Hadoop Administrator Practice Exam
Hadoop Administrator Practice Exam
About Hadoop Administrator Exam
The Hadoop Administrator Exam tests your knowledge and capabilities in managing, configuring, monitoring, and maintaining Hadoop clusters. Designed for system administrators and data engineers, this exam validates your proficiency in handling large-scale distributed systems, ensuring cluster performance, implementing security, and supporting big data operations using the Hadoop ecosystem.
Who should take the Exam?
This exam is ideal for:
- System administrators responsible for managing big data infrastructure
- Data engineers working on Hadoop-based data platforms
- IT professionals aiming to transition into big data roles
- Database administrators expanding into distributed storage technologies
- Cloud engineers and DevOps professionals supporting Hadoop in hybrid environments
Skills Required
- Understanding of Linux systems and shell scripting
- Familiarity with Hadoop architecture and core components
- Basic networking and hardware resource management knowledge
- Ability to configure, deploy, and troubleshoot Hadoop clusters
Knowledge Gained
- Installation and configuration of Hadoop in distributed environments
- Managing HDFS, YARN, and MapReduce resources effectively
- Monitoring cluster health and resolving performance bottlenecks
- Implementing security, user management, and backup strategies
- Understanding integration with tools like Hive, Pig, and HBase
Course Outline
The Hadoop Administrator Exam covers the following topics -
Domain 1 – Hadoop Fundamentals and Architecture
- Overview of Hadoop ecosystem and its components
- Understanding HDFS, MapReduce, and YARN
- Cluster architecture and data flow
Domain 2 – Cluster Installation and Configuration
- Hardware and software prerequisites for Hadoop installation
- Setting up single-node and multi-node clusters
- Configuring core-site, hdfs-site, yarn-site, and mapred-site
Domain 3 – HDFS and Resource Management
- Managing HDFS storage and block replication
- Monitoring and tuning YARN resource manager
- Understanding NameNode and DataNode operations
Domain 4 – Cluster Monitoring and Troubleshooting
- Using logs, JMX, and monitoring tools (e.g., Ambari, Cloudera Manager)
- Analyzing and resolving node and job failures
- Performance tuning and bottleneck detection
Domain 5 – Security and Access Control
- Configuring Kerberos authentication
- Managing user permissions and HDFS ACLs
- Securing data access and auditing activity
Domain 6 – Backup, Recovery, and High Availability
- Configuring snapshots and data recovery strategies
- Setting up NameNode high availability
- Implementing cluster failover and disaster recovery plans
Domain 7 – Ecosystem Tools and Integration
- Integrating Hive, Pig, HBase, and Sqoop with Hadoop
- Managing services and job execution with Oozie
- Support for data ingestion and workflow automation
