If you're looking for Docker Interview Questions for Experienced or Freshers, you are at the right place. There are a lot of opportunities from many reputed companies in the world. According to research, Docker has a market share of about 5.8%. So, You still have the opportunity to move ahead in your career in Docker Engineering. Mindmajix offers Advanced Docker Interview Questions 2023 that help you in cracking your interview & acquire a dream career as Docker Engineer.
We have categorized Docker Interview Questions - 2023 (Updated) into 3 levels they are:
|If you want to enrich your career and become a professional in Docker, then enroll in "Docker Training". This course will help you to achieve excellence in this domain.|
|Virtual Machines||Docker Containers|
|Need more resources||Less resources are used|
|Process isolation is done at the hardware level||Process Isolation is done at Operating System-level|
|Separate Operating System for each VM||Operating System resources can be shared within Docker|
|VMs can be customized||Custom container setup is easy|
|Takes time to create a Virtual Machine||The creation of docker is very quick|
|Booting takes minutes||Booting is done within seconds.|
Docker can be defined as a Containerization platform that packs all your applications, and all the necessary dependencies combined to form containers. This will not only ensure the applications work seamlessly given any environment but also provides better efficiency to your Production-ready applications. Docker wraps up bits and pieces of software with all the needed filesystems containing everything that needs to run the code, provide the runtime, system tools/libraries. This will ensure that the software is always run and executed the same, regardless of the environment.
Containers run on the same machine sharing the same Operating system Kernel, this makes it faster – as starting the applications is the only time that is required to start your Docker container (remember that the OS Kernel is already UP and running and uses the least of the RAM possible).
Docker is lightweight and more efficient in terms of resource uses because it uses the host underlying kernel rather than creating its own hypervisor.
To start with, Docker is one of the upcoming and is a fresh project. Since its inception has been done in the Cloud era, it been way better than many of the other competing Container technologies which have ruled their way until Docker came into existence. There is an active community that is running towards the better upbringing of Docker and it has also started extending its support to Windows and Mac OSX environments in recent days. Other than these, below are the best possible reasons to highlight Docker as one of the better options to choose from than the existing Container technologies.
A Docker image can be understood as a template from which Docker containers can be created as many as we want out of that single Docker image. Having said that, to put it in layman's terms, Docker containers are created out of Docker images. Docker images are created with the build command, and this produces a container that starts when it is run. Docker images are stored in the Docker registry such as the public Docker registry (registry.hub.docker.com) as these are designed to be constituted with layers of other images, enabling just the minimal amount of data over the network.
This is a very important question so just make sure you don’t deviate from the topic and I will advise you to follow the below mentioned format:
Docker hub is a cloud-based registry service that allows you to link to code repositories, build your images and test them, store manually pushed images, and link to the Docker cloud so you can deploy images to your hosts. It provides a centralized resource for container image discovery, distribution and change management, user and team collaboration, and workflow automation throughout the development pipeline.
Docker Swarm can be best understood as the native way of Clustering implementation for Docker itself. Docker Swarm turns a pool of Docker hosts into a single and virtual Docker host. It serves the standard Docker API or any other tool that can already communicate with a Docker daemon and can make use of Docker Swarm to scale in a transparent way to multiple hosts. Following is a list of some of the supported tools that will be helpful in achieving what we have discussed just now.
|Check out Docker Swarm Architecture|
Dockerfile is nothing but a set of instructions that have to be passed on to Docker itself so that it can build images automatically by reading these instructions from that specified Dockerfile. A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image. Using docker build users can create an automated build that executes several command-line instructions in succession.
YES, you can very comfortably use JSON instead of the default YAML for your Docker compose file. In order to use JSON file with composing, you need to specify the filename to use as the following:
docker-compose -f docker-compose.json up
This is a question that you could bring upon your whole experience with Docker and if you have used any other Container technologies before Docker. You could also explain the ease that this technology has brought in the automation of the development to production lifecycle management. You can also discuss any other integrations that you might have worked on along with Docker such as Puppet, Chef, or even the most popular of all technologies – Jenkins. If you do not have any experience with Docker itself but similar tools from this space, you could convey the same and also show your interest in learning this leading containerization technology.
You can create a Docker Container out of any specific Docker image of your choice and the same can be achieved using the command given below:
docker run -t -i command name
The command above will create the container and also starts it for you. In order to check whether the Docker container is created and whether it is running or not, you could make use of the following command. This command will list out all the Docker containers along with their statuses on the host that the Docker container runs.
docker ps -a
The following command can be used to stop a certain Docker container with the container id as
docker stop CONTAINER_ID
The following command can be used to restart a certain Docker container with the container id as
docker restart CONTAINER_ID
Best examples in the Web deployments like Google, Twitter and best examples in the Platform Providers like Heroku, and dotCloud run on Docker which can scale from the ranges of hundreds of thousands to millions of containers running in parallel, given the condition that the OS and the memory don’t run out from the hosts which runs all these innumerable containers hosting your applications.
Docker is currently available on the following platforms and also on the following Vendors or Linux:
Docker is currently available and also is able to run on the following Cloud environment setups given below:
Docker is extending its support to Windows and Mac OSX environments and support on Windows has been on the growth in a very drastic manner.
There is no loss of data when any of your Docker containers exits as any of the data that your application writes to the disk in order to preserve it. This will be done until the container is explicitly deleted. The file system for the Docker container persists even after the Docker container is halted.
The most exciting potential use of Docker that I can think of is its build pipeline. Most of the Docker professionals are seen using hyper-scaling with containers, and indeed get a lot of containers on the host that it actually runs on. These are also known to be blatantly fast. Most of the development–test build pipeline is completely automated using the Docker framework.
Docker is the newest and the latest craze in the world of Virtualization and also Cloud computing because it is an ultra-lightweight containerization app that is brimming with potential to prove its mettle.
A docker-compose stop will attempt to stop a specific Docker container by sending a SIGTERM message. Once this message is delivered, it waits for the default timeout period of 10 seconds and once the timeout period is crossed, it then sends out a SIGKILL message to the container – in order to kill it forcefully. If you are actually waiting for the timeout period, then it means that the containers are not shutting down on receiving SIGTERM signals/messages.
In an attempt to solve this issue, the following is what you can do:
Docker’s compose makes use of the Project name to create unique identifiers for all of the project’s containers and resources. In order to run multiple copies of the same project, you will need to set a custom project name using the –p command-line option or you could use the
COMPOSE_PROJECT_NAME environment variable for this purpose.
In any given scenario, you would always want your docker-compose up. Using the command UP, you can start or restart all the services that are defined in a docker-compose.yml file. In the “attached” mode, which is also the default mode – we will be able to see all the log files from all the containers. In the “detached” mode, it exits after starting all the containers, which continue to run in the background showing nothing over in the foreground.
Using the docker-compose run command, we will be able to run the one-off or the ad-hoc tasks that are required to be run as per the Business needs and requirements. This requires the service name to be provided which you would want to run and based on that, it will only start those containers for the services that the running service depends on. Using the run command, you can run your tests or perform any of the administrative tasks like removing/adding data to the data volume container. It is also very similar to the docker run –ti command, which opens up an interactive terminal to the containers an exit status that matches with the exit status of the process in the container.
Using the docker-compose start command, you can only restart the containers that were previously created and were stopped. This command never creates any new Docker containers on its own.
Dockerizing enterprise environments helps teams to leverage the Docker containers to form a service platform like CaaS (Container as a Service). It gives teams the necessary agility, and portability and also lets them control staying within their own network/environment.
Most of the developers opt to use Docker and Docker alone because of the flexibility and also the ability that it provides to quickly build and ship applications to the rest of the world. Docker containers are portable and these can run in any environment without making any additional changes when the application developers have to move between Developer, Staging, and Production environments. This whole process is seamlessly implemented without the need of performing any recoding activities for any of the environments. These not only help reduce the time between these lifecycle states but also ensures that the whole process is performed with utmost efficiency. There is every possibility for the Developers to debug any certain issue, fix it and also update the application with it and propagate this fix to the higher environments with the utmost ease.
The operations teams can handle the security of the environments while also allowing the developers to build and ship the applications in an independent manner. The CaaS platform that is provided by the Docker framework can deploy on-premise and is also loaded with full of enterprise-level security features such as role-based access control, integration with LDAP or any Active Directory, image signing and etc. Operations teams have heavily relied on the scalability provided by Docker and can also leverage the Dockerized applications across any environment.
Docker containers are so portable that it allows teams to migrate workloads that run on an Amazon’s AWS environment to Microsoft Azure without even having to change its code and also with no downtime at all. Docker allows teams to migrate these workloads from their cloud environments to their physical datacenters and vice versa. This also enables the Organizations to focus on the infrastructure from the gained advantages both monetarily and also the self-reliability over Docker. The lightweight nature of Docker containers compared to traditional tools like virtualization, combined with the ability for Docker containers to run within VMs, allows teams to optimize their infrastructure by 20X, and save money in the process.
Depending on the environment where Docker is going to host the containers, there can be as many containers as the environment supports. The application size, and available resources (like CPU, and memory) will decide on the number of containers that can run on an environment. Though containers create newer CPUs on their own they can definitely provide efficient ways of utilizing the resources. The containers themselves are super lightweight and only last as long as the process they are running.
This can be easily achieved by adding either the COPY or the ADD directives in your docker file. This will count to be useful if you want to move your code along with any of your Docker images, for example, sending your code an environment up the ladder – The development environment to the Staging environment or from the Staging environment to the Production environment.
Having said that, you might come across situations where you’ll need to use both approaches. You can have the image include the code using a COPY, and use a volume in your Compose file to include the code from the host during development. The volume overrides the directory contents of the image.
Docker containers are gaining popularity each passing day and definitely will be a quintessential part of any professional Continuous Integration / Continuous Development pipelines. Having said that there is equal responsibility on all the key stakeholders at each Organization to take up the challenge of weighing the risks and gains on adopting technologies that are budding up on a daily basis. In my humble opinion, Docker will be extremely effective in Organizations that appreciate the consequences of Containerization.
We can identify the status of a Docker container by running the command ‘docker ps –a’, which will in turn list down all the available docker containers with its corresponding statuses on the host. From there we can easily identify the container of interest to check its status correspondingly.
The most important difference that can be noted is that, by using the ‘docker create’ command we can create a Docker container in the Stopped state. We can also provide it with an ID that can be stored for later usages as well.
This can be achieved by using the command ‘docker run’ with the option
–cidfile FILE_NAME as like this:
‘docker run –cidfile FILE_NAME’
There are four states that a Docker container can be in, at any given point in time. Those states are as given as follows:
To answer this question blatantly, No, it is not possible to remove a container from Docker that is just paused. It is a must that a container should be in the stopped state before it can be removed from the Docker container.
To answer this question blatantly, No, it is not possible. The default –restart flag is set to never restart on its own. If you want to tweak this, then you may give it a try.
The best and the preferred way of removing containers from Docker is to use the ‘docker stop’, as it will allow sending a
SIG_HUP signal to its recipients giving them the time that is required to perform all the finalization and cleanup tasks. Once this activity is completed, we can then comfortably remove the container using the ‘docker rm’ command from Docker and thereby update the docker registry as well.
Docker container is the runtime instance of the docker image.
Docker Image doesn't have a state and its state never changes as it is just a set of files whereas the docker container has its execution state.
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Vinod M is a Big data expert writer at Mindmajix and contributes in-depth articles on various Big Data Technologies. He also has experience in writing for Docker, Hadoop, Microservices, Commvault, and few BI tools. You can be in touch with him via LinkedIn and Twitter.
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