Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam Certification Path

CCA-332: The CCA Spark and Hadoop Developer Exam is the foundational exam. Applicants who successfully complete the course will be awarded the title of Cloudera CCA 332 Spark Developer. A basic understanding of programming is needed. It is not essential to have any previous awareness of Spark or Hadoop. Apache Spark samples and hands-on tests are given in Scala and Python. The ability to program is needed in one of those languages. A basic understanding of the Linux command line is assumed. It's beneficial to have a basic understanding of SQL.

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How to Prepare For Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam

Preparation Guide for Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam

Introduction

Cloudera regulates the CCA Spark and Hadoop Developer. Cloudera, Inc. is a product company based in the United States that provides a cloud-based or on-premises data design, data warehousing, AI, and inquiry programming platform. In the CCP scheme, the CCA explores specific skills and draws focus to the institutions for a candidate to gain dominance.

Cloudera began as a hybrid open-source Apache Hadoop dispersion that specialized in venture-class executions of the technology (Cloudera Distribution Including Apache Hadoop). Cloudera states that more than half of its specialized presentation goes upstream to the various open source initiatives (Apache Spark, Apache Hive, Apache Avro, Apache HBase, and so on) that come together to form the backbone of Apache Hadoop. Cloudera is also a supporter of the Apache Software Foundation.

The aim of this test control is to give you access to the Cloudera CCA-332 practice exams as well as all of the required test details, as well as to help you set up the Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop exam. This guide includes information on the affirmation test's target audience, suggested preparation and documentation, and a comprehensive list of test objectives, all of which can help you get a passing score and increase the chances of completing the test quickly.

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Topics of Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam

The syllabus outline for the Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam is described below with the main subsections for each section listed. A detailed view of how these sections are distributed in the exams can be found in the CLOUDERA CCA-332 practice exams:

Set up a local CDH repository

• Perform basic and advanced configuration needed to effectively administer a Hadoop cluster
• Install CDH using Cloudera Manager
• Perform OS-level configuration for Hadoop installation
• Add a new node to an existing cluster
• Add a service using Cloudera Manager
• Install Cloudera Manager server and agents

Configure a service using Cloudera Manager

• Create an HDFS user's home directory
• Configure NameNode HA
• Configure proxy for Hiveserver2/Impala
• Maintain and modify the cluster to support day-to-day operations in the enterprise
• Configure ResourceManager HA

Rebalance the cluster

• Enable relevant services and configure the cluster to meet goals defined by security policy; demonstrate knowledge of basic security practices
• Define and install a rack topology script
• Install new type of I/O compression library in cluster
• Revise YARN resource assignment based on user feedback
• Commission/decommission a node
• Set up alerting for excessive disk fill

Configure HDFS ACLs

• Configure Hue user authorization and authentication
• Create encrypted zones in HDFS
• Benchmark the cluster operational metrics, test system configuration for operation and efficiency
• Install and configure Sentry
• Enable/configure log and query redaction

Execute file system commands via HTTPFS

• Get/set ACLs for a file or directory structure
• Efficiently copy data within a cluster/between clusters
• Create/restore a snapshot of an HDFS directory
• Benchmark the cluster (I/O, CPU, network)
• Demonstrate ability to find the root cause of a problem, optimize inefficient execution, and resolve resource contention scenarios

Resolve errors/warnings in Cloudera Manager

• Resolve performance problems/errors in cluster operation
• Determine reason for application failure Configure the Fair Scheduler to resolve application delays