Hadoop Yarn Practice Exam

The Certificate in Hadoop YARN provides Candidates with a comprehensive understanding of Yet Another Resource Negotiator (YARN), the resource management layer in Apache Hadoop. Candidates learn how to manage resources efficiently, schedule jobs, and improve cluster utilization using YARN. The course covers key topics such as YARN architecture, resource allocation, job scheduling, and cluster monitoring.

The certification covers skills in YARN architecture, resource management, job scheduling, cluster utilization, and troubleshooting.

Candidates should have a basic understanding of Apache Hadoop and cluster computing concepts. Familiarity with Java programming language and Linux operating system is beneficial.
Why is Hadoop Yarn important?

• Efficient resource management in Hadoop clusters
• Improves cluster utilization and scalability
• Enables multi-tenancy in Hadoop clusters
• Supports various types of workloads, including batch, interactive, and real-time processing

Who should take the Hadoop Yarn Exam?

• Hadoop Administrator
• Big Data Engineer
• Cluster Administrator
• Hadoop Developer
• Data Scientist

Skills Evaluated

Candidates taking the certification exam on the Hadoop Yarn is evaluated for the following skills:

• YARN Architecture
• Resource Management
• Job Scheduling
• Cluster Utilization
• Troubleshooting

Hadoop Yarn Certification Course Outline

• Introduction to Hadoop YARN
  • Overview of Resource Management
  • YARN Architecture
• Resource Management
  • NodeManager
  • ResourceManager
• Job Scheduling
  • ApplicationMaster
  • Containerization
• Cluster Utilization
  • Resource Allocation
  • Queue Management
• Troubleshooting
  • Diagnosing Issues
  • Resolving Problems