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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.
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
- Inquire, calculate, and dissect appropriated data using Flash shell and Spark software - Inquiry data using Spark SQL, DataFrames, and Datasets
- Flash Streaming is used to communicate with a live data stream.
- Developing, organising, and distributing Apache Spark applications on a Hadoop cluster
- In a Hadoop cluster, data circulation, storage, and preparation
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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
- Install Cloudera Manager server and agents
- Add a new node to an existing cluster
- Add a service using Cloudera Manager
- Perform OS-level configuration for Hadoop installation
- Perform basic and advanced configuration needed to effectively administer a Hadoop cluster
Configure a service using Cloudera Manager
- Configure proxy for Hiveserver2/Impala
- Configure NameNode HA
- Create an HDFS user's home directory
- Configure ResourceManager HA
- Maintain and modify the cluster to support day-to-day operations in the enterprise
Rebalance the cluster
- Install new type of I/O compression library in 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
Configure HDFS ACLs
- Benchmark the cluster operational metrics, test system configuration for operation and efficiency
- Create encrypted zones in HDFS
- Configure Hue user authorization and authentication
- Enable/configure log and query redaction
- Install and configure Sentry
Execute file system commands via HTTPFS
- 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
- Efficiently copy data within a cluster/between clusters
- Get/set ACLs for a file or directory structure
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
