Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?
A) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
B) 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.
C) When the signature of the reduce method matches the signature of the combine method.
D) Never. Combiners and reducers must be implemented separately because they serve different purposes.
E) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
2. 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) Processor and disk I/O
B) Disk I/O and network I/O
C) Processor and RAM
D) Processor and network I/O
3. Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
A) Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
B) The contents of File1 are parsed as comma-delimited rows and stored in a database
C) The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
D) The file named File1 is moved to to/user/joe/x/
4. Consider the following two relations, A and B.
Which Pig statement combines A by its first field and B by its second field?
A) C = JOIN A a1, B b2;
B) C = JOIN A SO, B $1;
C) C = JOIN A by al, B by b2;
D) C = DOIN B BY a1, A by b2;
5. On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?
A) The amount of RAM installed on the TaskTracker node.
B) The average system load on the TaskTracker node over the past fifteen (15) minutes.
C) The location of the InsputSplit to be processed in relation to the location of the node.
D) The number and speed of CPU cores on the TaskTracker node.
E) The amount of free disk space on the TaskTracker node.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: C |
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