자격증의 가치는 발급 기관의 공신력에서 나옵니다. Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade처럼 업계에서 널리 인정받는 자격을 목표로 하신다면, 2026년 기준으로 전문가들이 검증한 Fast2test의 CCA-505 학습 자료로 준비하시기 바랍니다.

Cloudera CCA-505 시험 개요:

Cloudera CCA-505 시험 요강 주제:

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade에 대해 수험생이 가장 많이 묻는 질문

최신 CCAH CCA-505 무료샘플문제

문제 #1

You observe that the number of spilled records from Map tasks far exceeds the number of map output records. Your child heap size is 1GB and your io.sort.mb value is set to 100 MB. How would you tune your io.sort.mb value to achieve maximum memory to disk I/O ratio?

A. For 1GB child heap size an io.sort.mb of 128 MB will always maximize memory to disk I/O
B. Increase the io.sort.mb to 1GB
C. Tune the io.sort.mb value until you observe that the number of spilled records equals (or is as close to equals) the number of map output records
D. Decrease the io.sort.mb value to 0

문제 #2

Which YARN process runs as "controller O" of a submitted job and is responsible for resource requests?

A. ResourceManager
B. JobHistoryServer
C. ApplicationManager
D. JobTracker
E. NodeManager
F. ApplicationMaster

문제 #3

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. 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
B. Restart the NameNode
C. Without creating a dfs.hosts file or making any entries, run the command hadoop dfsadmin -refreshHadoop on the NameNode
D. Nothing; the worker node will automatically join the cluster when the DataNode daemon is started.

문제 #4

Your cluster's mapped-site.xml includes the following parameters
<name>mapreduce.map.memory.mb</name>
<value>4096<value/>
<name>mapreduce.reduce.memory,mb</name>
<value>8192</value>
And your cluster's yarn-site.xml includes the following parameters
<name>yarn.nodemanager/vmen-pmem-ratio</name>
<value>2.1</value>
What is the maximum amount of virtual memory allocated for each map before YARN will kill its Container?

A. 4 GB
B. 24.6 GB
C. 8.2 GB
D. 17.2 GB

문제 #5

You are configuring a cluster running HDFS, MapReduce version 2 (MRv2) on YARN
running Linux. How must you format the underlying filesystem of each DataNode?

A. They must be formatted as either ext3 or ext4
B. They must not formatted - - HDFS will format the filesystem automatically
C. They must be formatted as HDFS
D. They may be formatted in any Linux filesystem

질문과 대답: