Big Data - Oozie Assessment Test

A Big Data - Oozie Assessment Test evaluates candidates for their proficiency in using Apache Oozie, a workflow scheduler system designed for managing Hadoop jobs. Oozie enables users to define and execute workflows of dependent jobs, including MapReduce, Pig, Hive, and Sqoop jobs, in a coordinated and scheduled manner.

A Big Data - Oozie Assessment Test evaluates candidates for:

1. Oozie Workflow Definition: Ability to define workflows using Oozie XML syntax, including actions, control nodes, and parameters.
2. Workflow Coordination: Understanding of workflow coordination features such as control flow, decision nodes, fork-join, and loops to manage job dependencies.
3. Action Nodes: Proficiency in configuring and executing various types of action nodes, including MapReduce, Pig, Hive, Sqoop, Shell, and Spark actions.
4. Data Ingestion and Export: Knowledge of configuring Sqoop actions to import data from relational databases into Hadoop and export data from Hadoop to external systems.
5. Hadoop Ecosystem Integration: Integration of Oozie workflows with other components of the Hadoop ecosystem, such as HDFS, MapReduce, Hive, and HBase.
6. Workflow Scheduling: Ability to schedule Oozie workflows based on time, data availability, or event triggers using coordinator and bundle applications.
7. Workflow Monitoring and Management: Familiarity with monitoring and managing Oozie workflows through the Oozie web UI, CLI, and REST API.
8. Error Handling and Retry Mechanisms: Implementation of error handling mechanisms, retries, and notifications to handle job failures and ensure workflow reliability.
9. Security and Authorization: Understanding of security features such as Kerberos authentication and fine-grained access control for securing Oozie workflows and resources.
10. Best Practices and Optimization: Knowledge of best practices for designing efficient workflows, optimizing job performance, and troubleshooting common issues.

Overall, our Big Data - Oozie Assessment Test measures candidates' knowledge, skills, and practical experience in using Apache Oozie to orchestrate and manage complex data processing workflows in Hadoop environments, providing valuable insights into their capabilities for workflow automation and job scheduling.