Top 200 Cloud Computing Engineer Interview QuestionsCloud Computing is one of the most popular technology trends. There is a growing demand for Cloud Computing Engineer job in technology companies. This book contains technical interview questions that an interviewer asks for Cloud Computing 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 Cloud Computing, Amazon Web Services AWS, Docker and Unix. 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 Cloud Computing topics like- Jenkins, Docker, Unix, Cloud Computing etc.What are the Cloud Computing topics covered in this book?We cover a wide variety of Cloud Computing topics in this book. Some of the topics are Docker, Amazon Web Services, AWS Architecture, EC2, S3, 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 Cloud Computing interview questions. We have already compiled the list of the most popular and the latest Cloud Computing 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 Cloud Computing Engineer position.What is the level of questions in this book?This book contains questions that are good for a beginner Cloud Computing engineer to a senior Cloud Computing 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 main features of AWS OpsWorks Stacks?
- How does CloudFormation work in AWS?
- What is CICD in Cloud Computing?
- Can we disable versioning on a version-enabled bucket in Amazon S3?
- Can we do Cross Region replication in Amazon S3 without enabling versioning on a bucket?
- Can we lose our data when a Docker Container exits?
- Can we run more than one process in a Docker container?
- Do you think Cloud Computing is a software application or a hardware service?
- Do you think Docker is Application-centric or Machine-centric?
- How can we build a Scalable system in AWS?
- How can you failover gracefully in AWS?
- How databases in Cloud computing are different from traditional databases?
- How do we get higher performance in our application by using Amazon CloudFront?
- How does AWS Lambda handle failure during event processing?
- How is a Docker container different from a hypervisor?
- How is Amazon Machine Image (AMI) and an Amazon Instance are related?
- How is Cloud computing different from computing for mobile devices?
- How will you automate your software infrastructure in AWS?
Publication date: 03/18/2017Kindle book details: Kindle Edition, 195 pages
Αmαzon Web Services (ΑWS) is Αmαzon’s cloud web hosting plαtform thαt offers flexible, reliαble, scαlαble, eαsy-to-use, αnd cost-effective solutions. This tutoriαl covers vαrious importαnt topics illustrαting how ΑWS works αnd how it is beneficiαl to run your website on Αmαzon Web Services.This Book was prepαred for beginners who wαnt to leαrn how Αmαzon Web Services works to provide reliαble, flexible, αnd cost-effective cloud computing services.
Publication date: 08/29/2017Kindle book details: Kindle Edition, 187 pages
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning -- the foundation of efforts to process that data into knowledge -- has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications.Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security.
Published by: The MIT Press | Publication date: 09/30/2016Kindle book details: Kindle Edition, 225 pages
- Over 100 recipes created by a team of OpenStack experts
- Updated to work with the latest OpenStack builds with recipes covering installation and use of OpenStack with Ansible
- Covering topics such as Keystone, Glance, Neutron, Nova, Cinder, and more
- Recipes for OpenStack storage, networking and orchestrating workloads
- Test drive OpenStack using the accompanying Vagrant environment
- Understand, install, configure, and manage a complete OpenStack Cloud platform using OpenStack-Ansible
- Configure networks, routers, load balancers, and more with Neutron
- Use and secure Keystone, the OpenStack Authentication service
- Install and set up Swift and Container Replication between datacenters
- Gain hands-on experience and familiarity with Horizon, the OpenStack Dashboard user interface
- Automate complete solutions with our recipes on Heat, the OpenStack Orchestration service as well as using Ansible to orchestrate application workloads
- Follow practical advice and examples to run OpenStack in production
Published by: Packt Publishing | Publication date: 02/09/2018Kindle book details: Kindle Edition, 460 pages
This is a Quick Guide to Cloud Computing and Cyber Security - For Beginners.Cloud computing has appeared in many small forms and now it is emerging as a huge solution to the problem of the fast changing and increasingly cyber world in which we live and work.Table of ContentsWhat is Cloud Computing?Types of Cloud ComputingCloud Computing ExamplesCyber SecurityCyber Security DangersPhysical SecurityLayers of SecurityNetwork SecurityCloud Computing and Security ThreatsThe Need for PoliciesThe Future?SummaryIn this book, cloud computing and cyber security is described in a way that covers all sizes and implementations of businesses involved in using this method of computing.
Publication date: 12/17/2012Kindle book details: Kindle Edition, 24 pages
The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security.The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.
Published by: The MIT Press | Publication date: 09/22/2017Kindle book details: Kindle Edition, 392 pages
Cloud Computing: Theory and Practice provides students and IT professionals with an in-depth analysis of the cloud from the ground up. Beginning with a discussion of parallel computing and architectures and distributed systems, the book turns to contemporary cloud infrastructures, how they are being deployed at leading companies such as Amazon, Google and Apple, and how they can be applied in fields such as healthcare, banking and science. The volume also examines how to successfully deploy a cloud application across the enterprise using virtualization, resource management and the right amount of networking support, including content delivery networks and storage area networks. Developers will find a complete introduction to application development provided on a variety of platforms.
- Learn about recent trends in cloud computing in critical areas such as: resource management, security, energy consumption, ethics, and complex systems
- Get a detailed hands-on set of practical recipes that help simplify the deployment of a cloud based system for practical use of computing clouds along with an in-depth discussion of several projects
- Understand the evolution of cloud computing and why the cloud computing paradigm has a better chance to succeed than previous efforts in large-scale distributed computing
Published by: Morgan Kaufmann | Publication date: 05/30/2013Kindle book details: Kindle Edition, 416 pages
Updated and Expanded in 2013Cloud Computing Explained provides an overview of Cloud Computing in an enterprise environment. There is a tremendous amount of enthusiasm around cloud-based solutions and services as well as the cost-savings and flexibility that they can provide. It is imperative that all senior technologists have a solid understanding of the ramifications of cloud computing since its impact is likely to permeate the entire IT landscape. However, it is not trivial to introduce a fundamentally different service-delivery paradigm into an existing enterprise architecture. This book describes the benefits and challenges of Cloud Computing and then leads the reader through the process of assessing the suitability of a cloud-based approach for a given situation, calculating and justifying the investment that is required to transform the process or application, and then developing a solid design that considers the implementation as well as the ongoing operations and governance required to maintain the solution in a partially outsourced delivery model.
Published by: Recursive Press | Publication date: 05/03/2010Kindle book details: Kindle Edition, 473 pages
Is your “big idea” worth pursuing? What if you could test your business model earlier in the process—before you’ve expended valuable time and resources? You’ve talked to customers. You’ve identified problems that need solving, and maybe even built a minimum viable product. But now there’s a second bridge to cross. How do you tell whether your idea represents a viable business? Do you really have to go through the whole cycle of development, failure, iteration, tweak, repeat? Scaling Lean offers an invaluable blueprint for modeling startup success. You’ll learn the essential metrics that measure the output of a working business model, give you the pulse of your company, communicate its health to investors, and enable you to make precise interventions when things go wrong. You’ll also learn how to: · ballpark the viability of a business model using a simple five-minute back-of-the-envelope estimation. · stop using current revenue as a measure of progress (it forces you to fly blind and, often, to overpromise to your shareholders) and instead embrace the metric of traction—which helps you identify the leading indicators for future business model growth. · set progressive goals that set you up for exponential long-term success by implementing a staged 10X rollout strategy, like one employed by Facebook and Tesla. · stop burying your breakthrough insights in failed experiments, but rather illuminate them using two-week LEAN sprints to quickly source, rank, and test ideas. Ash Maurya, a serial entrepreneur and author of the startup cult classic Running Lean, pairs real-world examples of startups like Airbnb and Hubspot with techniques from the manufacturing world in this tactical handbook for scaling with maximum efficiency and efficacy. This is vital reading for any startup founder graduating from the incubator stage.From the Hardcover edition.
Published by: Portfolio | Publication date: 06/14/2016Kindle book details: Kindle Edition, 296 pages
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online. This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.
- Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing
- Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more
- Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery
- Designed for undergraduate or graduate students taking a distributed systems course—each chapter includes exercises and further reading, with lecture slides and more available online
Published by: Morgan Kaufmann | Publication date: 12/18/2013Kindle book details: Kindle Edition, 672 pages