This book contains basic to expert level Docker interview questions that an interviewer asks. 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- Google, Facebook, Netflix, Amazon etc.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 Docker.The difficulty rating on these Questions varies from a Fresher level software programmer to a Senior software programmer. 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 on Docker for an experienced programmer.Sample Questions are:What is Docker?What is the difference between Docker image and Docker container?How will you remove an image from Docker?How is a Docker container different from a hypervisor?Can we write compose file in json file instead of yaml?Can we run multiple apps on one server with Docker?What are the common use cases of Docker?What are the main features of Docker-compose?What is the most popular use of Docker?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 is Docker Swarm?What are the features of Docker Swarm?What is a Docker Image?What is a Docker Container?What is Docker Machine?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?Can we run more than one process in a Docker container?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 are the three main steps of Docker Compose?What is Pluggable Storage Driver architecture in Docker based containers?What is Docker Hub?What are the main features of Docker Hub?What are the main security concerns with Docker based containers?What are the security benefits of using Container based system?How can we check the status of a Container in Docker?What are the main benefits of using Docker?How does Docker simplify Software Development process?What is the basic architecture behind Docker?What are the popular tasks that you can do with Docker Command line tool?What type of applications- Stateless or Stateful are more suitable for Docker Container?How can Docker run on different Linux distributions?Why do we use Docker on top of a virtual machine?How can Docker container share resources?What is the difference between Add and Copy command in a Dockerfile?What is Docker Entrypoint?What is ONBUILD command in Docker?What is Build cache in Docker?What are the most common instructions in Dockerfile?What is the purpose of EXPOSE command in Dockerfile?What are the different kinds of namespaces available in a Container?How will you monitor Docker in production?What are the Cloud platforms that support Docker?How can we control the startup order of services in Docker compose?Why Docker compose does not wait for a container to be ready before moving on to start next service in dependency order?How will you customize Docker compose file for different environments?

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

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

Well, in the last four months, I have been involved in the recruitment process of various DevOps related jobs in my current project. I have come across multiple Entry Level and Mid-Level career professionals inquisitive about expectations of the role and how their earlier experience would contribute to the DevOps role.

Whether the issue of the day on Twitter, Facebook, or cable news is our sexuality, political divides, or the perceived conflict between faith and science, today’s media pushes each one of us into a frustrating clash between two opposing sides. Polarizing, us-against-them discussions divide us and distract us from thinking clearly and communicating lovingly with others. Scott Sauls, like many of us, is weary of the bickering and is seeking a way of truth and beauty through the conflicts. Jesus Outside the Lines presents Jesus as this way. Scott shows us how the words and actions of Jesus reveal a response that does not perpetuate the destructive fray. Jesus offers us a way forward—away from harshness, caricatures, and stereotypes. In Jesus Outside the Lines, you will experience a fresh perspective of Jesus, who will not (and should not) fit into the sides.

Apply Kubernetes beyond the basics of Kubernetes clusters by implementing IAM using OIDC and Active Directory, Layer 4 load balancing using MetalLB, advanced service integration, security, auditing, and CI/CD Key Features Find out how to add enterprise features to a Kubernetes cluster with theory and exercises to guide you Understand advanced topics including load balancing, externalDNS, IDP integration, security, auditing, backup, and CI/CD Create development clusters for unique testing requirements, including running multiple clusters on a single server to simulate an enterprise environment Book DescriptionContainerization has changed the DevOps game completely, with Docker and Kubernetes playing important roles in altering the flow of app creation and deployment. This book will help you acquire the knowledge and tools required to integrate Kubernetes clusters in an enterprise environment. The book begins by introducing you to Docker and Kubernetes fundamentals, including a review of basic Kubernetes objects. You’ll then get to grips with containerization and understand its core functionalities, including how to create ephemeral multinode clusters using kind. As you make progress, you’ll learn about cluster architecture, Kubernetes cluster deployment, and cluster management, and get started with application deployment. Moving on, you’ll find out how to integrate your container to a cloud platform and integrate tools including MetalLB, externalDNS, OpenID connect (OIDC), pod security policies (PSPs), Open Policy Agent (OPA), Falco, and Velero. Finally, you will discover how to deploy an entire platform to the cloud using continuous integration and continuous delivery (CI/CD). By the end of this Kubernetes book, you will have learned how to create development clusters for testing applications and Kubernetes components, and be able to secure and audit a cluster by implementing various open-source solutions including OpenUnison, OPA, Falco, Kibana, and Velero.What you will learn Create a multinode Kubernetes cluster using kind Implement Ingress, MetalLB, and ExternalDNS Configure a cluster OIDC using impersonation Map enterprise authorization to Kubernetes Secure clusters using PSPs and OPA Enhance auditing using Falco and EFK Back up your workload for disaster recovery and cluster migration Deploy to a platform using Tekton, GitLab, and ArgoCD Who this book is for This book is for anyone interested in DevOps, containerization, and going beyond basic Kubernetes cluster deployments. DevOps engineers, developers, and system administrators looking to enhance their IT career paths will also find this book helpful. Although some prior experience with Docker and Kubernetes is recommended, this book includes a Kubernetes bootcamp that provides a description of Kubernetes objects to help you if you are new to the topic or need a refresher.

Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder