Free CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) Exam Questions and Answers
Cloudera Certified Administrator for Apache Hadoop (CCAH) is part of the Cloudera certification programme. The CCA and CCP certifications were retired on 31 October 2021, superseded after the Hortonworks merger by role-based exams built on the Cloudera Data Platform — generalist, data engineer, machine learning engineer and administrator among them — delivered as proctored online exams with digital badges. A legacy CCA or CCP does not convert into a CDP credential: there is no transfer path, and holders keep the old designation without it counting towards the new one. Cloudera does not publish pricing on the pages describing them.
Candidates comparing CCA-500 exam dumps, ExamTopics and other CCA-500 practice tests use this page for the answers and explanations behind each question. Download the free CCA-500 PDF, then sit the timed CCA-500 exam simulation before booking with Cloudera.
Last updated: November 4, 2026
- Exam code
- CCA-500
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Question #1
On a CDH 5 cluster with all settings at their defaults, which port serves the NameNode web UI?
Correct answer: C
Explanation
The NameNode web UI listens on port 50070 by default. Port 8020 is the NameNode RPC port, 8088 is the ResourceManager web UI, and 50075 is the DataNode web UI.
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Question #2
Your cluster runs MapReduce v2 on YARN with yarn.log-aggregation-enable set to true. A job finished an hour ago and you need to read the logs of its containers. Which two methods can you use? (Choose two.)
Select 2 answers.
Correct answer: A, C
Explanation
With log aggregation enabled, NodeManagers upload container logs to HDFS when the application completes, and both the yarn logs command and the JobHistory Server read them from there. The local log directories are deleted after upload, and the NameNode web UI exposes only NameNode logs.
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Question #3
An administrator adds the following lines to hadoop-metrics2.properties on every host and restarts all daemons. *.sink.file.class=org.apache.hadoop.metrics2.sink.FileSink *.period=10 namenode.sink.file.filename=namenode-metrics.out Metrics are written to namenode-metrics.out on the NameNode host, but no metrics file appears on the DataNode hosts. What is the most likely explanation?
Correct answer: B
Explanation
The metrics2 framework applies the wildcard sink class to all daemons, but each daemon needs its own filename property. Without datanode.sink.file.filename, FileSink writes to standard output, which ends up in the daemon's .out file. The period setting with the wildcard prefix applies to all daemons.
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Question #4
A user runs a MapReduce job with hadoop jar on a cluster running YARN. The client has copied the job JAR, configuration and input split metadata to HDFS and has submitted the application. What happens next, before any map task starts?
Correct answer: B
Explanation
On submission, the ResourceManager's scheduler allocates the first container for the application and instructs a NodeManager to launch the ApplicationMaster in it. The ApplicationMaster then requests containers for map and reduce tasks. YARN has no JobTracker, and clients do not launch containers themselves.
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Question #5
Your company will deploy a 30-node production cluster running CDH 5. The standard server image is Windows Server 2012. The operations team can also support CentOS 6 and the most recent Fedora release. Which operating system plan is MOST appropriate?
Correct answer: C
Explanation
CDH 5 production clusters run on supported Linux distributions such as RHEL and CentOS, and the same OS is normally used on all nodes. Windows is not a supported platform, so Cygwin and mixed-OS plans are not appropriate. Fedora is a fast-moving release that is not a certified CDH platform.
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Question #6
You restart the NameNode of a running cluster. The NameNode enters safe mode and stays there for several minutes. During this time, how does the NameNode learn which DataNodes hold the replicas of each block?
Correct answer: B
Explanation
The fsimage and edits log record the namespace and the block IDs of each file, but not which DataNodes store the replicas. The NameNode rebuilds that mapping from block reports and leaves safe mode once enough blocks have reported. The Secondary NameNode holds only a checkpoint of the namespace.
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Question #7
The log4j.properties file for a Hadoop daemon contains the following lines: hadoop.root.logger=INFO,RFA log4j.appender.RFA=org.apache.log4j.RollingFileAppender log4j.appender.RFA.MaxFileSize=${hadoop.log.maxfilesize} What is the effect of these settings?
Correct answer: D
Explanation
RFA is bound to RollingFileAppender, and MaxFileSize sets the size at which the file rolls over. A daily rollover would require DailyRollingFileAppender (commonly named DRFA). The console appender is selected with the name console.
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Question #8
You installed Sqoop from CDH 5 packages on a gateway machine. An import from a MySQL database fails with the error: Could not load db driver class: com.mysql.jdbc.Driver. What should you do?
Correct answer: A
Explanation
Sqoop does not bundle JDBC drivers for licensing reasons. The driver JAR must be placed in Sqoop's library directory on the machine where the sqoop command runs, and Sqoop ships it to the cluster for the job. Installing it on every DataNode or in HDFS does not make it visible to the client.
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Question #9
An administrator wants a script to retrieve current NameNode metrics, such as CapacityUsed and NumLiveDataNodes, as JSON without changing any configuration. Which approach should the administrator use?
Correct answer: C
Explanation
Hadoop daemons expose their JMX metrics as JSON through the /jmx servlet of the daemon's embedded web server, with no configuration change. The metasave command writes block and DataNode details to a file rather than these metrics, and fsck reports file system health only.
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Question #10
You add 10 new DataNodes to a cluster whose existing DataNodes are about 80% full. The new nodes are nearly empty. You want to move existing blocks so that the utilization of every DataNode is within 10 percentage points of the cluster average. Which command do you run?
Correct answer: C
Explanation
The HDFS balancer moves blocks from over-utilized DataNodes to under-utilized ones until each node is within the threshold of the cluster average. The setBalancerBandwidth command only changes how fast balancing may run, and refreshNodes rereads the include and exclude files.
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FAQ
Learn More: https://www.cloudera.com/services-and-support/training/certification.html
- Q1: What is the CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) exam?
- A: CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) is a Cloudera certification exam. Judging by the questions in our bank, it concentrates on hadoop, HDFS, yarn, cluster and mapreduce.
- Q2: What topics does the CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) exam cover?
- A: Questions in our CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) bank cluster around hadoop, HDFS, yarn, cluster, mapreduce, mrv2, namenode and mrv1. Working through the full set is the quickest way to find which of these you are weakest on.
- Q3: How should I prepare for CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH)?
- A: Work through the CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) practice questions here, checking your answer on each one, then sit the practice test to rehearse the exam under timed conditions before the real thing.
- Q4: Are these real CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) exam questions?
- A: They are drawn from officially released past questions and from community members who have sat CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH). Answers are verified and updated weekly.
- Q5: Where do I register for the CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) exam?
- A: Register through Cloudera directly. Exampractice is not affiliated with Cloudera and does not administer the exam.
- Q6: Is there a free CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) sample?
- A: Yes. Every CCA-500: Cloudera Certified Administrator for Apache Hadoop (CCAH) page shows a free sample of real questions. Upgrading opens the full bank and the practice test.
- Q7: What are Cloudera Certification Exams?
- A: Cloudera Certification Exams validate your expertise in big data technologies and platforms, including Hadoop, Spark, data engineering, data analysis, and machine learning. These certifications demonstrate your proficiency in managing, analyzing, and deriving insights from large datasets using Cloudera's tools and technologies.
- Q8: Why should I pursue Cloudera Certification?
- A: Cloudera Certification enhances your professional credibility, showcasing your skills and knowledge in big data and analytics. This can lead to better job opportunities, higher salaries, and career advancement in data engineering, data science, and IT fields.
- Q9: What are the benefits of Cloudera Certification?
- A: Benefits include recognition as a certified big data professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest big data technologies and best practices.
- Q10: Who should take Cloudera Certification Exams?
- A: Data engineers, data scientists, system administrators, and IT professionals involved in managing and analyzing large datasets should consider these certifications to validate their expertise and advance their careers.
- Q11: What types of Cloudera Certification Exams are available?
- A: Cloudera offers various certification paths, including:
- Q12: How do I prepare for Cloudera Certification Exams?
- A: Preparation can include official Cloudera training courses, study guides, practice exams, online tutorials, and hands-on experience with Cloudera tools and big data technologies.
- Q13: Where can I take Cloudera Certification Exams?
- A: Cloudera Certification Exams can be taken online through remote proctoring or at authorized testing centers worldwide, providing flexibility to fit your schedule and location.
- Q14: How do Cloudera Certifications impact my career?
- A: Cloudera Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in data engineering, data science, and IT.
- Q15: Are there any prerequisites for Cloudera Certification Exams?
- A: Some exams may have prerequisites, such as foundational knowledge or prior experience with big data technologies. Check the specific requirements for each certification path on the Cloudera website.
- Q16: How often do I need to recertify for Cloudera Certifications?
- A: Cloudera Certifications typically do not have a mandatory recertification requirement, but staying updated with the latest big data technologies and continuing professional development is recommended to maintain your skills and relevance in the industry.



