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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. You want to perform analysis on a large collection of images. You want to store this data in HDFS and process it with MapReduce but you also want to give your data analysts and data scientists the ability to process the data directly from HDFS with an interpreted high-level programming language like Python. Which format should you use to store this data in HDFS?

A) Avro
B) CSV
C) XML
D) HTML
E) JSON
F) SequenceFiles

2. Which HDFS command uploads a local file X into an existing HDFS directory Y?

A) hadoop scp X Y
B) hadoop fs -get X Y
C) hadoop fs-put X Y
D) hadoop fs -localPut X Y

3. Which one of the following classes would a Pig command use to store data in a table defined in HCatalog?

A) No special class is needed for a Pig script to store data in an HCatalog table
B) org.apache.hcatalog.pig.HCatStorer
C) Pig scripts cannot use an HCatalog table
D) org.apache.hcatalog.pig.HCatOutputFormat

4. You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:

A) You will have forty-eight failed task attempts
B) You will have twenty failed task attempts
C) You will have seventeen failed task attempts
D) You will have five failed task attempts
E) You will have twelve failed task attempts

5. Analyze each scenario below and indentify which best describes the behavior of the default partitioner?

A) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key-value pair.
B) The default partitioner assigns key-values pairs to reduces based on an internal random number generator.
C) The default partitioner computes the hash of the key and divides that valule modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
D) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
E) The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer in turn. This ensures an event partition of the key space.

Solutions: