Hadoop Administrator Practice Exam

Hadoop Administrator Practice Exam

A Hadoop Administrator is a professional who manages and looks after the Hadoop ecosystem, which is a system used to store and process massive amounts of data. Just like a building needs a caretaker to keep everything running smoothly, Hadoop needs an administrator to install it, configure it, monitor it, and fix problems when they arise.

They make sure that data flows safely, the system works without interruption, and performance stays high. In today’s world where businesses deal with huge data, a Hadoop Administrator ensures that companies can handle this data effectively and securely.

Who should take the Exam?

This exam is ideal for:

• IT professionals aiming for a big data career
• System administrators looking to specialize in Hadoop
• Database administrators wanting to upgrade skills
• Engineers working in data-related fields
• Fresh graduates interested in big data management
• Professionals seeking growth in cloud and data roles

Skills Required

• Knowledge of Linux/Unix systems
• Networking and system monitoring skills
• Understanding of Hadoop architecture
• Problem-solving and troubleshooting ability
• Basic knowledge of databases and scripting

Knowledge Gained

• Installing and configuring Hadoop clusters
• Managing Hadoop services and components
• Monitoring cluster performance
• Handling data security and user access
• Troubleshooting and recovering from failures
• Using tools for cluster management and optimization

Course Outline

The Hadoop Administrator Exam covers the following topics -

1. Introduction to Hadoop Administration

• Role of a Hadoop Administrator
• Overview of Hadoop ecosystem
• Hadoop cluster types and use cases

2. Hadoop Cluster Setup

• Installation steps
• Configuration files and parameters
• Multi-node cluster setup

3. Hadoop Ecosystem Components

• HDFS (Hadoop Distributed File System)
• YARN (Yet Another Resource Negotiator)
• MapReduce basics
• Hive, HBase, and Pig overview

4. Cluster Monitoring & Maintenance

• Using monitoring tools
• Log management
• Health checks and alerts

5. Security & User Management

• Authentication and authorization
• Kerberos integration basics
• Data protection techniques

6. Troubleshooting & Optimization

• Common errors and fixes
• Performance tuning
• Backup and recovery strategies

7. Advanced Administration Practices

• High availability setup
• Cluster scaling
• Cloud integration with Hadoop