The Cloudera Certified Administrator for Apache Hadoop (CCAH) was a certification offered by Cloudera for IT professionals who work with Apache Hadoop. However, keep in mind that certification details, exams, and programs may change over time. Typically, the CCAH certification would validate the skills and knowledge required to deploy, configure, and manage Hadoop clusters using Cloudera Manager. Candidates might be tested on tasks such as installation, configuration, troubleshooting, and performance tuning of Hadoop clusters.

Who should do This Course

The Cloudera Certified Administrator for Apache Hadoop (CCAH) certification is intended for IT professionals tasked with deploying, configuring, and managing Apache Hadoop clusters. It is particularly suitable for Hadoop administrators, system administrators seeking specialization in Hadoop, data engineers involved in large dataset processing, and IT managers or architects overseeing big data infrastructure. Prerequisites for the certification typically include hands-on experience with Hadoop cluster administration, a solid understanding of the Hadoop ecosystem components and their interactions, familiarity with Linux/Unix systems, and optionally, completion of relevant Cloudera training or equivalent knowledge. The certification aims to validate candidates' proficiency in tasks such as installation, configuration, troubleshooting, and performance tuning within the Hadoop environment

Duration : 2 Months

Exam Code : Cloudera Certified Administrator for Apache Hadoop (CCAH)

The Cloudera Certified Administrator for Apache Hadoop (CCAH) exam is designed to assess the practical skills and proficiency of IT professionals in deploying, configuring, and managing Hadoop clusters. Typically structured as a hands-on, practical examination, candidates are evaluated on their ability to perform real-world tasks within a simulated Hadoop environment. The exam duration is generally a few hours, during which candidates must complete a set of tasks that may include installation, configuration, troubleshooting, and performance tuning. While specific details may vary, candidates are often provided access to documentation, mirroring real-world scenarios where administrators refer to resources for guidance. Successful completion of the exam requires achieving a passing score set by Cloudera. While there might not be strict prerequisites, candidates are recommended to have practical experience in Hadoop cluster administration and a solid understanding of related technologies.


Infobit Technologies offers a standout Cloudera Certified Administrator for Apache Hadoop (CCAH) course, providing expert-led training in Hadoop administration. With a carefully crafted curriculum aligned with CCAH exam objectives, the program emphasizes practical skills through hands-on labs. Instructors, including certified professionals, impart real-world experience, covering crucial aspects like cluster configuration, security, troubleshooting, and performance optimization. The course facilitates community engagement, connecting students with a network of Hadoop administrators. Additionally, Infobit Technologies provides job placement support, making this program a comprehensive and empowering choice for those looking to excel in Hadoop administration and advance their careers in big data.

Cloudera Certified Administrator for Apache Hadoop (CCAH) course :

1. Introduction to Hadoop:

  • Overview of Apache Hadoop and its ecosystem.
  • Understanding distributed computing principles.

2. Hadoop Installation and Configuration:

  • Installing and configuring Hadoop components.
  • Cloudera Manager usage for cluster management.

3. Hadoop Cluster Administration:

  • Cluster maintenance and troubleshooting.
  • Task monitoring and log analysis
  • Node commissioning and decommissioning.

4. Hadoop Security:

  • Configuring Hadoop security features.
  • Managing user access and permissions.

5. Hadoop Ecosystem Components:

  • In-depth understanding of key Hadoop ecosystem components, such as HDFS, MapReduce, Hive, Pig, HBase, etc.

6. Data Ingestion and Export:

  • Techniques for ingesting data into Hadoop clusters.
  • Exporting and retrieving data from Hadoop.

7. Performance Tuning:

  • Optimizing Hadoop cluster performance.
  • Best practices for efficient data processing.

8. Backup and Recovery:

  • Strategies for backing up Hadoop data.
  • Recovery procedures in case of failures.

9. Monitoring and Metrics:

  • Utilizing monitoring tools to track cluster performance.
  • Interpreting and acting upon metrics.

10. High Availability:

  • Configuring high availability for critical Hadoop components.
  • Ensuring continuous operation of the Hadoop cluster.

11. Upgrading Hadoop:

  • Strategies and procedures for upgrading Hadoop components.
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