이 글을 보시게 된다면Cloudera인증 CCD-410시험패스를 꿈꾸고 있는 분이라고 믿습니다. Cloudera인증 CCD-410시험공부를 아직 시작하지 않으셨다면 망설이지 마시고ITExamDump의Cloudera인증 CCD-410덤프를 마련하여 공부를 시작해 보세요. 이렇게 착한 가격에 이정도 품질의 덤프자료는 찾기 힘들것입니다. ITExamDump의Cloudera인증 CCD-410덤프는 고객님께서 Cloudera인증 CCD-410시험을 패스하는 필수품입니다.
ITExamDump의 Cloudera인증 CCD-410덤프는 최근 유행인 PDF버전과 소프트웨어버전 두가지 버전으로 제공됩니다.PDF버전을 먼저 공부하고 소프트웨어번으로 PDF버전의 내용을 얼마나 기억하였는지 테스트할수 있습니다. 두 버전을 모두 구입하시면 시험에서 고득점으로 패스가능합니다.
ITExamDump의 제품들은 모두 우리만의 거대한IT업계엘리트들로 이루어진 그룹 즉 관련업계예서 권위가 있는 전문가들이 자기만의 지식과 지금까지의 경험으로 최고의 IT인증관련자료를 만들어냅니다. ITExamDump의 문제와 답은 정확도 적중률이 아주 높습니다. 우리의 덤프로 완벽한Cloudera인증CCD-410시험대비를 하시면 되겠습니다. 이렇게 어려운 시험은 우리Cloudera인증CCD-410덤프로 여러분의 고민과 꿈을 한방에 해결해드립니다.
시험 번호/코드: CCD-410
시험 이름: Cloudera (Cloudera Certified Developer for Apache Hadoop (CCDH))
당신이 구입하기 전에 시도
일년동안 무료 업데이트
100% 환불보장약속
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Q&A: 60 문항
업데이트: 2014-04-01
많은 사이트에서Cloudera 인증CCD-410 인증시험대비자료를 제공하고 있습니다. 그중에서 ITExamDump를 선택한 분들은Cloudera 인증CCD-410시험통과의 지름길에 오른것과 같습니다. ITExamDump는 시험에서 불합격성적표를 받으시면 덤프비용을 환불하는 서
CCD-410 덤프무료샘플다운로드하기: http://www.itexamdump.com/CCD-410.html
NO.1 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
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NO.2 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
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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
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NO.3 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
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NO.4 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
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NO.5 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 CCD-410 CCD-410 CCD-410
NO.6 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
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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
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NO.8 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 CCD-410자료
NO.9 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
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