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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Transformation with Pig | - Pig Latin programming
|
| Topic 2: Data Processing | - End-to-end Hadoop workflows
|
| Topic 3: Data Ingestion | - Import data into Hadoop
|
| Topic 4: Data Analysis with Hive | - Hive query development
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
All keys used for intermediate output from mappers must:
- A. Implement a splittable compression algorithm.
- B. Implement WritableComparable.
- C. Implement a comparator for speedy sorting.
- D. Be a subclass of FileInputFormat.
- E. Override isSplitable.
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For each input key-value pair, mappers can emit:
- A. One intermediate key-value pair, of a different type.
- B. 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.
- C. One intermediate key-value pair, but of the same type.
- D. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
- E. 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).
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Which of the following tool was designed to import data from a relational database into HDFS?
- A. Flume
- B. HCatalog
- C. Sqoop
- D. Ambari
You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?
- A. hadoop setproperty mapred.job.name=Example MyDriver input output
- B. hadoop setproperty ("mapred.job.name=Example") MyDriver input output
- C. hadoop MyDriver mapred.job.name=Example input output
- D. hadoop MyDrive -D mapred.job.name=Example input output
- E. hadoop "mapred.job.name=Example" MyDriver input output
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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.
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