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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion | - Import data into Hadoop
|
| Topic 2: Data Processing | - End-to-end Hadoop workflows
|
| Topic 3: Data Transformation with Pig | - Pig Latin programming
|
| Topic 4: Data Analysis with Hive | - Hive query development
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
1. What is a SequenceFile?
A) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
B) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
C) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
2. 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 arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.
B) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.
C) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.
D) The values are in sorted order.
3. A NameNode in Hadoop 2.0 manages ______________.
A) An arbitrary number of namespaces
B) A single namespace
C) No namespaces
D) Two namespaces: an active namespace and a backup namespace
4. All keys used for intermediate output from mappers must:
A) Be a subclass of FileInputFormat.
B) Override isSplitable.
C) Implement a comparator for speedy sorting.
D) Implement WritableComparable.
E) Implement a splittable compression algorithm.
5. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:
A) Runs on the same machine and shares the memory of the active NameNode.
B) Receives the same block reports as the active NameNode.
C) Processes all client requests and block reports from the appropriate DataNodes.
D) Communicates directly with the active NameNode to maintain the state of the active NameNode.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: B |
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