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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

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 RecordReaders of both splits containing 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 end of the broken line.
D) 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.
E) Input file splits may cross line breaks. A line that crosses file splits is ignored.

2. What data does a Reducer reduce method process?

A) All the data in a single input file.
B) All data produced by a single mapper.
C) All data for a given key, regardless of which mapper(s) produced it.
D) All data for a given value, regardless of which mapper(s) produced it.

3. MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
daemons? Select two.

A) Heath states checks (heartbeats)
B) Managing file system metadata
C) Resource management
D) Managing tasks
E) Job scheduling/monitoring
F) Launching tasks
G) MapReduce metric reporting
H) Job coordination between the ResourceManager and NodeManager

4. You want to understand more about how users browse your public website, such as which pages they visit prior to placing an order. You have a farm of 200 web servers hosting your website. How will you gather this data for your analysis?

A) Write a MapReduce job, with the web servers for mappers, and the Hadoop cluster nodes for reduces.
B) Channel these clickstreams inot Hadoop using Hadoop Streaming.
C) Ingest the server web logs into HDFS using Flume.
D) Sample the weblogs from the web servers, copying them into Hadoop using curl.
E) Import all users' clicks from your OLTP databases into Hadoop, using Sqoop.

5. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
B) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
C) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
D) When the signature of the reduce method matches the signature of the combine method.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.

Solutions: