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Download Cloudera : CCA-505 Questions & Answers as PDF & Test Software

Last Updated: Sep 03, 2026

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A Cloudera credential still carries serious weight with hiring managers in 2026, and Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade is one of the most direct ways to earn one. Prepare with the 45 expert-verified CCA-505 practice questions from TestSimulate and walk into the test center knowing what to expect.

Cloudera CCA-505 Exam Overview:

Certification Vendor:Cloudera
Exam Name:Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam
Exam Number:CCA-505
Available Languages:English
Related Certifications:Cloudera Certified Professional (CCP)
Cloudera Certified Data Engineer
Cloudera Certified Administrator for Apache Hadoop (CCAH)
Exam Format:Hands-on lab tasks, Performance-based exam
Recommended Training:Cloudera Administrator Training
Exam Registration:Cloudera Certification Portal
Sample Questions:Cloudera CCA-505 Sample Questions
Exam Way:Online proctored or test center (varies by region and provider)
Pre Condition:Recommended experience with Hadoop administration and Cloudera CDH environments.
Official Syllabus URL:https://www.cloudera.com/services-and-support/certification.html

Cloudera CCA-505 Exam Syllabus Topics:

SectionObjectives
Cluster Installation and Configuration- Cloudera Manager usage and configuration
- CDH5 installation and deployment
Upgrade and Maintenance- CDH5 upgrade planning and execution
- Rolling upgrades and rollback procedures
- Cluster monitoring and troubleshooting
HDFS Administration- Data replication, block management, and storage policies
- HDFS configuration and management
- Backup and recovery operations
YARN and Resource Management- Job scheduling and resource allocation
- ResourceManager and NodeManager configuration
Hadoop Cluster Architecture- Core Hadoop components overview (HDFS, YARN, MapReduce)
- Cloudera Distribution for Hadoop (CDH5) architecture
Security and Authentication- Kerberos authentication setup
- Authorization and access control

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade FAQ: What Candidates Ask Most

The CCA-505 exam is the official Cloudera exam behind Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade — passing it earns you the Cloudera Certified Administrator for Apache Hadoop (CCAH) certification, a credential positioned at the Professional level. It is built for candidates who want to validate the skills measured by Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade. Depending on your track, the exam is also linked to the Cloudera Certified Professional (CCP), Cloudera Certified Data Engineer and Cloudera Certified Administrator for Apache Hadoop (CCAH) certifications, so one pass can move you toward more than one Cloudera credential.

Recommended experience with Hadoop administration and Cloudera CDH environments. Because Cloudera revises its certification programs from time to time, treat this as a starting point rather than the final word. Confirm the current eligibility requirements on the official Cloudera exam page before you register.

Registration for the CCA-505 exam is handled through the official channels below:

Delivery method: Online proctored or test center (varies by region and provider) — pick the option that suits you best when booking your slot.

Cloudera points Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade candidates toward the following official courses:

Official courses build the foundation; pairing them with the 45 CCA-505 practice questions from TestSimulate turns that knowledge into exam-day readiness.

Yes. A free PDF demo of the CCA-505 practice questions is available, so you can check the question style and answer quality before spending anything. Every purchase also includes 365 days of free updates — whenever Cloudera adjusts the Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade blueprint, your material is refreshed at no cost during that period. After the first year, you can extend the update service at a 50% discount from your member zone.

TestSimulate backs your purchase with a 100% Money Back Guarantee. If you take the corresponding exam within 60 days of purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip together with the official Score Report PDF within 2 days of your exam date; approved claims are processed within 7 days. The guarantee applies only to the exam matching your purchase, the candidate name must match the payer name, and it does not cover attempts taken within 3 days of purchase, candidates who downloaded the material but never sat the exam, expired orders, or free materials. If you would rather keep preparing, you can exchange the product for two free exam preparation packages of equal value and keep the update service on your original purchase.

Delivery is instant: your download is available right after payment, and a copy is emailed to you within one minute. If nothing arrives within 2 hours, check your spam folder and contact our support team. There is no limit on the number of computers you can install the software on.

The Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade syllabus is organized into 6 domains. Among the headline areas are HDFS Administration, Hadoop Cluster Architecture, YARN and Resource Management. Rather than copying every subtopic here, we keep the complete, current outline in the Exam Topics section above — work through it domain by domain with the TestSimulate CCA-505 practice questions so nothing on the blueprint catches you off guard.

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Sample Questions:

Question 1

You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You consistently see that MapReduce map tasks on your cluster are running slowly because of excessive garbage collection of JVM, how do you increase JVM heap property to 3GB to optimize performance?

A. Yarn.application.child.java.opts=-3072m
B. Mapreduce.map.java.opts=-Xms3072m
C. Mapreduce.map.java.opts=-Xmx3072m
D. Yarn.application.child.java.opts-Xax3072m


Question 2

You have installed a cluster running HDFS and MapReduce version 2 (MRv2) on YARN. You have no afs.hosts entry()ies in your hdfs-alte.xml configuration file. You configure a new worker node by setting fs.default.name in its configuration files to point to the NameNode on your cluster, and you start the DataNode daemon on that worker node.
What do you have to do on the cluster to allow the worker node to join, and start storing HDFS blocks?

A. Nothing; the worker node will automatically join the cluster when the DataNode daemon is started.
B. Create a dfs.hosts file on the NameNode, add the worker node's name to it, then issue the command hadoop dfsadmin -refreshNodes on the NameNode
C. Without creating a dfs.hosts file or making any entries, run the command hadoop dfsadmin -refreshHadoop on the NameNode
D. Restart the NameNode


Question 3

You have converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to a MapReduce 2 (MRv2) on YARN architecture. Your developers are accustomed to specifying map and reduce tasks (resource allocation) tasks when they run jobs. A developer wants to know how specify to reduce tasks when a specific job runs. Which method should you tell that developer to implement?

A. In YARN, resource allocation is a function of virtual cores specified by the ApplicationMaster making requests to the NodeManager where a reduce task is handled by a single container (and this a single virtual core). Thus, the developer needs to specify the number of virtual cores to the NodeManager by executing -p yarn.nodemanager.cpuvcores=2
B. MapReduce version 2 (MRv2) on YARN abstracts resource allocation away from the idea of "tasks" into memory and virtual cores, thus eliminating the need for a developer to specify the number of reduce tasks, and indeed preventing the developer from specifying the number of reduce tasks.
C. Developers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1) and MapReduce version 2 (MRv2) on YARN. Thus, executing -p mapreduce.job.reduce-2 will specify 2 reduce tasks.
D. In YARN, the ApplicationMaster is responsible for requesting the resources required for a specific job. Thus, executing -p yarn.applicationmaster.reduce.tasks-2 will specify that the ApplicationMaster launch two task containers on the worker nodes.
E. In YARN, resource allocation is a function of megabytes of memory in multiple of 1024mb. Thus, they should specify the amount of memory resource they need by executing -D mapreduce.reduce.memory-mp-2040


Question 4

Your cluster implements HDFS High Availability (HA). Your two NameNodes are named nn01 and nn02. What occurs when you execute the command: hdfs haadmin -failover nn01 nn02

A. nn01 is fenced, and nn02 becomes the active NameNode
B. nn01 becomes the standby NamNode and nn02 becomes the active NAmeNode
C. nn02 becomes the standby NameNode and nn01 becomes the active NameNode
D. nn02 is fenced, and nn01 becomes the active NameNode


Question 5

You want to understand more about how users browse you public website. For example, you want to know which pages they visit prior to placing an order. You have a server farm of 200 web servers hosting your website. Which is the most efficient process to gather these web server logs into your Hadoop cluster for analysis?

A. Import all users clicks from your OLTP databases into Hadoop using Sqoop
B. Ingest the server web logs into HDFS using Flume
C. Sample the web server logs web servers and copy them into HDFS using curl
D. Write a MApReduce job with the web servers from mappers and the Hadoop cluster nodes reducers
E. Channel these clickstream into Hadoop using Hadoop Streaming


Solutions:

Question 1
Answer: C
Question 2
Answer: C
Question 3
Answer: A
Question 4
Answer: A
Question 5
Answer: B,C

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