Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade can feel demanding because it measures both knowledge recall and practical decision-making. With 45 CCA-505 practice questions from Actual4dump, you can turn a broad syllabus into repeated, manageable review sessions.

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Cloudera CCA-505 Exam Overview:

Cloudera CCA-505 Exam Syllabus Topics:

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

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 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)
B. 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
C. 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.
D. The directory will appear to be empty until the entire file write is completed on the cluster

Question 2

You are migrating a cluster from MapReduce version 1 (MRv1) to MapReduce version2 (MRv2) on YARN. To want to maintain your MRv1 TaskTracker slot capacities when you migrate. What should you do?

A. Configure yarn.applicationmaster.resource.memory-mb and yarn.applicationmaster.cpuvcores so that ApplicationMaster container allocations match the capacity you require.
B. Configure yarn.nodemanager.resource.memory-mb and yarn.nodemanager.resource.cpu-vcores to match the capacity you require under YARN for each NodeManager
C. You don't need to configure or balance these properties in YARN as YARN dynamically balances resource management capabilities on your cluster
D. Configure mapred.tasktracker.map.tasks.maximum and mapred.tasktracker.reduce.tasks.maximum ub yarn.site.xml to match your cluster's configured capacity set by yarn.scheduler.minimum-allocation

Question 3

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. Zookeeper
B. Sqoop
C. HBase
D. Oozie
E. HUE

Question 4

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. Yarn.scheduler.fair.user-as-default-queue = false and yarn.scheduler.fair.allowundeclared-people = true
B. 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
C. 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
D. You can specify new queue name per application in allocation.fair.allow-undeclaredpeople = true automatically assigned to the application queue

Question 5

You are configuring your cluster to run HDFS and MapReduce v2 (MRv2) on YARN. Which daemons need to be installed on your clusters master nodes? (Choose Two)

A. HMaster
B. NameNode
C. ResourceManager
D. JobTracker
E. TaskTracker
F. DataNode

Solutions: