And this article covers the most important Apache Spark Interview questions that you might face in a Spark interview. The Spark interview questions have been segregated into different sections based on the various components of Apache Spark and surely after going through this article you will be able to answer most of the questions asked in your next Spark interview.
There you go, this was the collection of some of the most commonly asked, conceptual, and some theoretical Apache Spark interview questions that you might come across while attending an interview for a Spark-related interview.
READ BOOK Hadoop BIG DATA Interview Questions You'll Most Likely Be Asked (Job Interview Questions 1
Your answer should include NumPy as it is utilized for efficient processing of arrays of numbers and pandas, which is great for statistics and data preparation for machine learning work. The interviewer can ask you questions like why would you use these libraries and list some examples where you would not use them.
Interviewers can ask this question to test your SQL knowledge and how invested you are in this interview process as they would expect you to ask questions in return. You can ask them what kind of data they are working with and what values would likely be duplicated?
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Azure Data Factory is a cloud-based Microsoft tool that collects raw business data and further transforms it into usable information. It is a data integration ETL (extract, transform, and load) service that automates the transformation of the given raw data. This Azure Data Factory Interview Questions blog includes the most-probable questions asked during Azure job interviews. Following are the questions that you must prepare for:
Deep Learning is a part of machine learning that works with neural networks. It involves a hierarchical structure of networks that set up a process to help machines learn the human logic behind any action. We have compiled a list of the frequently asked deep learning interview questions to help you prepare.
When large error gradients accumulate and result in large changes in the neural network weights during training, it is called the exploding gradient problem. The values of weights can become so large as to overflow and result in NaN values. This makes the model unstable and the learning of the model to stall just like the vanishing gradient problem. This is one of the most commonly asked interview questions on machine learning.
We know what the companies are looking for, and with that in mind, we have prepared the set of Machine Learning interview questions an experienced professional may be asked. So, prepare accordingly if you wish to ace the interview in one go.
Big Data interviews can take place in general lines or concentrate on a specific system or method. This article will focus on the Big Data tool- Apache Hive- frequently used. You get a detailed understanding of questions asked in Big Data interviews by employers connected with Apache Hive after going through this Apache Hive interview questions article.
Hadoop is an open-source framework designed to facilitate the storing and processing of large volumes of data. Hive is a data warehouse tool that works in the Hadoop ecosystem to process and summarize the data, making it easier to use. Now that you know what Hive is in the Hadoop ecosystem read on to find out the most common Hive interview questions.
Hive-related questions are most often an integral part of any Data Science related interview. Being prepared to answer the same with confidence helps you build a good image in the eyes of the interviewer and also chart out a successful career. The following Hive Interview Questions have been specifically curated to help you get acquainted with the nature of questions you might have to answer in the interview. If you are a beginner, the interviewer will be looking out to check how strong your foundation is and might ask you questions related to basic concepts. As your experience increases, so will the difficulty level of the questions, with them becoming more technical and application-oriented.
The above-listed Hive interview questions and answers cover most of the important topics under Hive, but this is in no way an exhaustive list. If you are interested in making it big in the world of data and evolving as a Future Leader, you may consider our Integrated Program In Business Analytics, a 10-month online program in collaboration with IIM Indore!
Asking questions related to the Hadoop technology implementation, shows your interest in the open hadoop job role and also conveys your interest in working with the company.Just like any other interview, even hadoop interviews are a two-way street- it helps the interviewer decide whether you have the desired hadoop skills they in are looking for in a hadoop developer, and helps an interviewee decide if that is the kind of big data infrastructure and hadoop technology implementation you want to devote your skills for foreseeable future growth in the big data domain.
So, you have cleared the technical interview after preparing thoroughly with the help of the Hadoop Interview Questions shared by ProjectPro. After an in-depth technical interview, the interviewer might still not be satisfied and would like to test your practical experience in navigating and analysing big data. The expectation of the interviewer is to judge whether you are really interested in the open position and ready to work with the company, regardless of the technical knowledge you have on hadoop technology.
There are quite a few on-going debates in the hadoop community, on the advantages of the various components in the hadoop ecosystem-- for example what is better MapReduce, Pig or Hive or Spark vs. Hadoop or when should a company use MapReduce over other alternative? etc. Interviewee and Interviewer should both be ready to answer such hadoop interview FAQs, as there is no right or wrong answer to these questions.The best possible way to answer these Hadoop interview FAQs is to explain why a particular interviewee favours an option. Answering these hadoop interview FAQs with practical examples as to why the candidate favours an option, demonstrates his or her understanding of the business needs and helps the interviewer judge the flexibility of the candidate to use various big data tools in the hadoop ecosystem.
Your answer to these interview questions will help the interviewer understand your expertise in Hadoop based on the size of the hadoop cluster and number of nodes. Based on the highest volume of data you have handled in your previous projects, interviewer can assess your overall experience in debugging and troubleshooting issues involving huge hadoop clusters.
The number of tools you have worked with help an interviewer judge that you are aware of the overall hadoop ecosystem and not just MapReduce. To be selected, it all depends on how well you communicate the answers to all these questions.
You are likely to be involved in one or more phases when working with big data in a hadoop environment. The answer to this question helps the interviewer understand what kind of tools you are familiar with.If you answer that your focus was mainly on data ingestion then they can expect you to be well-versed with Sqoop and Flume, if you answer that you were involved in data analysis and data transformation then it gives the interviewer an impression that you have expertise in using Pig and Hive.
With more than 30,000 open Hadoop developer jobs, professionals must familiarize themselves with each and every component of the Hadoop ecosystem to make sure that they have a deep understanding of what Hadoop is so that they can form an effective approach to a given big data problem. To help you get started, ProjectPro presented a comprehensive list of Top 50 Hadoop Developer Interview Questions asked during recent Hadoop job interviews. In case you are appearing for a Hadoop administrator interview, we've got you covered with your hadoop admin job interview preparation, check out these top Hadoop admin interview questions and answers.
This blog covers some of the frequently asked Apache Sqoop interview questions that could be asked in data science and big data developer interviews. Using these interview questions as a reference, you can better understand the concept of Apache Sqoop and start formulating effective answers for upcoming interviews. The key takeaways from this Sqoop blog are:-
One important part of Interview Questions For A Technical Program Manager is to prepare well for behavioral interview questions. In my opinion, this is the easier part of the interview. All you need to do is have 5 to 8 different stories/projects ready which you can use for various questions. Common questions include;-
Finally one of the most important aspects, in every interview either on the phone or on-site you will be given a chance to ask questions. This is very important, it shows the interviewer how well you are prepared and also puts forward things that you care about.
The technical questions in a data architect interview concentrate on your work with certain programming languages, tools, and technologies, and your ability to use them to fulfill project goals or solve unforeseen issues.
Usually, the process starts with 2 phone interviews that revolve around more general background and professional experience questions - one with a recruiter, and then another one with the hiring manager. The phone screens are followed by two onsite interviews. The first one is with 3-4 people from the data architect team. So, you can expect plenty of database systems, software design patterns, virtual warehousing, and some programming questions. The interviewers will also ask you to analyze a hypothetical problem and enumerate various possible data architecture solutions. In the second interview, you will meet higher-level executives which means some behavioral and situational questions will come your way. 2ff7e9595c
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