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HDPCD 実際試験 - HDPCD 日本語版と英語版

 

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HDPCD試験番号:HDPCD問題集
試験科目:Hortonworks Data Platform Certified Developer
最近更新時間:2017-03-01
問題と解答:全110問 HDPCD 問題集無料
100%の返金保証。1年間の無料アップデート。

>> HDPCD 問題集無料

 

NO.1 Which one of the following statements describes the relationship between the NodeManager
and the ApplicationMaster?
A. The NodeManager requests resources from the ApplicationMaster
B. The ApplicationMaster starts the NodeManager in a Container
C. The ApplicationMaster starts the NodeManager outside of a Container
D. The NodeManager creates an instance of the ApplicationMaster
Answer: D

HDPCD 短期   

NO.2 Which one of the following classes would a Pig command use to store data in a table defined in
HCatalog?
A. org.apache.hcatalog.pig.HCatOutputFormat
B. No special class is needed for a Pig script to store data in an HCatalog table
C. Pig scripts cannot use an HCatalog table
D. org.apache.hcatalog.pig.HCatStorer
Answer: D

HDPCD 認定   HDPCD 教本   

NO.3 For each input key-value pair, mappers can emit:
A. One intermediate key-value pair, of a different type.
B. As many intermediate key-value pairs as designed, but they cannot be of the same type as the
input key-value pair.
C. As many intermediate key-value pairs as designed. There are no restrictions on the types of those
key-value pairs (i.e., they can be heterogeneous).
D. One intermediate key-value pair, but of the same type.
E. As many intermediate key-value pairs as designed, as long as all the keys have the same types and
all the values have the same type.
Answer: E

HDPCD 関節   HDPCD 出題   
Explanation:
Mapper maps input key/value pairs to a set of intermediate key/value pairs.
Maps are the individual tasks that transform input records into intermediate records. The
transformed intermediate records do not need to be of the same type as the input records. A given
input pair may map to zero or many output pairs.
Reference: Hadoop Map-Reduce Tutorial

NO.4 You have just executed a MapReduce job.
Where is intermediate data written to after being emitted from the Mapper's map method?
A. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are
written into HDFS.
B. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker
node running the Reducer
C. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are
written into HDFS.
D. Intermediate data in streamed across the network from Mapper to the Reduce and is never
written to disk.
E. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.
Answer: E
Explanation:
The mapper output (intermediate data) is stored on the Local file system (NOT HDFS) of each
individual mapper nodes. This is typically a temporary directory location which can be setup in config
by the hadoop administrator. The intermediate data is cleaned up after the Hadoop Job completes.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, Where is the
Mapper Output (intermediate kay-value data) stored ?

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