Top 50 Apache Spark Interview Questions And Answers
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| Author | : Knowledge Powerhouse |
| Publisher | : |
| Total Pages | : 47 |
| Release | : 2017-03-18 |
| Genre | : |
| ISBN | : 9781520870540 |
Introduction: Top 50 Apache Spark Interview Questions & Answers Apache Spark is a highly popular trend in technology world. There is a growing demand for Data Engineer jobs with Apache Spark knowledge in IT Industry. This book contains technical interview questions that an interviewer asks for Apache Spark. Each question is accompanied with an answer so that you can prepare for job interview in short time. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Amazon, Netflix, Uber etc.Often, these questions and concepts are used in our daily work. There is a sample answer with each question. But try to answer these questions in your own words.After going through this book 2-3 times, you will be well prepared to face interview of Apache Spark topic for Data Engineer position. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Apache Spark Data Engineer interview questions. We have already compiled the list of most popular and latest Apache Spark Data Engineer Interview questions. Are there answers in this book? Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book? You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass try to go through the difficult questions. After going through this book 2-3 times, you will be well prepared to face Apache Spark Data Engineer interview in IT. What is the level of questions in this book? This book contains questions that are good for Software Engineer, Senior Software Engineer, Principal Engineer and Associate Architect level. What are the sample questions in this book? How will you minimize data transfer while working with Apache Spark? How does Spark Streaming work internally? What are the main features of Apache Spark? What is a Resilient Distribution Dataset in Apache Spark? What is a Transformation in Apache Spark? What are security options in Apache Spark? What are the two ways to create RDD in Spark? What are the main operations that can be done on a RDD in Apache Spark? What is a Shuffle operation in Spark? What are the operations that can cause a shuffle in Spark? What is purpose of Spark SQL? What is a DataFrame in Spark SQL? What is a Parquet file in Spark? What is the difference between Apache Spark and Apache Hadoop MapReduce? What are the main languages supported by Apache Spark? What is the use of SparkContext in Apache Spark? Do we need HDFS for running Spark application? What is Spark Streaming? What is a Pipeline in Apache Spark? How does Pipeline work in Apache Spark? What is the difference between Transformer and Estimator in Apache Spark? What are the different types of Cluster Managers in Apache Spark? What is the main use of MLib in Apache Spark? What is the Checkpointing in Apache Spark? What is an Accumulator in Apache Spark? What is a Broadcast variable in Apache Spark? What is Structured Streaming in Apache Spark? What is a Property Graph? What is Neighborhood Aggregation in Spark? What are different Persistence levels in Apache Spark? How will you select the storage level in Apache Spark? What are the options in Spark to create a Graph? What are the basic Graph operators in Spark? What is the partitioning approach used in GraphX of Apache Spark? http://www.knowledgepowerhouse.com
| Author | : Vishwanathan Narayanan |
| Publisher | : |
| Total Pages | : 96 |
| Release | : 2021-01-02 |
| Genre | : Computers |
| ISBN | : 9789389898323 |
A power-packed guide with solutions to crack a Big data Hadoop Interview KEY FEATURES •Get familiar with Big data concepts •Understand the working of Hadoop and its ecosystem. •Understand the working of HBase, Pig, Hive, Flume, Sqoop and Spark •Understand the capabilities of Big data including Hadoop and HDFS •Up and running with how to perform speedy data processing using Apache Spark DESCRIPTION This book prepares you for Big data interviews w.r.t. Hadoop system and its ecosystems such as HBase, Pig, Hive, Flume, Sqoop, and Spark. Over the last few years, there is a rise in demand for Big Data Scientists/Analysts throughout the globe. Data Analysis and Interpretation have become very important lately. The book covers many interview questions and the best possible ways to answer them. Along with the answers, you will come across real-world examples that will help you understand the concepts of Big Data. The book is divided into various sections to make it easy for you to remember and associate it with the questions asked. WHAT YOU WILL LEARN •Apache Pig interview questions and answers •HBase and Hive interview questions and answers •Apache Sqoop interview questions and answers •Apache Flume interview questions and answers •Apache Spark interview questions and answers WHO THIS BOOK IS FOR This book is for anyone interested in big data. It is also useful for all jobseekers and freshers who wants to drive their career in the field of Big Data and Data Processing. TABLE OF CONTENTS 1.Big data, Hadoop and HDFS interview questions 2.Apache PIG interview questions 3.Hive interview questions 4.Hbase interview questions 5.Apache Sqoop interview questions 6.Apache Flume interview questions 7.Apache Spark interview questions
| Author | : Bill Chambers |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 594 |
| Release | : 2018-02-08 |
| Genre | : Computers |
| ISBN | : 1491912294 |
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation
| Author | : Knowledge Powerhouse |
| Publisher | : |
| Total Pages | : 52 |
| Release | : 2017-01-27 |
| Genre | : |
| ISBN | : 9781520475479 |
Introduction: Top 50 Software Engineer Personal Interview Questions & Answers Software Engineer is one of the most popular technology jobs in the world. There is a growing demand for Software Engineer job in technology companies. This book contains Personal/HR interview questions that an interviewer asks for Software Engineer position. Each question is accompanied with an answer so that you can prepare for job interview in short time. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Airbnb, Netflix, Amazon etc. There is a sample answer with each question. But try to answer these questions in your own words.After going through this book 2-3 times, you will be well prepared to face a personal interview for a Software Engineer position. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Software Engineer Personal interview questions. We have already compiled the list of most popular and latest Personal/HR Interview questions. Are there answers in this book? Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book? You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass try to write an answer in your own words. After going through this book 2-3 times, you will be well prepared to face a Personal interview in IT. What is the level of questions in this book? This book contains HR and Personal Interview questions that are good for an Associate Software engineer to an Architect level. What are the sample questions in this book? Tell me something about yourself? What are your strengths? What are your biggest weaknesses? Why do you want to join our organization? Why should we hire you? What is the most challenging project you have done? Tell us about your most successful project? What is the latest technology that you have learnt? What will you do if you are asked to work in an area that you have never worked before? How do you work with a colleague who is not strong in technology? Do you like working in backend or front-end? What is your favorite programming language? On a scale of 1-10 rate yourself in Java or any other technology? What do you do to keep yourself updated with the latest technology? How much salary are you expecting? How soon can you join? How do you resolve conflicts with team members? Have you received any awards? How do you solve performance issues in code? What is the process of software development at your organization? Why did you stay for short time in your last job? How do you handle mistakes in your work? Do you have any suggestions for our company's products? Why there is gap of one year in your work experience? How long do you commit to work with our company? Will you be able to perform under pressure? How are your communication skills? You lack experience for this position. How will you compensate for this? What kind of team member you cannot work with? Do you have any friend in our company? Will you be able to work late hours or on weekends? Will you be able to work independently? How did you hear about us? What are you looking for in a new position? What do you know about our company?
| Author | : Vamsee Puligadda |
| Publisher | : Vamsee Puligadda |
| Total Pages | : |
| Release | : |
| Genre | : Computers |
| ISBN | : |
Knowledge for Free... Get that job, you aspire for! Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend? Do you know how many people get rejected in interviews by preparing only concepts but not focusing on actually which questions will be asked in the interview? Don't be that person this time. This is the most comprehensive Big Data, Hadoop interview questions book that you can ever find out. It contains: 1000 most frequently asked and important Big Data, Hadoop interview questions and answers Wide range of questions which cover not only basics in Big Data, Hadoop but also most advanced and complex questions which will help freshers, experienced professionals, senior developers, testers to crack their interviews.
| Author | : Knowledge Powerhouse |
| Publisher | : |
| Total Pages | : 66 |
| Release | : 2016-12-11 |
| Genre | : |
| ISBN | : 9781520125879 |
Introduction: Design Pattern Interview QuestionsUpdated 2020 edition!!This book contains the Design Pattern Technical interview questions that you can expect in a Java interview. Design Pattern is a very important topic in technical interview. Many fortune 500 organizations use Design Patterns. This book contains basic to expert level Design Pattern interview questions that an interviewer asks. Each question is accompanied with an answer so that you can prepare for job interview in short time. Often, these questions and concepts are used in our daily programming work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Design Pattern concepts.How will this book help me?By reading this book, you do not have to spend time searching the Internet for Design Pattern interview questions. We have already compiled the list of the most popular and the latest Design Pattern Interview questions. Are there answers in this book?Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book?You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass, mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this book 2-3 times, you will be well prepared to face a technical interview for Software Engineer position in Design Patterns programming. What is the level of questions in this book?This book contains questions that are good for a Associate Software engineer to a Principal Software engineer. The difficulty level of question varies in the book from a Fresher to an Experienced professional. What are the sample questions in this book? When will you use Strategy Design Pattern in Design Pattern? What is Observer design pattern? What are the examples of Observer design pattern in JDK? How Strategy design pattern is different from State design pattern in Design Pattern? Can you explain Decorator design pattern with an example in Design Pattern? What is a good scenario for using Composite design Pattern in Design Pattern? Have you used Singleton design pattern in your Design Pattern project? What are the main uses of Singleton design pattern in Design Pattern project? Why Design Pattern.lang.Runtime is a Singleton in Design Pattern? What is the way to implement a thread-safe Singleton design pattern in Design Pattern? What are the examples of Singleton design pattern in JDK? What are the examples of Visitor design pattern in JDK? How Decorator design pattern is different from Proxy pattern? What are the different scenarios to use Setter and Constructor based injection in Dependency Injection (DI) design pattern? What are the different scenarios for using Proxy design pattern? What is the main difference between Adapter and Proxy design pattern? What are the examples of Adapter design pattern in JDK? What is the difference between Factory and Abstract Factory design pattern? What is Open/closed design principle in Software engineering? What is SOLID design principle? What is a Data Access Object (DAO) design pattern? http://www.knowledgepowerhouse.com
| Author | : Arulkumaran Kumaraswamipillai |
| Publisher | : |
| Total Pages | : 356 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 9781411668249 |
400+ Java/J2EE Interview questions with clear and concise answers for: job seekers (junior/senior developers, architects, team/technical leads), promotion seekers, pro-active learners and interviewers. Lulu top 100 best seller. Increase your earning potential by learning, applying and succeeding. Learn the fundamentals relating to Java/J2EE in an easy to understand questions and answers approach. Covers 400+ popular interview Q&A with lots of diagrams, examples, code snippets, cross referencing and comparisons. This is not only an interview guide but also a quick reference guide, a refresher material and a roadmap covering a wide range of Java/J2EE related topics. More Java J2EE interview questions and answers & resume resources at http: //www.lulu.com/java-succes
| Author | : Knowledge Powerhouse |
| Publisher | : Independently Published |
| Total Pages | : 78 |
| Release | : 2018-09-11 |
| Genre | : Computers |
| ISBN | : 9781720224068 |
Top 50 Pandas Interview Questions This book contains Pandas (python library) interview questions that an interviewer asks. It is a compilation of easy to advanced Pandas interview questions after attending dozens of technical interviews in top-notch companies like- Oracle, Google, Ebay, Amazon etc. Each question is accompanied with an answer so that you can prepare for job interview in short time. Often, these questions and concepts are used in our daily programming work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Pandas concepts. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Pandas interview questions. We have already compiled the list of the most popular and the latest Pandas Interview questions. Are there answers in this book? Yes, in this book each question is followed by an answer. So you can save time in interview preparation. What is the best way of reading this book? You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass, mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this book 2-3 times, you will be well prepared to face a technical interview for Data Engineer position in Pandas. What is the level of questions in this book? This book contains questions that are good for a Associate Data engineer to a Principal Software engineer. The difficulty level of question varies in the book from a Fresher to an Experienced professional. What are the sample questions in this book? What is a Series in Pandas? How can we create copy of series in Pandas? How will you create a series from dict in Python? What are operations on Series in pandas? What is a DataFrame in pandas? What are the different ways in which a DataFrame can be created in Pandas? How will you create an empty DataFrame in pandas? How will you add a column to a pandas DataFrame? How will you add a scalar column with same value for all rows to a pandas DataFrame? How will you retrieve a single column from pandas DataFrame? How will you add the value of two columns in a pandas DataFrame to create another column? How will you delete a column in a pandas DataFrame? How can we select a column in pandas DataFrame? How can we retrieve a row in pandas DataFrame? How will you slice rows in a pandas DataFrame? How will you append new rows to a pandas DataFrame? How will you delete rows from a pandas DataFrame? How will you get the number of rows and columns of a DataFrame in pandas? How will you get the top 2 rows from a DataFrame in pandas? How will you get the last 2 rows from a DataFrame in pandas? How will you get the number of elements in a DataFrame in pandas? How will you get the names of columns of a DataFrame in pandas? How will you convert a DataFrame to an array in pandas? How can you check if a DataFrame is empty in pandas? How can you get the sum of values of a column in pandas DataFrame? How will you get the average of values of a column in pandas DataFrame? How can we get the statistical summary of data in a pandas DataFrame? How will you apply a function to every data element in a DataFrame? How will you apply a function to a row of pandas DataFrame? How will you apply a function to a column of pandas DataFrame? What is reindexing in pandas? How will you rename a column in pandas DataFrame?
| Author | : X Y Wang |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2023-09-04 |
| Genre | : |
| ISBN | : |
"Apache Kafka: 100 Interview Questions" stands as a comprehensive resource for those delving into the world of real-time data streaming. Within its pages, the book systematically breaks down the complexities of Apache Kafka, one of the most sought-after platforms in today's data-driven landscape. The book is structured to cater to a wide range of readers. Beginners will find a clear foundation, introducing them to the core principles and functionalities of Kafka. For the more experienced, the volume delves deeper, addressing intricate scenarios and challenges often encountered in real-world deployments. Each question, carefully selected, is complemented by a detailed answer, drawing from industry best practices and real-world use cases. This ensures not just theoretical understanding, but also practical insights for effective application. Whether you're preparing for an upcoming interview, seeking to validate your knowledge, or aiming to gain a deeper understanding of Kafka, this book is your go-to guide. It's more than just a collection of questions; it's a roadmap to mastering one of the most pivotal tools in the data streaming domain.
| Author | : Jules S. Damji |
| Publisher | : O'Reilly Media |
| Total Pages | : 400 |
| Release | : 2020-07-16 |
| Genre | : Computers |
| ISBN | : 1492050016 |
Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow
