About Cloudera CCA-500 Exam

Our CCA-500 exam dumps will include those topics:

Hadoop Concepts
Cluster Resources
Hive
Cluster Hadoop
PIG
Hadoop Map Reduce

For more info visit: CCA-500 Exam Reference

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CCA-500 - Cloudera Certified Administrator for Apache Hadoop (CCAH) Certification

The CCA-500 exam is part of the new Cloudera Certified Administrator for Apache Hadoop (CCAH) Certification The Certification will verify your ability with configuration tasks. Some of the tasks require making configuration and service changes via Cloudera Manager, while others demand knowledge of command line Hadoop utilities and basic competence with the Linux environment. There are no prerequisites for taking any Cloudera certification exam; however, a background in system administration and a training with our CCA-500 exam dumps is strongly recommended.

This is a list of covered topics:

Set up a local CDH repository and Perform OS-Level Configuration
Secure Cloudera \ configure Sentry
&mldr;.
Create/restore a snapshot of an HDFS directory
Setup and Administrate a Cluster
Resolve errors/warnings in Cloudera Manager
Configure Cloudera Services

Reference: http://www.cloudera.com/training/certification/ccah.html

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Cloudera CCA-500 Exam Syllabus Topics:

Section	Objectives
Topic 1: Hadoop Cluster Architecture	- YARN resource management 1. ResourceManager and NodeManager 2. Application lifecycle management - HDFS architecture and components 1. NameNode and DataNode roles 2. HDFS read/write operations
Topic 2: Cluster Administration and Maintenance	- Performance tuning 1. Job performance tuning basics 2. Resource allocation optimization - Monitoring and troubleshooting 1. Log analysis and debugging 2. Cluster health monitoring
Topic 3: Cluster Installation and Configuration	- Cloudera Manager usage 1. Service configuration management 2. Cluster deployment and setup
Topic 4: Security and Access Control	- Authentication and authorization 1. Role-based access control concepts 2. Kerberos integration basics
Topic 5: Data Management and Processing	- Data ingestion and storage 1. Basic data movement tools 2. HDFS data replication and storage policies - MapReduce fundamentals 1. Job execution flow 2. Input/output formats