Who should take the Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam

The Cloudera CCA-332: Cloudera Certified Administrator for Apache Hadoop Exam is for people who can convert a series of data values in a given format stored in HDFS into new data values or a new data format, as well as write to HDFS. And for those who can use Spark SQL to interact programmatically with the megastore in applications, as well as those who can use queries to produce reports against loaded results. You should look over the contents of the CLOUDERA CCA-332 exam dumps and see how they meet your needs. 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.

This test is for people who are able to:

• Read and write a wide range of file formats
• Use Spark to filter data
• Use HDFS to load data for Spark applications; - Use Spark to write the results back to HDFS
• Use the Spark API to perform regular extract, convert, and load (ETL) operations on data - Use metastore tables as an input source or an output sink for Spark applications - Know the basics of querying datasets in Spark
• Generate rated or ordered data - Have command-line choices to adjust the configuration of your program, such as increasing usable memory
• Create queries that compute aggregate statistics - Use Spark to enter diverse datasets

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
• Perform OS-level configuration for Hadoop installation
• Perform basic and advanced configuration needed to effectively administer a Hadoop cluster
• Add a service using Cloudera Manager

Configure a service using Cloudera Manager

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

Rebalance the cluster

• Set up alerting for excessive disk fill
• Commission/decommission a node
• Install new type of I/O compression library in cluster
• Revise YARN resource assignment based on user feedback
• 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

Configure HDFS ACLs

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

Execute file system commands via HTTPFS

• Benchmark the cluster (I/O, CPU, network)
• Create/restore a snapshot of an HDFS directory
• 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
• Efficiently copy data within a cluster/between clusters

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

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