Docker Latest Interview Questions and Answers

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Introduction of Docker

Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker’s methodologies for shipping, testing, and deploying code quickly, you can significantly reduce the delay between writing code and running it in production.

The Docker platform

Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security allows you to run many containers simultaneously on a given host. Containers are lightweight and contain everything needed to run the application, so you do not need to rely on what is currently installed on the host. You can easily share containers while you work, and be sure that everyone you share with gets the same container that works in the same way.

Docker provides tooling and a platform to manage the lifecycle of your containers:

  • Develop your application and its supporting components using containers.
  • The container becomes the unit for distributing and testing your application.
  • When you’re ready, deploy your application into your production environment, as a container or an orchestrated service. This works the same whether your production environment is a local data center, a cloud provider, or a hybrid of the two.

What can I use Docker for?

Fast, consistent delivery of your applications

Docker streamlines the development lifecycle by allowing developers to work in standardized environments using local containers which provide your applications and services. Containers are great for continuous integration and continuous delivery (CI/CD) workflows.

Consider the following example scenario:

  • Your developers write code locally and share their work with their colleagues using Docker containers.
  • They use Docker to push their applications into a test environment and execute automated and manual tests.
  • When developers find bugs, they can fix them in the development environment and redeploy them to the test environment for testing and validation.
  • When testing is complete, getting the fix to the customer is as simple as pushing the updated image to the production environment.

Responsive deployment and scaling

Docker’s container-based platform allows for highly portable workloads. Docker containers can run on a developer’s local laptop, on physical or virtual machines in a data center, on cloud providers, or in a mixture of environments.

Docker’s portability and lightweight nature also make it easy to dynamically manage workloads, scaling up or tearing down applications and services as business needs dictate, in near real time.

Running more workloads on the same hardware

Docker is lightweight and fast. It provides a viable, cost-effective alternative to hypervisor-based virtual machines, so you can use more of your compute capacity to achieve your business goals. Docker is perfect for high density environments and for small and medium deployments where you need to do more with fewer resources.

Explain about the Docker architecture?

Docker uses a client-server architecture. The Docker client talks to the Docker daemon, which does the heavy lifting of building, running, and distributing your Docker containers. The Docker client and daemon can run on the same system, or you can connect a Docker client to a remote Docker daemon. The Docker client and daemon communicate using a REST API, over UNIX sockets or a network interface. Another Docker client is Docker Compose, that lets you work with applications consisting of a set of containers.

Docker Architecture Diagram

The Docker daemon

The Docker daemon (dockerd) listens for Docker API requests and manages Docker objects such as images, containers, networks, and volumes. A daemon can also communicate with other daemons to manage Docker services.

The Docker client

The Docker client (docker) is the primary way that many Docker users interact with Docker. When you use commands such as docker run, the client sends these commands to dockerd, which carries them out. The docker command uses the Docker API. The Docker client can communicate with more than one daemon.

Docker Desktop

Docker Desktop is an easy-to-install application for your Mac or Windows environment that enables you to build and share containerized applications and microservices. Docker Desktop includes the Docker daemon (dockerd), the Docker client (docker), Docker Compose, Docker Content Trust, Kubernetes, and Credential Helper.

Docker registries

A Docker registry stores Docker images. Docker Hub is a public registry that anyone can use, and Docker is configured to look for images on Docker Hub by default. You can even run your own private registry.

When you use the docker pull or docker run commands, the required images are pulled from your configured registry. When you use the docker push command, your image is pushed to your configured registry.

Docker objects

When you use Docker, you are creating and using images, containers, networks, volumes, plugins, and other objects. This section is a brief overview of some of those objects.


An image is a read-only template with instructions for creating a Docker container. Often, an image is based on another image, with some additional customization. For example, you may build an image which is based on the ubuntu image, but installs the Apache web server and your application, as well as the configuration details needed to make your application run.

You might create your own images or you might only use those created by others and published in a registry. To build your own image, you create a Dockerfile with a simple syntax for defining the steps needed to create the image and run it. Each instruction in a Dockerfile creates a layer in the image. When you change the Dockerfile and rebuild the image, only those layers which have changed are rebuilt. This is part of what makes images so lightweight, small, and fast, when compared to other virtualization technologies.


A container is a runnable instance of an image. You can create, start, stop, move, or delete a container using the Docker API or CLI. You can connect a container to one or more networks, attach storage to it, or even create a new image based on its current state.

By default, a container is relatively well isolated from other containers and its host machine. You can control how isolated a container’s network, storage, or other underlying subsystems are from other containers or from the host machine.

A container is defined by its image as well as any configuration options you provide to it when you create or start it. When a container is removed, any changes to its state that are not stored in persistent storage disappear.

Example docker run command

The following command runs an ubuntu container, attaches interactively to your local command-line session, and runs /bin/bash.

$ docker run -i -t ubuntu /bin/bash

When you run this command, the following happens (assuming you are using the default registry configuration):

  1. If you do not have the ubuntu image locally, Docker pulls it from your configured registry, as though you had run docker pull ubuntu manually.
  2. Docker creates a new container, as though you had run a docker container create command manually.
  3. Docker allocates a read-write filesystem to the container, as its final layer. This allows a running container to create or modify files and directories in its local filesystem.
  4. Docker creates a network interface to connect the container to the default network, since you did not specify any networking options. This includes assigning an IP address to the container. By default, containers can connect to external networks using the host machine’s network connection.
  5. Docker starts the container and executes /bin/bash. Because the container is running interactively and attached to your terminal (due to the -i and -t flags), you can provide input using your keyboard while the output is logged to your terminal.
  6. When you type exit to terminate the /bin/bash command, the container stops but is not removed. You can start it again or remove it.

What are docker images?

They are executable packages(bundled with application code & dependencies, software packages, etc.) for the purpose of creating containers. Docker images can be deployed to any docker environment and the containers can be spun up there to run the application.

What is a DockerFile?

  • It is a text file that has all commands which need to be run for building a given image.

What is the functionality of a hypervisor?

A hypervisor is a software that makes virtualization happen because of which is sometimes referred to as the Virtual Machine Monitor. This divides the resources of the host system and allocates them to each guest environment installed.

  • This means that multiple OS can be installed on a single host system. Hypervisors are of 2 types:

    1. Native Hypervisor: This type is also called a Bare-metal Hypervisor and runs directly on the underlying host system which also ensures direct access to the host hardware which is why it does not require base OS.
    2. Hosted Hypervisor: This type makes use of the underlying host operating system which has the existing OS installed.

What is docker namespace?

A namespace is basically a Linux feature that ensures OS resources partition in a mutually exclusive manner. This forms the core concept behind containerization as namespaces introduce a layer of isolation amongst the containers. In docker, the namespaces ensure that the containers are portable and they don’t affect the underlying host. Examples for namespace types that are currently being supported by Docker – PID, Mount, User, Network, IPC.

What is the docker command that lists the status of all docker containers?

In order to get the status of all the containers, we run the below command: docker ps -a

What is docker image registry?

  • A Docker image registry, in simple terms, is an area where the docker images are stored. Instead of converting the applications to containers each and every time, a developer can directly use the images stored in the registry.
  • This image registry can either be public or private and Docker hub is the most popular and famous public registry available.

How many Docker components are there?

There are three docker components, they are – Docker Client, Docker Host, and Docker Registry.

  • Docker Client: This component performs “build” and “run” operations for the purpose of opening communication with the docker host.
  • Docker Host: This component has the main docker daemon and hosts containers and their associated images. The daemon establishes a connection with the docker registry.
  • Docker Registry: This component stores the docker images. There can be a public registry or a private one. The most famous public registries are Docker Hub and Docker Cloud.

What is a Docker Hub?

  • It is a public cloud-based registry provided by Docker for storing public images of the containers along with the provision of finding and sharing them.
  • The images can be pushed to Docker Hub through the docker push command.

What command can you run to export a docker image as an archive?

This can be done using the docker save command and the syntax is: docker save -o <exported_name>.tar <container-name>

What command can be run to import a pre-exported Docker image into another Docker host?

This can be done using the docker load command and the syntax is docker load -i <export_image_name>.tar

Can a paused container be removed from Docker?

No, it is not possible! A container MUST be in the stopped state before we can remove it.

What command is used to check for the version of docker client and server?

  • The command used to get all version information of the client and server is the docker version.
  • To get only the server version details, we can run docker version --format '{{.Server.Version}}'

Differentiate between virtualization and containerization.

The question indirectly translates to explaining the difference between virtual machines and Docker containers.

Virtualization Containerization
This helps developers to run and host multiple OS on the hardware of a single physical server.This helps developers to deploy multiple applications using the same operating system on a single virtual machine or server.
Hypervisors provide overall virtual machines to the guest operating systems. Containers ensure isolated environment/ user spaces are provided for running the applications. Any changes done within the container do not reflect on the host or other containers of the same host.
These virtual machines form an abstraction of the system hardware layer this means that each virtual machine on the host acts like a physical machine.Containers form abstraction of the application layer which means that each container constitutes a different application.

Differentiate between COPY and ADD commands that are used in a Dockerfile?

Both the commands have similar functionality, but COPY is more preferred because of its higher transparency level than that of ADD.
COPY provides just the basic support of copying local files into the container whereas ADD provides additional features like remote URL and tar extraction support.

Can a container restart by itself?

  • Yes, it is possible only while using certain docker-defined policies while using the docker run command. Following are the available policies:

    1. Off: In this, the container won’t be restarted in case it’s stopped or it fails.
    2. On-failure: Here, the container restarts by itself only when it experiences failures not associated with the user.
    3. Unless-stopped: Using this policy, ensures that a container can restart only when the command is executed to stop it by the user.
    4. Always: Irrespective of the failure or stopping, the container always gets restarted in this type of policy.

    These policies can be used as:
    docker run -dit — restart [restart-policy-value] [container_name]

What are the differences between a docker Image and Layer?

Image: This is built up from a series of read-only layers of instructions. An image corresponds to the docker container and is used for speedy operation due to the caching mechanism of each step.

Layer: Each layer corresponds to an instruction of the image’s Dockerfile. In simple words, the layer is also an image but it is the image of the instructions run.

Consider the example Dockerfile below.
FROM ubuntu:18.04 COPY . /myapp RUN make /myapp CMD python /myapp/ Importantly, each layer is only a set of differences from the layer before it. 

– The result of building this docker file is an image. Whereas the instructions present in this file add the layers to the image. The layers can be thought of as intermediate images. In the example above, there are 4 instructions, hence 4 layers are added to the resultant image.

 What is the purpose of the volume parameter in a docker run command?

  • The syntax of docker run when using the volumes is: docker run -v host_path:docker_path <container_name>
  • The volume parameter is used for syncing a directory of a container with any of the host directories. Consider the below command as an example: docker run -v /data/app:usr/src/app myapp
    The above command mounts the directory  /data/app in the host to the usr/src/app directory. We can sync the container with the data files from the host without having the need to restart it.
  • This also ensures data security in cases of container deletion. This ensures that even if the container is deleted, the data of the container exists in the volume mapped host location making it the easiest way to store the container data.

Where are docker volumes stored in docker?

Volumes are created and managed by Docker and cannot be accessed by non-docker entities. They are stored in Docker host filesystem at /var/lib/docker/volumes/

What does the docker info command do?

The command gets detailed information about Docker installed on the host system. The information can be like what is the number of containers or images and in what state they are running and hardware specifications like total memory allocated, speed of the processor, kernel version, etc.

What are the purposes of up, run, and start commands of docker compose?

  • Using the up command for keeping a docker-compose up (ideally at all times), we can start or restart all the networks, services, and drivers associated with the app that are specified in the docker-compose.yml file. Now if we are running the docker-compose up in the “attached” mode then all the logs from the containers would be accessible to us. In case the docker-compose is run in the “detached” mode, then once the containers are started, it just exits and shows no logs.
  • Using the run command, the docker-compose can run one-off or ad-hoc tasks based on the business requirements. Here, the service name has to be provided and the docker starts only that specific service and also the other services to which the target service is dependent (if any).
    – This command is helpful for testing the containers and also performing tasks such as adding or removing data to the container volumes etc.
  • Using the start command, only those containers can be restarted which were already created and then stopped. This is not useful for creating new containers on its own.

What are the basic requirements for the docker to run on any system?

Docker can run on both Windows and Linux platforms.

  • For the Windows platform, docker atleast needs Windows 10 64bit with 2GB RAM space. For the lower versions, docker can be installed by taking help of the toolbox. Docker can be downloaded from website.
  • For Linux platforms, Docker can run on various Linux flavors such as Ubuntu >=12.04, Fedora >=19, RHEL >=6.5, CentOS >=6 etc.

What are the most commonly used instructions in Dockerfile?

  • FROM: This is used to set the base image for upcoming instructions. A docker file is considered to be valid if it starts with the FROM instruction.
  • LABEL: This is used for the image organization based on projects, modules, or licensing. It also helps in automation as we specify a key-value pair while defining a label that can be later accessed and handled programmatically.
  • RUN: This command is used to execute instructions following it on the top of the current image in a new layer. Note that with each RUN command execution, we add layers on top of the image and then use that in subsequent steps.
  • CMD: This command is used to provide default values of an executing container. In cases of multiple CMD commands the last instruction would be considered.

What are the differences between Daemon Logging and Container Logging?

  • In docker, logging is supported at 2 levels and they are logging at the Daemon level or logging at the Container level.
  • Daemon Level: This kind of logging has four levels- Debug, Info, Error, and Fatal.
    – Debug has all the data that happened during the execution of the daemon process.
    – Info carries all the information along with the error information during the execution of the daemon process.
    – Errors have those errors that occurred during the execution of the daemon process.
    – Fatal has the fatal errors that occurred during the execution.
  • Container Level:
    – Container level logging can be done using the command: sudo docker run –it <container_name> /bin/bash
    – In order to check for the container level logs, we can run the command: sudo docker logs <container_id>

What is the way to establish communication between docker host and Linux host?

This can be done using networking by identifying the “ipconfig” on the docker host. This command ensures that an ethernet adapter is created as long as the docker is present in the host.

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