25. How does Pig handle null values in its operations?

a) It treats nulls as zeros
b) It automatically removes null values
c) It treats nulls as empty strings
d) It supports operations on null values

Answer:

d) It supports operations on null values

Explanation:

Pig is designed to handle null values gracefully. It supports operations on null values, treating them distinctly from other values, and provides functions to deal with nulls effectively.

Related MCQ (Multiple Choice Questions) :

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