Learn Hadoop Basics Multiple Choice Questions and Answers with explanations. Practice Hadoop Basics MCQs Online Quiz Mock Test For Objective Interview.
1. Point out the wrong statement :
- A. Hardtop's processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data
- B. Hadoop uses a programming model called MapReduce", all the programs should confirms to this model in order to work on Hadoop platform
- C. The programming model, MapReduce, used by Hadoop is difficult to write and test
- D. All of the mentioned
Answer: Option C
Explanation:
The programming model, MapReduce, used by Hadoop is simple to write and test.
2. What was Hadoop named after?
- A. Creator Doug Cutting's favorite circus act
- B. Cutting's high school rock band
- C. The toy elephant of Cutting's son
- D. A sound Cutting's laptop made during Hadoop's development
Answer: Option C
Explanation:
Doug Cutting, Hadoop's creator, named the framework after his child's stuffed toy elephant.
3. All of the following accurately describe Hadoop, EXCEPT:
- A. Open source
- B. Real-time
- C. Java-based
- D. Distributed computing approach
Answer: Option B
Explanation:
Apache Hadoop is an open-source software framework for distributed storage and distributed processing of Big Data on clusters of commodity hardware.
4. Point out the wrong statement :
- A. Elastic MapReduce (EMR) is Facebook's packaged Hadoop offering
- B. Amazon Web Service Elastic MapReduce (EMR) is Amazon's packaged Hadoop offering
- C. Scalding is a Scala API on top of Cascading that removes most Java boilerplate
- D. All of the mentioned
Answer: Option A
Explanation:
Rather than building Hadoop deployments manually on EC2 (Elastic Compute Cloud) clusters, users can spin up fully configured Hadoop installations using simple invocation commands, either through the AWS Web Console or through command-line tools.
5. ________ is the most popular high-level Java API in Hadoop Ecosystem
- A. Scalding
- B. HCatalog
- C. Cascalog
- D. Cascading
Answer: Option D
Explanation:
Cascading hides many of the complexities of MapReduce programming behind more intuitive pipes and data flow abstractions.
