わずか数年の中に、Cloudera CCA-500認定試験がたくさんの人の日常生活にとても大きい影響を与えています。簡単で順調にCloudera CCA-500認定試験を通すのは問題になりますが、Pass4Testはこの問題を解決できるよ。弊社の問題集はIT技術者がこつこつ研究して、正確で最新なもので君のCCA-500認定試験を簡単に通すことにいいトレーニングツールになりますよ。Pass4Testを選られば、成功しましょう。
きみはClouderaのCCA-500認定テストに合格するためにたくさんのルートを選択肢があります。Pass4Testは君のために良い訓練ツールを提供し、君のCloudera認証試に高品質の参考資料を提供しいたします。あなたの全部な需要を満たすためにいつも頑張ります。
今の多くのIT者が参加している試験に、ClouderaのCCA-500認定試験「Cloudera Certified Administrator for Apache Hadoop (CCAH)」がとても人気がある一つとして、合格するために豊富な知識と経験が必要です。ClouderaのCCA-500認定試験に準備する練習ツールや訓練機関に通学しなればまりませんでしょう。Pass4Testは君のもっともよい選択ですよ。多くIT者になりたい方にClouderaのCCA-500認定試験に関する問題集を準備しております。君に短い時間に大量のITの専門知識を補充させています。
試験番号：CCA-500試験科目：「Cloudera Certified Administrator for Apache Hadoop (CCAH)」
一年間無料で問題集をアップデートするサービスを提供いたします
最近更新時間：2014-10-08
問題と解答：全60問 CCA-500 試験問題集
多くのClouderaのCCA-500認定試験を準備している受験生がいろいろなCCA-500「Cloudera Certified Administrator for Apache Hadoop (CCAH)」認証試験についてサービスを提供するサイトオンラインがみつけたがPass4TestはIT業界トップの専門家が研究した参考材料で権威性が高く、品質の高い教育資料で、一回に参加する受験者も合格するのを確保いたします。
あなたは弊社の商品を買ったら一年間に無料でアップサービスが提供された認定試験に合格するまで利用しても喜んでいます。もしテストの内容が変われば、すぐにお客様に伝えます。弊社はあなた１００％合格率を保証いたします。
Pass4Test を選択して１００％の合格率を確保することができて、もし試験に失敗したら、Pass4Testが全額で返金いたします。
購入前にお試し,私たちの試験の質問と回答のいずれかの無料サンプルをダウンロード：http://www.pass4test.jp/CCA-500.html
NO.1 Choose three reasons why should you run the HDFS balancer periodically?
A. To ensure that there is capacity in HDFS for additional data
B. To ensure that all blocks in the cluster are 128MB in size
C. To help HDFS deliver consistent performance under heavy loads
D. To ensure that there is consistent disk utilization across the DataNodes
E. To improve data locality MapReduce
Answer: D
Cloudera教材 CCA-500 CCA-500
Explanation:
NOTE: There is only one correct answer in the options for this question. Please check the following
reference:
http://www.quora.com/Apache-Hadoop/It-is-recommended-that-you-run-the-HDFSbalancer-period
ically-Why-Choose-3
NO.2 On a cluster running MapReduce v2 (MRv2) on YARN, a MapReduce job is given a directory of
10 plain text files as its input directory. Each file is made up of 3 HDFS blocks. How many Mappers
will run?
A. We cannot say; the number of Mappers is determined by the ResourceManager
B. We cannot say; the number of Mappers is determined by the developer
C. 30
D. 3
E. 10
F. We cannot say; the number of mappers is determined by the ApplicationMaster
Answer: E
Cloudera独学 CCA-500 vue CCA-500 CCA-500過去 CCA-500受験記
NO.3 You have installed a cluster HDFS and MapReduce version 2 (MRv2) on YARN. You have no
dfs.hosts entry(ies) in your hdfs-site.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 sorting HDFS blocks?
A. Without creating a dfs.hosts file or making any entries, run the commands
hadoop.dfsadmin-refreshModes on the NameNode
B. Restart the NameNode
C. Creating a dfs.hosts file on the NameNode, add the worker Node's name to it, then issue the
command hadoop dfsadmin -refresh Nodes = on the Namenode
D. Nothing; the worker node will automatically join the cluster when NameNode daemon is started
Answer: A
Cloudera CCA-500 CCA-500 CCA-500虎の巻 CCA-500過去 CCA-500学校
NO.4 You are planning a Hadoop cluster and considering implementing 10 Gigabit Ethernet as the
network fabric.
Which workloads benefit the most from faster network fabric?
A. When your workload generates a large amount of output data, significantly larger than the
amount of intermediate data
B. When your workload consumes a large amount of input data, relative to the entire capacity if
HDFS
C. When your workload consists of processor-intensive tasks
D. When your workload generates a large amount of intermediate data, on the order of the input
data itself
Answer: A
Cloudera関節 CCA-500参考書 CCA-500
NO.5 For each YARN job, the Hadoop framework generates task log file. Where are Hadoop task log
files stored?
A. Cached by the NodeManager managing the job containers, then written to a log directory on the
NameNode
B. Cached in the YARN container running the task, then copied into HDFS on job completion
C. In HDFS, in the directory of the user who generates the job
D. On the local disk of the slave mode running the task
Answer: D
Cloudera受験記 CCA-500教育 CCA-500クラムメディア CCA-500認定 CCA-500模擬
NO.6 You are running a Hadoop cluster with a NameNode on host mynamenode, a secondary
NameNode on host mysecondarynamenode and several DataNodes.
Which best describes how you determine when the last checkpoint happened?
A. Execute hdfs namenode -report on the command line and look at the Last Checkpoint
information
B. Execute hdfs dfsadmin -saveNamespace on the command line which returns to you the last
checkpoint value in fstime file
C. Connect to the web UI of the Secondary NameNode (http://mysecondary:50090/) and look at the
"Last Checkpoint" information
D. Connect to the web UI of the NameNode (http://mynamenode:50070) and look at the "Last
Checkpoint" information
Answer: B
Cloudera CCA-500資格 CCA-500 CCA-500練習問題
Reference:https://www.inkling.com/read/hadoop-definitive-guide-tom-white-3rd/chapter10/hdfs
NO.7 Your Hadoop cluster is configuring with HDFS and MapReduce version 2 (MRv2) on YARN. Can
you configure a worker node to run a NodeManager daemon but not a DataNode daemon and still
have a functional cluster?
A. Yes. The daemon will receive data from the NameNode to run Map tasks
B. Yes. The daemon will get data from another (non-local) DataNode to run Map tasks
C. Yes. The daemon will receive Map tasks only
D. Yes. The daemon will receive Reducer tasks only
Answer: A
Cloudera CCA-500フリーク CCA-500試験
NO.8 You observed 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 1000MB. How
would you tune your io.sort.mb value to achieve maximum memory to disk I/O ratio?
A. For a 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. Decrease the io.sort.mb value to 0
D. 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.
Answer: D
Cloudera CCA-500種類 CCA-500虎の巻 CCA-500
没有评论:
发表评论