Software, tools, programming languages- all of them are as much important as the technologies we use. Don’t you think?
So, what Apache Hadoop is and what is it used for? Also, why it is so important to prepare for Apache Hadoop during your cloud computing and Big Data interviews?
Apache Hadoop is a collection of open-source software that provides a software framework for distributed storage and processing of big data using the MapReduce programming model. It was originally designed for computer clusters but has been used in Yahoo’s search web map and by social media sites like Facebook as well. And what about the cloud you may ask? Well, the cloud allows organizations to deploy Hadoop without acquiring hardware or specific setup expertise.
Hadoop adoption has become pretty widespread since 2013. You’d be shocked to know,50000 organizations of the entire world are using Hadoop currently.
So you can understand, if you know Hadoop well, that will be an added advantage to your CV. Isn’t it?
But first, you need to know what are the Hadoop questions you might get asked during the interview. This is why we picked up the top 20 questions for you which are more likely to asked by interviewers in 2020. Have a look!
1. What are the different vendor-specific distributions of Hadoop?
2. Name different Hadoop configuration files.
3. How many modes are there where Hadoop can run?
4. What are the differences between the regular file system and HDFS?
5. Why HDFS is fault-tolerant?
8. How can you restart NameNode and all the daemons in Hadoop?
9. Which command will help you find the status of blocks and FileSystem health?
10. What would happen if you store too many small files in a cluster on HDFS?
11. How do you copy data from the local system onto HDFS?
12. When do you use the dfsadmin -refreshNodes and rmadmin -refreshNodes commands?
13. Is there any way to change the replication of files on HDFS after they are already written to HDFS?
14. What is the distributed cache in MapReduce?
15. What role do RecordReader, Combiner, and Partitioner play in a MapReduce operation?
16. Why is MapReduce slower in processing data in comparison to other processing frameworks?
17. Name some Hadoop-specific data types that are used in a MapReduce program.
18. What are the major configuration parameters required in a MapReduce program?
19. What is the role of the OutputCommitter class in a MapReduce job?
20. How can you set the mappers and reducers for a MapReduce job?
Novelvista
SME
NOVELVISTA LEARNING SOLUTIONS PRIVATE LIMITED - an Accredited Training Organization (ATO), is a professional training certification provider, helping professionals across the industry to develop skills and expertise to get recognition and growth in the corporate world. We’re one of the leading training providers and gradually spreading our training facility amongst candidates based at different geographies.
We have gained recognition over the years in professional training certification in IT industry such as PRINCE2, DevOps, PMP, Six Sigma, ITIL and many other leading courses.
Enjoyed this blog? Share this with someone who’d find this useful
