What are the interview questions for Hadoop developer?

Hadoop MapReduce Interview Questions

• What is “MapReduce”?
• What are the main configuration parameters in a “MapReduce” program?
• State the reason why we can’t perform “aggregation” (addition) in mapper?
• What is the purpose of “RecordReader” in Hadoop?
• Explain “Distributed Cache” in a “MapReduce Framework”.

What are the 4 main components of the Hadoop architecture?

Following are the components that collectively form a Hadoop ecosystem:

• HDFS: Hadoop Distributed File System.
• YARN: Yet Another Resource Negotiator.
• MapReduce: Programming based Data Processing.
• Spark: In-Memory data processing.
• PIG, HIVE: Query based processing of data services.
• HBase: NoSQL Database.

Which package provides the basic types of Hadoop?

Hadoop consists of the Hadoop Common package, which provides file system and operating system level abstractions, a MapReduce engine (either MapReduce/MR1 or YARN/MR2) and the Hadoop Distributed File System (HDFS). The Hadoop Common package contains the Java Archive (JAR) files and scripts needed to start Hadoop.

What are questions asked in an interview?

Interview. An interview is a conversation where questions are asked and answers are given. In common parlance, the word “interview” refers to a one-on-one conversation between an interviewer and an interviewee. The interviewer asks questions to which the interviewee responds, usually so information may be transferred from interviewee…

What is the star method of answering interview questions?

The STAR interview response technique is a method for answering behavioral interview questions. Behavioral interview questions are questions about how you have behaved in the past. Specifically, they are about how you have handled certain work situations.

What is an example of Hadoop?

Examples of Hadoop. Here are five examples of Hadoop use cases: Financial services companies use analytics to assess risk, build investment models, and create trading algorithms; Hadoop has been used to help build and run those applications.

What is Hadoop training?

Hadoop Training is a framework that makes it accessible to process large sets of data that reside in clusters of computers. Because it is a framework, Hadoop is made up of four core modules that are supported by a large ecosystem of supporting technologies and products.