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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Transformation with Pig | - Pig Latin programming
|
| Data Analysis with Hive | - Hive query development
|
| Data Ingestion | - Import data into Hadoop
|
| Data Processing | - End-to-end Hadoop workflows
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. In a MapReduce job, you want each of your input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?
A) Write a custom FileInputFormat and override the method isSplitable to always return false.
B) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
C) Set the number of mappers equal to the number of input files you want to process.
D) Increase the parameter that controls minimum split size in the job configuration.
2. Which of the following tool was designed to import data from a relational database into HDFS?
A) Ambari
B) HCatalog
C) Sqoop
D) Flume
3. 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) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
C) Never. Combiners and reducers must be implemented separately because they serve different purposes.
D) 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.
E) When the signature of the reduce method matches the signature of the combine method.
4. Given the following Hive command:
Which one of the following statements is true?
A) The files in the mydata folder do not move from their current location In HDFS
B) The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
C) The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
D) The files in the mydata folder are copied into Hive's underlying relational database
5. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.
A) No, MapReduce cannot perform relational operations.
B) Yes, so long as both tables fit into memory.
C) No, but it can be done with either Pig or Hive.
D) Yes.
E) Yes, but only if one of the tables fits into memory
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: D |
