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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?

A) Sqoop
B) fuse-dfs
C) Hive
D) Pig
E) Oozie
F) Flume
G) Hue

2. 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) mn (i.e., m to the power of n)
B) mXn (i.e., m multiplied by n)
C) m
D) m+n (i.e., m plus n)
E) n

3. Which one of the following statements regarding the components of YARN is FALSE?

A) The ResourceManager monitors and restarts any failed Containers
B) A client application submits a YARW job to the ResourceManager
C) A Container executes a specific task as assigned by the ApplicationMaster
D) The ResourceManager is responsible for scheduling and allocating resources

4. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper
that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters.
For each one of these characters, you will emit the character as a key and an InputWritable as the value.
As this will produce proportionally more intermediate data than input data, which two resources should
you expect to be bottlenecks?

A) Disk I/O and network I/O
B) Processor and network I/O
C) Processor and RAM
D) Processor and disk I/O

5. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on
which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A) Secondary NameNode
B) NameNode
C) JobTracker
D) TaskTracker
E) DataNode

Solutions: