Prepare Yourself With These Big Data Interview Questions

Are you planning to prepare yourself for Big Data interviews and become a successful Big Data Expert? You have landed on the right page. This article talks about the top interview questions so that you can mentally prepare answers for them.

Excited? So let’s get started.

Table of Contents 

  • The Era of Big Data 
  • Top Big Data Questions You Should be Prepared for 
  • Concluding Lines: How to Learn and Become a Certified Big Data Expert 

The Era of Big Data 

The era of Big data has just begun. Tech giants such as Amazon, American Express, Netflix, and others are using Big Data for automating processes, gaining insight into their target market, and improving their overall performance. Even businesses are integrating big data to boost their brand success.

If you want to get employed in any of the big data positions, it is crucial to learn and gain in-depth knowledge of Hadoop, MapReduce, Yarn, Pig, Hive, Spark, and much more. In order to prepare yourself, we are listing the top 10 Big Data interview questions that will surely help in cracking tough interviews.

Top Big Data Questions You Should be Prepared for 

What is Big Data? Why does it matter? What are its four Vs?

Big data is a term that defines the large volume of data and also enables tech giants and enterprises to make better business decisions backed by data.

Big data matters because it helps tech giants and enterprises in creating a whole new customer value proposition. With the help of accurate data, organizations are ready to deliver better services to their prestigious customers.

The four Vs of Big Data are Volume that represents the amount of data, Variety which talks about the different formats of data; velocity represents the ever-increasing speed at which the data is increasing; and Veracity that indicates the degree of accuracy of data.

Mention some Hadoop tools for the effective operation of Big Data.

Ambari, Hive, HBase, HDFS, Sqoop, Pig, ZooKeeper, NoSQL, Mahout, Avro, Oozie, Flume, GIS Tools, Clouds, and many others are useful for the effective working of Big Data.

How do you deploy a Big Data solution?

To deploy a Big Data solution, we need to perform three steps:

  • Data Ingestion – The first step is to collect data from multiple sources, where data can either be extracted through real-time streaming or in batch jobs.
  • Data Storage – After data extraction, data should be stored in a database. The HDFS storage works good for sequential access, whereas the HBase database for random read/write access.
  • Data Processing – Once data is extracted and stored in a database, it’s time for data processing. Processing frameworks such as Hadoop, Spark, MapReduce, and many others can be used.

In which mode, Hadoop generally works?

Hadoop works in three different Modes:

  • Standalone Mode.
  • Pseudo-distributed Mode.
  • Fully-Distributed Mode.

Distinguish between NFS and HDFS

Store and process a small amount of data.Designed to store and process Big Data.
Stores data in dedicated hardware.HDFS distribute blocks across all the machines in a Hadoop cluster
If system failure occurs, data cannot be accessed.Data can be accessed even if system failure takes place.
No chance for data redundancy.May lead to data redundancy.

How can multiple clients write into an HDFS file simultaneously and concurrently?

The answer to this is no; it is not possible for multiple clients to write into an HDFS file at the same time. This is because HDFS NameNode supports exclusive write-only. Therefore, only the first user will receive the grant for accessing files, and the second user will be denied.

Concluding Lines: How to Learn and Become a Certified Big Data Expert 

Becoming a Big Data Expert has been easy now. All thanks to online platforms that offer online training and Big Data Expert training courses.

Global tech Council, a globally renowned online platform, offers Big Data Expert Certification that focuses on the core concepts of Big Data Analytics, including Hadoop, MapReduce, Yarn, Pig, Hive, Spark, and much more. With this certification, you can gain and prove your competitive edge in interviews, ramp up your career growth, and improve your chances to get highly paid.

So are you ready to open the world of excellent career opportunities in the Big Data domain? If yes, why wait? Get enrolled in the big data Hadoop certification and become a Certified Big Data Expert.