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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Apache Hive | - HiveQL Query Language
|
| Topic 2: Data Processing and Integration | - Hadoop data formats
|
| Topic 3: Apache Pig | - Pig execution model
|
| Topic 4: Hadoop Ecosystem Fundamentals | - HDFS Architecture and Data Storage Concepts
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
In a MapReduce job, the reducer receives all values associated with same key. Which statement best describes the ordering of these values?
- A. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.
- B. The values are in sorted order.
- C. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.
- D. Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.
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You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.
- A. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
- B. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
- C. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
- D. There is no difference in output between the two settings.
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Review the following 'data' file and Pig code.
Which one of the following statements is true?
- A. The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
- B. The code executes successfully but there is not output because the D relation is empty
- C. The output of the dump d command is (M, {(38,95in),(62,95i02)})
- D. The code does not execute successfully because D is not a valid relation
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 DistributedCache and read the data into memory in the map method of the mapper.
- C. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
- D. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
Which best describes how TextInputFormat processes input files and line breaks?
- A. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
- B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
- C. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
- D. Input file splits may cross line breaks. A line that crosses file splits is ignored.
- E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
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