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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

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

Configure a service using Cloudera Manager

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

Rebalance the cluster

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

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
• Enable/configure log and query redaction
• Install and configure Sentry

Execute file system commands via HTTPFS

• Efficiently copy data within a cluster/between clusters
• 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
• Get/set ACLs for a file or directory structure
• Create/restore a snapshot of an HDFS directory

Resolve errors/warnings in Cloudera Manager

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

Introduction to Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam

The Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam validates your ability to use Apache SparkTM and Cloudera Enterprise devices to ingest, modify, and communicate with data. Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Certification is a mark of competence, consistency, and perfection in Apache Hadoop growth.

This exam provides engineers with the core concepts and skills they'll need to use Apache Spark to create equivalent uses of elite. Members can learn how to use Spark SQL to query structured data and Spark Streaming to constantly manage streaming data from a variety of outlets, such as CLOUDERA CCA-332 exam dumps. Engineers will also focus on writing programs that use center Spark to do ETL handling and iterative calculations. This certification allows participants to handle large amounts of data stored in a distributed record system and to operate a Hadoop cluster of Spark applications. Members can be set up to work with verifiable problems to render applications that extend to a broad range of utilization situations, templates, and projects to conduct quicker, safer, and cooperative inquiry as a result of this confirmation.

The main goal of this credential is to assist Hadoop engineers with cutting-edge instruments and operating techniques in creating a more imposing order than the existing Hadoop Development Protocols. The following themes are controlled by this certificate:

Scala Programming Language - Apache Hadoop - Apache Spark - The following are some of the accreditation's destinations: - Apache Hadoop ecosystem in the knowledge preparation lifecycle

• In a Hadoop cluster, data circulation, storage, and preparation
• Developing, organising, and distributing Apache Spark applications on a Hadoop cluster
• Flash Streaming is used to communicate with a live data stream.
• Inquire, calculate, and dissect appropriated data using Flash shell and Spark software - Inquiry data using Spark SQL, DataFrames, and Datasets

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How to study the Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam

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