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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion | 25% | - Ingest streaming data with Flume - Import/export data using Sqoop - Load data into HDFS from external sources |
| Topic 2: Hadoop Fundamentals & Architecture | 20% | - YARN architecture and job execution - HDFS operations and file management - MapReduce concepts and job lifecycle |
| Topic 3: Apache Pig Development | 30% | - Debug and tune Pig jobs - Write and optimize Pig Latin scripts - Data transformation, filtering, joining, and aggregation |
| Topic 4: Apache Hive Development | 25% | - Use Hive functions, views, and metastore - Write and optimize HiveQL queries - Create and manage Hive tables, partitions, and buckets |
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
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. BDBInputFormat
- B. SequenceFileInputFormat
- C. KeyValueFileInputFormat
- D. SequenceFileAsTextInputFormat
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Which process describes the lifecycle of a Mapper?
- A. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
- B. The TaskTracker spawns a new Mapper to process all records in a single input split.
- C. The JobTracker spawns a new Mapper to process all records in a single file.
- D. The TaskTracker spawns a new Mapper to process each key-value pair.
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
For each input key-value pair, mappers can emit:
- A. As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.
- B. As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
- C. One intermediate key-value pair, of a different type.
- D. One intermediate key-value pair, but of the same type.
- E. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Assuming default settings, which best describes the order of data provided to a reducer's reduce method:
- A. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
- B. Both the keys and values passed to a reducer always appear in sorted order.
- C. Neither keys nor values are in any predictable order.
- D. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Which HDFS command displays the contents of the file x in the user's HDFS home directory?
- A. hadoop fs -cat x
- B. hadoop fs -cp x
- C. hadoop fs -Is x
- D. hdfs fs -get x
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Bing 
Eudora 
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Virginia 
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