PIG Practice Exam

About PIG
Apache Pig is a high-level data flow platform for executing MapReduce programs of Hadoop. The language used for Pig is Pig Latin.

The Pig scripts get internally converted to Map Reduce jobs and get executed on data stored in HDFS. Apart from that, Pig can also execute its job in Apache Tez or Apache Spark.

Pig can handle any type of data, i.e., structured, semi-structured or unstructured and stores the corresponding results into Hadoop Data File System. Every task which can be achieved using PIG can also be achieved using java used in MapReduce.

Why is PIG important?
The benefits of Apache Pig are

•    Less development time
•    Easy to learn
•    Procedural language
•    Dataflow
•    Easy to control execution
•    UDFs
•    Lazy evaluation
•    Base Pipeline

Who should take the PIG Exam?
•    Software development professionals
•    Innovators
•    Anyone who wants to assess their PIG skills
•    IT managers and senior executives
•    Big Data consultants
•    Professionals working in outsourced companies responsible for big data using Apache server
•    Any professional with skills and knowledge on back office
•    Anyone interested in the management of contracts
•    Anyone who wants to learn the skills required to address contract management
•    Individuals who encounters contracts within their day-to-day job
•    Students
•    Newcomers to the industry

Knowledge and Skills required for the PIG

An analytical bent of mind and quick learning skills enables candidate to gain quick success in career.

PIG Practice Exam Objective

PIG exam focuses on assessing your skills and knowledge in PIG Latin commands, UDF and Apache Hadoop.

PIG Practice Exam Pre-requisite

There are no prerequisites for the PIG exam. Candidate should be well versed  in Apache Hadoop and PIG to clear the exam.

PIG Certification Course Outline

1. Big Data
1.1. Big Data Definition
1.2. Big Data Types
1.3. Big Data Source
1.4. Big Data Challenges
1.5. Big Data Benefits
1.6. Big Data Applications
1.7. Netflix Application

2. Apache Hadoop
2.1. Introduction
2.2. Advantages & Disadvantages
2.3. History of Hadoop Project
2.4. Need for Hadoop
2.5. Hadoop Architecture
2.6. RDBMS vs. Hadoop
2.7. Vendor Comparison
2.8. Hardware Recommendations
2.9. Hadoop Installation

3. HDFS
3.1. Basics (Blocks, Namenodes and Datanodes)
3.2. HDFS Architecture
3.3. Data Read and Write Process
3.4. HDFS Permissions
3.5. Data Replication
3.6. HDFS Accessibility
3.7. HDFS File system Operations
3.8. HDFS Interfaces
3.9. Heartbeats
3.10. Rack Awareness
3.11. distcp

4. Pig
4.1. Pig Architecture
4.2. Installation and Modes
4.3. Grunt and Pig Script
4.4. Pig Latin Commands
4.5. UDF and Data Processing Operator


Exam Format and Information
Certification name – PIG Certification
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199