Cloudera CCA-505 Q&A - in .pdf

  • Exam Code: CCA-505
  • Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam
  • Updated: Oct 22, 2026
  • Q & A: 45 Questions and Answers
  • PDF Price: $49.99
  • Printable Cloudera CCA-505 PDF Format. It is an electronic file format regardless of the operating system platform.
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Cloudera CCA-505 Q&A - Testing Engine

  • Exam Code: CCA-505
  • Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam
  • Updated: Oct 22, 2026
  • Q & A: 45 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $49.99
  • Testing Engine

Cloudera CCA-505 Value Pack (Frequently Bought Together)

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About Cloudera CCA-505 Exam Actual tests

Exam nerves usually come from unfamiliarity, and unfamiliarity is fixable. Rehearse the Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade experience in the Prep4sureGuide test engines until the CCA-505 format, timing, and question style all feel like home turf.

Cloudera CCA-505 Exam Syllabus Topics:

SectionWeightObjectives
HDFS & Data Management20%- Set and modify file/directory ACLs
- HDFS permission and quota management
- Create and manage HDFS directories
Cluster Configuration & Management30%- Manage services via Cloudera Manager
- Add/remove nodes to existing cluster
- Basic and advanced cluster configuration
- Configure NameNode High Availability
Installation & System Preparation20%- OS-level configuration for Hadoop installation
- Set up local CDH repository
- Install compression libraries
Monitoring, Troubleshooting & Optimization15%- Benchmark cluster performance
- Optimize cluster resource usage
- Diagnose and resolve operational issues
Security & Access Control15%- Secure HiveServer2 and Impala
- Enable and configure cluster security
- Install and configure Sentry
- Hue authentication and authorization

CCA-505 (Cloudera) Exam: Your Questions Answered

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade is an official Cloudera exam, catalogued under the code CCA-505. A pass awards you the Cloudera Certified Administrator for Apache Hadoop (CCAH) certification at the Associate level. It also supports progress toward Cloudera Certified Administrator for Apache Hadoop (CCA-500). Demand for this credential has stayed strong because it validates skills employers can use from day one.

The Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade exam packs 45 questions into 90 minutes. Candidates rarely fail because of one impossible topic; they fail because ten minutes vanished on three stubborn questions. Build a triage habit now: answer, flag, move on, return later. Timed full-length sessions in the Prep4sureGuide test engine are the most honest way to practice that discipline before it counts.

You pass Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade at 70%, and the official registration fee stands at USD 125. One detail worth internalizing: there is no retake discount, so a second sitting costs another full USD 125. Use the Prep4sureGuide practice tests as your gauge and book only when your results clear the requirement with a repeatable margin, not a one-off peak.

Valid CCA-500 certification or equivalent CDH4 administration experience; exam retired as of October 31, 2021

Vendor policies shift over time, so confirm the current entry conditions before paying any registration fee; the official exam page is the authoritative source.

You can sign up for Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade through the official registration points listed here.

Regarding format, the exam is delivered Online proctored or onsite testing center.

Cloudera recommends the following training for Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade candidates.

Course content builds understanding, but the exam grades answers. Bridge the two with the 45 practice questions in the Prep4sureGuide CCA-505 package, and the theory starts converting into points.

Yes. A free demo of the Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade material is available on this page, so you can verify the quality of the questions and the expert-edited answers yourself. Once you purchase, updates are free for 365 days and the newest version is emailed to you automatically as it releases; after expiry, extending the update service costs 50% of the regular price.

A 100% money-back guarantee covers your purchase under defined conditions. If you take the Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade exam within 60 days of buying and fail, you can claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders, and the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, you may exchange rather than refund: two other exam products of equal value, free, with the update service on your original purchase kept intact.

Delivery is instant: files unlock for download upon successful payment and are automatically emailed to you within one minute. If nothing arrives within 2 hours, check spam and contact us by email or online service. Installation is unlimited across your computers.

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade spans 5 official domains. The most heavily weighted include HDFS & Data Management (20%), Installation & System Preparation (20%), and Cluster Configuration & Management (30%). The full topic list is published above on this page; let the weightings decide where your next study hour goes.

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

Question #1

On a cluster running CDH 5.0 or above, you use the hadoop fs -put command to write a 300MB file into a previously empty directory using an HDFS block of 64MB. Just after this command has finished writing 200MB of this file, what would another use see when they look in the directory?

  • A. They will see the file with its original name. if they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster
  • B. The directory will appear to be empty until the entire file write is completed on the cluster
  • C. They will see the file with a ._COPYING_ extension on its name. if they view the file, they will see contents of the file up to the last completed block (as each 64MB block is written, that block becomes available)
  • D. They will see the file with a ._COPYING_extension on its name. If they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

During the execution of a MapReduce v2 (MRv2) job on YARN, where does the Mapper place the intermediate data each Map task?

  • A. The Mapper stores the intermediate data in HDFS on the node where the MAP tasks ran in the HDFS /usercache/&[user]sppcache/application_&(appid) directory for the user who ran the job
  • B. The Mapper stores the intermediate data on the underlying filesystem of the local disk in the directories yarn.nodemanager.local-dirs
  • C. The Mapper transfers the intermediate data immediately to the Reducers as it generated by the Map task
  • D. The Mapper stores the intermediate data on the mode running the job's ApplicationMaster so that is available to YARN's ShuffleService before the data is presented to the Reducer
  • E. YARN holds the intermediate data in the NodeManager's memory (a container) until it is transferred to the Reducers
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

Your cluster is running MapReduce vserion 2 (MRv2) on YARN. Your ResourceManager is configured to use the FairScheduler. Now you want to configure your scheduler such that a new user on the cluster can submit jobs into their own queue application submission. Which configuration should you set?

  • A. You can specify new queue name when user submits a job and new queue can be created dynamically if yarn.scheduler.fair.user-as-default-queue = false
  • B. You can specify new queue name per application in allocation.fair.allow-undeclaredpeople = true automatically assigned to the application queue
  • C. You can specify new queue name when user submits a job and new queue can be created dynamically if the property yarn.scheduler.fair.allow-undecleared-pools = true
  • D. Yarn.scheduler.fair.user-as-default-queue = false and yarn.scheduler.fair.allowundeclared-people = true
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

You are working on a project where you need to chain together MapReduce, Pig jobs. You also needs the ability to use forks, decision, and path joins. Which ecosystem project should you use to perform these actions?

  • A. Oozie
  • B. Sqoop
  • C. Zookeeper
  • D. HUE
  • E. HBase
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

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. Mapreduce.map.java.opts=-Xmx3072m
  • B. Yarn.application.child.java.opts-Xax3072m
  • C. Mapreduce.map.java.opts=-Xms3072m
  • D. Yarn.application.child.java.opts=-3072m
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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