Top 200 DevOps Engineer Interview Questions and Answers


Book Description

Top 200 DevOps Engineer Interview Questions DevOps is one of the most popular technology trends. There is a growing demand for DevOps Engineer job in technology companies. This book contains technical interview questions that an interviewer asks for DevOps Engineer position. Each question is accompanied with an answer so that you can prepare for job interview in short time. The book contains questions on DevOps, Docker, Unix and Cloud Computing. It is a combination of our four other books. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Airbnb, Netflix, Amazon etc.Often, these questions and concepts are used in our daily work. But these are most helpful when an Interviewer is trying to test your deep knowledge of DevOps topics like- Jenkins, Docker, Unix, Cloud Computing etc. What are the DevOps topics covered in this book? We cover a wide variety of DevOps topics in this book. Some of the topics are Docker, AWS OpsWorks Stacks, CloudFormation, Ansible, Jenkins, Nagios, Kubernetes, Docker, Unix, Cloud Computing etc. How will this book help me? By reading this book, you do not have to spend time searching the Internet for DevOps interview questions. We have already compiled the list of the most popular and the latest DevOps 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 a DevOps Engineer position. What is the level of questions in this book? This book contains questions that are good for a beginner DevOps engineer to a senior DevOps engineer. The difficulty level of question varies in the book from Fresher to a Seasoned professional. What are the sample questions in this book? What are the popular DevOps tools that you use? What are the main features of AWS OpsWorks Stacks? How does CloudFormation work in AWS? What is CICD in DevOps? What are the benefits of Continuous Integration (CI)? What is the architecture of Chef? What are the main use cases of Ansible? What is Docker Hub? What is Multi-factor authentication? What is State Stalking in Nagios? What is the architecture of Puppet? What is the use of Kubernetes? What is the architecture of Kubernetes? What is the role of open source development in the popularity of Docker? What is the difference between Docker commands: up, run and start? What are the features of Docker Swarm? What is a Docker Image? Why do we use Docker Machine? How will you create a Container in Docker? Do you think Docker is Application-centric or Machine-centric? Can we lose our data when a Docker Container exits? What are the objects created by Docker Cloud in Amazon Web Services (AWS) EC2? How will you take backup of Docker container volumes in AWS S3? What is a Passive check in Nagios? What are the common use cases of Docker? Is there a video course available for this book? We have made a video course based on AWS Interview Preparation book on Udemy. It is very well appreciated by professionals. https://www.udemy.com/course/1127286 http://www.knowledgepowerhouse.com




Top 200 Operations Engineer Interview Questions and Answers


Book Description

Top 200 Operations Engineer Interview Questions Operations Engineer is an important technology job. There is a growing demand for Operations Engineer job with knowledge of Unix, Python, Maven, GIT etc in technology companies. This book contains popular technical interview questions that an interviewer asks for Operations Engineer position. The questions cover Python, Unix, GIT and Maven areas. It is a combination of our four other books. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Airbnb, Netflix, Amazon etc.Often, these questions and concepts are used in our daily work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Operations topics like- Python, Unix, Maven, GIT etc. What are the Operations topics covered in this book? We cover a wide variety of Operations topics in this book. Some of the topics are Unix, Python, Maven, GIT etc. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Operations Engineer interview questions. We have already compiled the list of the most popular and the latest Operations 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, 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 a Operations Engineer position. What is the level of questions in this book? This book contains questions that are good for a beginner Operations engineer to a senior Operations engineer. The difficulty level of question varies in the book from Fresher to a Seasoned professional. What are the sample questions in this book? Can anyone upload JARS or artifacts to Central Repository? Can we create our own directory structure for a project in Maven? GIT is written in which language? How are arguments passed in a Python method? By value or by reference? How can we create a dictionary with ordered set of keys in Python? How can we do Functional programming in Python? How can we exclude a dependency in Maven? How can we get the debug or error messages from the execution of Maven? How can we know if a branch is already merged into master in GIT? How can we resolve a merge conflict in GIT? How can we retrieve data from a MySQL database in a Python script? How can we run a process in background in Unix? How can we kill a process running in background? How can we see n most recent commits in GIT? How can we see the configuration settings of GIT installation? How can we skip the running of tests in Maven? How can you redirect I/O in Unix? How do you perform unit testing for Python code? How do you profile a Python script? How does alias work in Unix? How does memory management work in Python? How many heads can you create in a GIT repository? How Maven searches for JAR corresponding to a dependency? How will you add a new feature to the main branch? How will you check if a remote host is still alive? How will you check in Python, if a class is subclass of another class? How will you check the information about a process in Unix? http://www.knowledgepowerhouse.com




AWS Certified Solutions Architect Official Study Guide


Book Description

Validate your AWS skills. This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS has been the frontrunner in cloud computing products and services, and the AWS Certified Solutions Architect Official Study Guide for the Associate exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, access to Sybex’s interactive online learning environment, and much more. This official study guide, written by AWS experts, covers exam concepts, and provides key review on exam topics, including: Mapping Multi-Tier Architectures to AWS Services, such as web/app servers, firewalls, caches and load balancers Understanding managed RDBMS through AWS RDS (MySQL, Oracle, SQL Server, Postgres, Aurora) Understanding Loose Coupling and Stateless Systems Comparing Different Consistency Models in AWS Services Understanding how AWS CloudFront can make your application more cost efficient, faster and secure Implementing Route tables, Access Control Lists, Firewalls, NAT, and DNS Applying AWS Security Features along with traditional Information and Application Security Using Compute, Networking, Storage, and Database AWS services Architecting Large Scale Distributed Systems Understanding of Elasticity and Scalability Concepts Understanding of Network Technologies Relating to AWS Deploying and Managing Services with tools such as CloudFormation, OpsWorks and Elastic Beanstalk. Learn from the AWS subject-matter experts, review with proven study tools, and apply real-world scenarios. If you are looking to take the AWS Certified Solutions Architect Associate exam, this guide is what you need for comprehensive content and robust study tools that will help you gain the edge on exam day and throughout your career.




Engineering DevOps


Book Description

This book is an engineering reference manual that explains "How to do DevOps?". It is targeted to people and organizations that are "doing DevOps" but not satisfied with the results that they are getting. There are plenty of books that describe different aspects of DevOps and customer user stories, but up until now there has not been a book that frames DevOps as an engineering problem with a step-by-step engineering solution and a clear list of recommended engineering practices to guide implementors. The step-by-step engineering prescriptions can be followed by leaders and practitioners to understand, assess, define, implement, operationalize, and evolve DevOps for their organization. The book provides a unique collection of engineering practices and solutions for DevOps. By confining the scope of the content of the book to the level of engineering practices, the content is applicable to the widest possible range of implementations. This book was born out of the author's desire to help others do DevOps, combined with a burning personal frustration. The frustration comes from hearing leaders and practitioners say, "We think we are doing DevOps, but we are not getting the business results we had expected." Engineering DevOps describes a strategic approach, applies engineering implementation discipline, and focuses operational expertise to define and accomplish specific goals for each leg of an organization's unique DevOps journey. This book guides the reader through a journey from defining an engineering strategy for DevOps to implementing The Three Ways of DevOps maturity using engineering practices: The First Way (called "Continuous Flow") to The Second Way (called "Continuous Feedback") and finally The Third Way (called "Continuous Improvement"). This book is intended to be a guide that will continue to be relevant over time as your specific DevOps and DevOps more generally evolves.




Cracking the Coding Interview


Book Description

Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time.




DevOps Troubleshooting


Book Description

“If you’re a developer trying to figure out why your application is not responding at 3 am, you need this book! This is now my go-to book when diagnosing production issues. It has saved me hours in troubleshooting complicated operations problems.” –Trotter Cashion, cofounder, Mashion DevOps can help developers, QAs, and admins work together to solve Linux server problems far more rapidly, significantly improving IT performance, availability, and efficiency. To gain these benefits, however, team members need common troubleshooting skills and practices. In DevOps Troubleshooting: Linux Server Best Practices, award-winning Linux expert Kyle Rankin brings together all the standardized, repeatable techniques your team needs to stop finger-pointing, collaborate effectively, and quickly solve virtually any Linux server problem. Rankin walks you through using DevOps techniques to troubleshoot everything from boot failures and corrupt disks to lost email and downed websites. You’ll master indispensable skills for diagnosing high-load systems and network problems in production environments. Rankin shows how to Master DevOps’ approach to troubleshooting and proven Linux server problem-solving principles Diagnose slow servers and applications by identifying CPU, RAM, and Disk I/O bottlenecks Understand healthy boots, so you can identify failure points and fix them Solve full or corrupt disk issues that prevent disk writes Track down the sources of network problems Troubleshoot DNS, email, and other network services Isolate and diagnose Apache and Nginx Web server failures and slowdowns Solve problems with MySQL and Postgres database servers and queries Identify hardware failures–even notoriously elusive intermittent failures




Software Engineering at Google


Book Description

Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. You’ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions




Site Reliability Engineering


Book Description

The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use




Python for DevOps


Book Description

Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide. Python foundations, including a brief introduction to the language How to automate text, write command-line tools, and automate the filesystem Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing Cloud computing, infrastructure as code, Kubernetes, and serverless Machine learning operations and data engineering from a DevOps perspective Building, deploying, and operationalizing a machine learning project




Coders at Work


Book Description

Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker