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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Processing and Integration | - Hadoop data formats
|
| Topic 2: Apache Pig | - Pig Latin Programming
|
| Topic 3: Hadoop Ecosystem Fundamentals | - YARN and Resource Management
|
| Topic 4: Apache Hive | - Hive architecture
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?
A) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
B) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
C) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
D) No, because the Reducer and Combiner are separate interfaces.
E) Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
2. Which HDFS command displays the contents of the file x in the user's HDFS home directory?
A) hadoop fs -Is x
B) hadoop fs -cat x
C) hdfs fs -get x
D) hadoop fs -cp x
3. Given the following Pig commands:
Which one of the following statements is true?
A) The severe relation is not valid
B) The $1 variable represents the first column of data in 'my.log'
C) The $1 variable represents the second column of data in 'my.log'
D) The grouped relation is not valid
4. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?
A) They would see no content until the whole file written and closed.
B) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
C) They would see the current state of the file, up to the last bit written by the command.
D) They would see the current of the file through the last completed block.
5. Examine the following Hive statements:
Assuming the statements above execute successfully, which one of the following statements is true?
A) The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
B) The contents of File1 are parsed as comma-delimited rows and stored in a database
C) Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
D) The file named File1 is moved to to/user/joe/x/
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
