Cloudera CCA-505

初心者であっても、我が社のCloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade Exam試験勉強資料の学習ガイドは適合です。20から40までの時間を費やして認定試験専門知識を掌ります。自信満々に試験に参加して高いポイントを得られます。

CCA-505認定資格試験の難しさなので、我々サイトCCA-505であなたに適当する認定試験関連学習資料を見つけるし、本当の試験での試験問題の難しさを克服することができます。当社はCCA-505認定試験の最新要求にいつもでも関心を寄せて、最新かつ質高い模擬資料を準備します。また、購入する前に、無料のPDF版デモをダウンロードして正確性をチェックすることができます。

全額返済保証

当社CCA-505認定試験勉強資料をもって、簡単に試験に合格するのを助けますが、我々のCCA-505学習資料を使用して合格しない場合に、全額返金のことを保証します。私たちの唯一の目的は、あなたが簡単に試験に合格させることです。

CCA-505試験問題集をすぐにダウンロード：成功に支払ってから、我々のシステムは自動的にメールであなたの購入した商品をあなたのメールアドレスにお送りいたします。（12時間以内で届かないなら、我々を連絡してください。Note：ゴミ箱の検査を忘れないでください。）

試験内容のキーポイントをカバー

Jpshikenは試験のコンセプトとキーポイントを把握し、受験者たちに有効なCCA-505勉強資料を準備します。CCA-505関連勉強資料は本番試験内容の95％をカバーします。すべての勉強資料は実際試験に出る問題と解答があります。70%問題は解説をつきます。

無料更新サービス

CCA-505試験勉強資料は試験の情報に従って常に更新を行います。お客様に購入日から一年以内の更新サービスを無料に提供します。更新があると、我々社のシステムはCCA-505試験勉強資料のアップデート版をタイムリーに送信します。

Cloudera CCA-505 試験シラバストピック:

Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade 認定 CCA-505 試験問題：

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

2. ---
Your cluster has the following characteristics:
A rack aware topology is configured and on
Replication is not set to 3
Cluster block size is set to 64 MB
Which describes the file read process when a client application connects into the cluster and requests a 50MB file?

A) The client queries the NameNode for the locations of the block, and reads from a random location in the list it retrieves to eliminate network I/O leads by balancing which nodes it retrieves data from at any given time.
B) The client queries the NameNode for the locations of the block, and reads all three copies. The first copy to complete transfer to the client is the one the client reads as part of Hadoop's speculative execution framework.
C) The client queries the NameNode which retrieves the block from the nearest DataNode to the client and then passes that block back to the client.
D) The client queries the NameNode for the locations of the block, and reads from the first location in the list it receives.

3. You are planning a Hadoop cluster and considering implementing 10 Gigabit Ethernet as the network fabric. Which workloads benefit the most from a faster network fabric?

A) When your workload generates a large amount of intermediate data, on the order of the input data itself
B) When workload consumers a large amount of input data, relative to the entire capacity of HDFS
C) When your workload generates a large amount of output data, significantly larger than amount of intermediate data
D) When your workload consists of processor-intensive tasks

4. Which three basic configuration parameters must you set to migrate your cluster from MapReduce1 (MRv1) to MapReduce v2 (MRv2)?

A) Configure the number of map tasks per job on YARN by setting the following property in
mapred-site.xml:
<name>mapreduce.job.maps</name>
<value>2</value>
B) Configure MapReduce as a framework running on YARN by setting the following
property in mapred-site.xml:
<name>mapreduce.framework.name</name>
<value>yarn</value>
C) Configure the NodeManager to enable MapReduce services on YARN by adding
following property in yarn-site.xml:
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
D) Configure a default scheduler to run on YARN by setting the following property in
sapred-site.xml:
<name>mapreduce.jobtracker.taskScheduler</name>
<value>org.apache.hadoop.mapred.JobQueueTaskScheduler</value>
E) Configure the NodeManager hostname and enable services on YARN by setting the
following property in yarn-site.xml:
<name>yarn.nodemanager.hostname</name>
<value>your_nodeManager_hostname</value>
F) Configure the ResourceManager hostname and enable node services on YARN by
setting the following property in yarn-site.xml:
<name>yarn.resourcemanager.hostname</name>
<value>your_responseManager_hostname</value>

5. Your Hadoop cluster contains nodes in three racks. You have NOT configured the dfs.hosts property in the NameNode's configuration file. What results?

A) No new nodes can be added to the cluster until you specify them in the dfs.hosts file
B) Any machine running the DataNode daemon can immediately join the cluster
C) The NameNode will update the dfs.hosts property to include machine running DataNode daemon on the next NameNode reboot or with the command dfsadmin -refreshNodes
D) Presented with a blank dfs.hosts property, the NameNode will permit DatNode specified in mapred.hosts to join the cluster

質問と回答：