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

1. 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) JobTracker
B) Secondary NameNode
C) TaskTracker
D) DataNode
E) NameNode

2. Which one of the following statements describes the relationship between the ResourceManager and the
ApplicationMaster?

A) The ApplicationMaster requests resources from the ResourceManager
B) The ApplicationMaster starts an instance of the ResourceManager within each Container
C) The ApplicationMaster starts a single instance of the ResourceManager
D) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster

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

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

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

5. Determine which best describes when the reduce method is first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The programmer can configure in the job what percentage of the intermediate data should arrive before
the reduce method begins.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called as soon as the intermediate key-value pairs start to arrive.
C) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed.
The reduce method is called only after all intermediate data has been copied and sorted.
D) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal
performance for map-only or reduce-only jobs.

Solutions: