최신Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer - Apache-Hadoop-Developer무료샘플문제

A. The SAMPLE command generates an "unexpected symbol" error

B. Each MapReduce task will terminate after executing for 0.2 minutes

C. A random sample of approximately 20% of the data will be output

D. The reducers will only output the first 20% of the data passed from the mappers

A. Yes.

B. Yes, but only if one of the tables fits into memory

C. No, but it can be done with either Pig or Hive.

D. Yes, so long as both tables fit into memory.

E. No, MapReduce cannot perform relational operations.

A. Algorithms that require global, sharing states.

B. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).

C. Relational operations on large amounts of structured and semi-structured data.

D. Algorithms that require applying the same mathematical function to large numbers of individual binary records.

E. Large-scale graph algorithms that require one-step link traversal.

A. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.

B. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.

C. Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.

D. The values are in sorted order.

A. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.

B. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.

C. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.

D. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.

A. mapred

B. Flume

C. Oozie

D. Sqoop

E. Hadoop Streaming

A. Flume

B. Ambari

C. Sqoop

D. HCatalog

A. NameSpaceManager

B. Metanode

C. DataNode

D. NameNode

A. Operates on multiple input rows and creates a single row as output

B. Operates on a single input row and produces a single row as output

C. Operates on a single input row and produces a table as output

D. Operates on multiple input rows and produces a table as output

A. Between 500 and 1000.

B. At least 500.

C. Exactly 500.

D. At most 500.

E. It depends on the number of reduces in the job.