Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Hadoop Ecosystem Fundamentals | - YARN and Resource Management
|
| Topic 2: Data Processing and Integration | - Hadoop data formats
|
| Topic 3: Apache Hive | - HiveQL Query Language
|
| Topic 4: Apache Pig | - Pig execution model
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, IntWritable values. Which interface should your class implement?
A) Combiner <Text, IntWritable, Text, IntWritable>
B) Reducer <Text, IntWritable, Text, IntWritable>
C) Reducer <Text, Text, IntWritable, IntWritable>
D) Mapper <Text, IntWritable, Text, IntWritable>
E) Combiner <Text, Text, IntWritable, IntWritable>
2. For each intermediate key, each reducer task can emit:
A) 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.
B) One final key-value pair per value associated with the key; no restrictions on the type.
C) One final key-value pair per 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. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
3. You have the following key-value pairs as output from your Map task:
(the, 1) (fox, 1) (faster, 1) (than, 1) (the, 1) (dog, 1)
How many keys will be passed to the Reducer's reduce method?
A) Two
B) One
C) Three
D) Six
E) Four
F) Five
4. Which one of the following files is required in every Oozie Workflow application?
A) Oozie.xml
B) Config-default.xml
C) Workflow.xml
D) job.properties
5. 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) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
C) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
D) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: F | Question # 4 Answer: C | Question # 5 Answer: D |
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