2013年8月18日星期日

最新のClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400試験の練習問題と解答を無料でダウンロード する

IT-Passports.comがもっと早くClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400認証試験に合格させるサイトで、ClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400認証試験についての問題集が市場にどんどん湧いてきます。IT-Passports.comを選択したら、成功をとりましょう。


IT-Passports.comは専門的な、受験生の皆さんを対象とした最も先進的なClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400試験の認証資料を提供しているサイトです。IT-Passports.comを利用したら、ClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400試験に合格するのを心配することはないです。


今の多士済々な社会の中で、IT専門人士はとても人気がありますが、競争も大きいです。だからいろいろな方は試験を借って、自分の社会の地位を固めたいです。CCA-470 CCA-410 CCD-470 CCD-410 CCB-400認定試験はClouderaの中に重要な認証試験の一つですが、IT-Passports.comにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってCloudera CCA-470 CCA-410 CCD-470 CCD-410 CCB-400認証試験に参加する方に対して問題集を研究続けています。


ClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400認定試験はIT職員が欠くことができない認証です。IT職員のキャリアと関連しますから。 ClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400試験トレーニング資料は受験生の皆さんが必要とした勉強資料です。IT-Passports.comのトレーニング資料は受験生が一番ほしい唯一なトレーニング資料です。IT-Passports.comのClouderaのCCA-470 CCA-410 CCD-470 CCD-410 CCB-400試験トレーニング資料を手に入れたら、試験に合格することができるようになります。


人間ができるというのは、できることを信じるからです。IT-Passports.comは IT職員を助けられるのは職員の能力を証明することができるからです。IT-Passports.comのClouderaCCA-470 CCA-410 CCD-470 CCD-410 CCB-400試験はあなたが成功することを助けるトレーニング資料です。ClouderaCCA-470 CCA-410 CCD-470 CCD-410 CCB-400認定試験に受かりたいのなら、IT-Passports.com を選んでください。時には、成功と失敗の距離は非常に短いです。前へ何歩進んだら成功できます。あなたはどうしますか。前へ進みたくないですか。IT-Passports.comは成功の扉ですから、 IT-Passports.comを利用してください。


試験番号:CCA-470問題集

試験科目:Cloudera 「Cloudera Certified Administrator for Apache Hadoop CDH4 Upgrade Exam (CCAH)」

問題と解答:全87問

試験番号:CCA-410問題集

試験科目:Cloudera 「Cloudera Certified Administrator for Apache Hadoop CDH4」

問題と解答:全60問

試験番号:CCD-470問題集

試験科目:Cloudera 「Cloudera Certified Developer for Apache Hadoop CDH4 Upgrade Exam (CCDH)」

問題と解答:全94問

試験番号:CCD-410問題集

試験科目:Cloudera 「Cloudera Certified Developer for Apache Hadoop (CCDH)」

問題と解答:全60問

試験番号:CCB-400問題集

試験科目:Cloudera 「Cloudera Certified Specialist in Apache HBase」

問題と解答:全45問

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.it-passports.com/CCD-410.html


NO.1 In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A. It depends on the number of reduces in the job.
B. Between 500 and 1000.
C. At most 500.
D. At least 500.
E. Exactly 500.
Answer: D

Cloudera認定資格   CCD-410参考書   CCD-410認定資格   CCD-410参考書

NO.2 Can you use MapReduce to perform a relational join on two large tables sharing a key?
Assume
that the two tables are formatted as comma-separated files in HDFS.
A. Yes.
B. Yes, but only if one of the tables fits into memory
C. Yes, so long as both tables fit into memory.
D. No, MapReduce cannot perform relational operations.
E. No, but it can be done with either Pig or Hive.
Answer: A

Cloudera問題集   CCD-410   CCD-410過去問   CCD-410   CCD-410   CCD-410参考書

NO.3 Your cluster’s HDFS block size in 64MB. You have directory containing 100 plain text files, each
of
which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many
Mappers will run?
A. 64
B. 100
C. 200
D. 640
Answer: C

Cloudera   CCD-410認定証   CCD-410認証試験   CCD-410

NO.4 When is the earliest point at which the reduce method of a given Reducer can be called?
A. As soon as at least one mapper has finished processing its input split.
B. As soon as a mapper has emitted at least one record.
C. Not until all mappers have finished processing all records.
D. It depends on the InputFormat used for the job.
Answer: C

Cloudera認証試験   CCD-410認定試験   CCD-410認定資格   CCD-410過去問

NO.5 In a large MapReduce job with m mappers and n reducers, how many distinct copy operations
will
there be in the sort/shuffle phase?
A. mXn (i.e., m multiplied by n)
B. n
C. m
D. m+n (i.e., m plus n)
E. E.mn(i.e., m to the power of n)
Answer: A

Cloudera認定試験   CCD-410   CCD-410   CCD-410   CCD-410参考書

NO.6 You need to move a file titled “weblogs” into HDFS. When you try to copy the file, you can’t.
You
know you have ample space on your DataNodes. Which action should you take to relieve this
situation and store more files in HDFS?
A. Increase the block size on all current files in HDFS.
B. Increase the block size on your remaining files.
C. Decrease the block size on your remaining files.
D. Increase the amount of memory for the NameNode.
E. Increase the number of disks (or size) for the NameNode.
F. Decrease the block size on all current files in HDFS.
Answer: C

Cloudera問題集   CCD-410練習問題   CCD-410   CCD-410   CCD-410
10. Indentify which best defines a SequenceFile?
A. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable
objects
B. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable
objects
C. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable
objects, in sorted order.
D. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key
must be the same type. Each value must be the same type.
Answer: D

Cloudera練習問題   CCD-410   CCD-410練習問題   CCD-410認定試験   CCD-410問題集

NO.7 MapReduce v2 (MRv2 /YARN) splits which major functions of the JobTracker into separate
daemons? Select two.
A. Heath states checks (heartbeats)
B. Resource management
C. Job scheduling/monitoring
D. Job coordination between the ResourceManager and NodeManager
E. Launching tasks
F. Managing file system metadata
G. MapReduce metric reporting
H. Managing tasks
Answer: B,D

Cloudera   CCD-410参考書   CCD-410   CCD-410認証試験

NO.8 For each intermediate key, each reducer task can emit:
A. As many final key-value pairs as desired. There are no restrictions on the types of those keyvalue
pairs (i.e., they can be heterogeneous).
B. As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
C. As many final key-value pairs as desired, as long as all the keys have the same type and all the
values have the same type.
D. One final key-value pair per value associated with the key; no restrictions on the type.
E. One final key-value pair per key; no restrictions on the type.
Answer: E

Cloudera   CCD-410   CCD-410認定証   CCD-410

NO.9 Which process describes the lifecycle of a Mapper?
A. The JobTracker calls the TaskTracker’s configure () method, then its map () method and finally
its close () method.
B. The TaskTracker spawns a new Mapper to process all records in a single input split.
C. The TaskTracker spawns a new Mapper to process each key-value pair.
D. The JobTracker spawns a new Mapper to process all records in a single file.
Answer: C

Cloudera   CCD-410参考書   CCD-410認定証   CCD-410   CCD-410過去問

没有评论:

发表评论