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1. Which best describes how TextInputFormat processes input files and line breaks?

A) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
B) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
C) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
E) Input file splits may cross line breaks. A line that crosses file splits is ignored.

2. Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

A) NodeManager
B) ApplicationMasterService
C) JobTracker
D) ResourceManager
E) TaskTracker
F) ApplicationMaster

3. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Large-scale graph algorithms that require one-step link traversal.
B) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
C) Algorithms that require applying the same mathematical function to large numbers of individual binary records.
D) Relational operations on large amounts of structured and semi-structured data.
E) Algorithms that require global, sharing states.

4. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

A) Hue
B) Pig
C) Flume
D) HBase
E) Oozie
F) Sqoop
G) Hive

5. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Resource pressure on the JobTracker.
B) HDFS latency.
C) Standardize on a single MapReduce API.
D) Single point of failure in the NameNode.
E) Ability to run frameworks other than MapReduce, such as MPI.
F) Reduce complexity of the MapReduce APIs.

問題與答案：