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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion | 25% | - Ingest streaming data with Flume - Load data into HDFS from external sources - Import/export data using Sqoop |
| Apache Hive Development | 25% | - Create and manage Hive tables, partitions, and buckets - Write and optimize HiveQL queries - Use Hive functions, views, and metastore |
| Apache Pig Development | 30% | - Data transformation, filtering, joining, and aggregation - Debug and tune Pig jobs - Write and optimize Pig Latin scripts |
| Hadoop Fundamentals & Architecture | 20% | - MapReduce concepts and job lifecycle - YARN architecture and job execution - HDFS operations and file management |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Question 1
Review the following data and Pig code:
What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on B?
A. B = JOIN A BY (gender = = 'M' AND zip = = '95102');
B. B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
C. B = FILTER A BY (zip = = '95102' AND gender = = M");
D. B= GROUP A BY (zip = = '95102' AND gender = = 'M');
Question 2
For each intermediate key, each reducer task can emit:
A. As many final key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
B. One final key-value pair per key; no restrictions on the type.
C. One final key-value pair per value associated with the key; no restrictions on the type.
D. As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.
E. As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
Question 3
Assuming default settings, which best describes the order of data provided to a reducer's reduce method:
A. Both the keys and values passed to a reducer always appear in sorted order.
B. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
C. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
D. Neither keys nor values are in any predictable order.
Question 4
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?
A. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
B. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
C. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
D. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
Question 5
Given a directory of files with the following structure: line number, tab character, string:
Example:
1abialkjfjkaoasdfjksdlkjhqweroij
2kadfjhuwqounahagtnbvaswslmnbfgy
3kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete the line: conf.setInputFormat (____.class) ; ?
A. KeyValueFileInputFormat
B. SequenceFileAsTextInputFormat
C. SequenceFileInputFormat
D. BDBInputFormat
Solutions:
| Question 1 Answer: C | Question 2 Answer: E | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: A |




