
Outline the course flow for the Docker Certified Associate prep, detailing 14 sections, exam goals, core topics from containers to Kubernetes, hands-on demos, and mock exams.
Understand the DCA exam format, including DOMC questions, 55 items in 90 minutes, remotely proctored in English, with mock prep to earn the digital certificate and advance career prospects.
Set up a Google Cloud platform account, activate free credits, configure billing, create a project, and explore core resources like containers, VMs, storage, and data analysis.
Set up a practice environment by creating a virtual machine on Google Cloud Platform with Ubuntu 20.04, enabling SSH, and updating the system for Docker installation.
Explore the basics of Docker and containers, install Docker on multiple platforms, run your first container, and learn Docker architecture and container images in this beginner-friendly section.
Explore how containers differ from virtual machines, how container runtime environments use namespaces and cgroups for isolation, and why they enable scalable, portable deployment.
Explore how containers drive efficient, scalable microservices through a build, ship, and run workflow. Learn how Docker, an open platform, enables containerized apps across Linux, Mac, Windows, and Kubernetes.
Install docker on linux by adding the gpg key and configuring the stable repository for ubuntu. Install docker CLI, engine, and containerd, enable non-root access, and verify with docker version.
Watch a practical demo to run your first docker container by checking the Docker service status and executing docker run hello-world to launch a container.
Install Docker on Windows requires Windows 10 Pro/Enterprise/Education 64-bit, 4 GB RAM, and Hyper-V with Containers enabled; download Docker Desktop, run as administrator, restart, then run a container via PowerShell.
Download Docker Desktop for Mac from the official site, which detects Apple Silicon M1 architecture, mount the docker.dmg, and drag docker.app into the Applications folder to complete installation.
Explore Docker architecture and the build-ship-run model, focusing on the Docker client, Docker host, and Docker registries, and how dockerd runs images via Docker Hub.
Explore Docker Hub, the No. 1 image registry, and learn to browse millions of images, apply labels and filters, and view image info pages like BusyBox.
Discover which Docker images are used and why, focusing on Ubuntu and BusyBox OS images, Apache and Nginx web servers, MySQL and Redis databases, and WordPress CMS.
Master Dockerfiles to write, build images, and run containers, create your own Dockerfile and image, and prepare for the exam with hands-on practice in the Docker Certified Associate course.
Explore how a Dockerfile guides the Docker daemon to build the image, defines the context of the Dockerfile with dependencies and code in the same folder, and creates cacheable layers.
Learn to write a Dockerfile with a proper build context and core instructions—ARG, FROM, RUN, EXPOSE, ENTRYPOINT, and CMD—while understanding base images and layers.
Learn to build an nginx image from a Dockerfile, understand image layers and tagging, and run a container with port mapping to verify a running web server.
Learn advanced dockerfile instructions, including arg, env, label, volume, workdir, copy, add, healthcheck, expose, stopsignal, entrypoint, and cmd, to build robust nginx images with persistent data.
Build the updated nginx dockerfile with -f nginx-updated and nginx-v1 as context, run the container, verify health, and publish ports with -P. Inspect with docker exec, environment variables, and volumes.
Create a Docker Hub account by signing up, verifying your email, and choosing the free plan to push a Docker image during this Docker certified associate exam prep course module.
Publish a docker image to Docker Hub by tagging as ceruleanhub/nginx:v1, logging in, and pushing with digest verification; explore layer caching and repository details, plus adding tags like nginx-v2.
Explore Docker images through hands-on building from various sources, inspect layers, share and clean up images, and pull from an internal registry; learn the Docker CLI with flags and filters.
Explore how to use a GitHub repository as a Docker build context, tag images with -t, and build Nginx-based images from a Dockerfile, then push to Docker Hub.
Learn to build Docker images by piping the Dockerfile as input to docker build, removing the build context, and using the ADD instruction with a URL.
Explore building Docker images with compressed build contexts by creating a tarball of the Dockerfile and piping it to docker build, generating nginx-tarball.
Demonstrates building Docker images with BuildKit, enabling it via DOCKER_BUILDKIT=1 or daemon.json, and highlights parallel builds, improved caching, tagging, and efficient workflows.
Explore multi-stage builds to keep Docker images lean. See stage 0 with Ubuntu 18.04 and Git, then clone a repo to produce a lighter final image.
Remove unused Docker images with commands like docker rmi and docker image prune, learn referencing by tag or image ID, handle untagged and intermediate layers, and force removal with --force.
Explore how to search Docker images with the Docker CLI, filter official images, limit results, and customize output formats to find MySQL-related images on Docker Hub.
Learn to host a private docker registry using a container, map port 5000, and push and pull images to and from localhost:5000, while understanding registry isolation and image layers.
Explore how Docker image layers form a boot file system and base image stored under /var/lib/docker/overlay, with intermediate read-only layers used for caching.
Explore how docker images are built from layers and how docker history reveals add, copy, cmd and entrypoint details, using registry:latest, and learn to format output with --format.
Explore how to inspect a docker image with docker image inspect, decoding the image json fields—id, repository tags, digest, creation time, env vars, entrypoint, and overlay2 graph driver.
Save and share docker images using the save-load method: create a tarball with docker save, host it on GitHub, and load it on another host with docker load.
Trace the container lifecycle from creation to termination, learn writable layers, privileges, and how run, pause, stop, and kill commands control containers.
Master docker container operations: rename with docker rename, attach with docker attach, and run commands with docker exec; learn how -d keeps containers alive and how rename overwrites old names.
Demonstrate how to ship running containers using docker commit and export-import methods, converting writable layers into images and exporting file systems as tarballs for migration and registry sharing.
Monitor real-time container resource usage with docker stats across containers, including cpu and memory metrics. Learn docker top, diff, wait, and exec to track processes, file changes, and exit codes.
This demo shows sharing files with running containers using docker cp, illustrating source-destination rules for copy operations, and updating an apache-server container's index.html.
Explore how to inspect a running Docker container with Docker inspect, reviewing container metadata, state, root process, network and storage details, and practical filters for focused results.
Learn to view and stream container logs with docker logs, using --follow and --tail, and understand Docker's default json file logging driver and logging agent.
List containers to identify stopped and running ones, remove a stopped container with docker rm, prune dangling containers using docker container prune to free resources.
Explore Docker container networking, including Docker's container networking model, network drivers, and network types, then configure DNS and isolate a container from a network stack.
Explore how docker networks and drivers enable container communication via linux bridges like docker0 and veth endpoints, and how IPAM assigns private IPs and subnets.
Explore docker network drivers—host, bridge, macvlan, and overlay—and how docker networks use cgroups and namespaces to manage connectivity, IPAM, and swarm-driven ingress networking.
Explore docker's default bridge network, listing networks and inspecting bridge details to see container connections and IP addressing with ICC rules.
Learn how to create and use user-defined bridge networks in docker, configure custom subnets and gateways, connect containers, and test isolation and inter-network communication.
Learn how Docker host networking works: a container on host network is possible only with a new container, exposing the host's nginx page.
Learn how to create a macvlan network with Docker using the macvlan driver on a GCP VM to connect a container for legacy apps.
Disable a container's networking with the none network, creating a standalone, sandboxed instance that has no IP, no gateway, and can only communicate with the Docker daemon.
Learn how docker handles dns by using the host's resolv.conf or the --dns flag to configure a custom nameserver for containers, since nameservers affect resolution and search engine rankings.
Master container storage concepts, including file system layout, block vs object storage, volumes, bind mounts, and tmpfs. Practice data sharing with third-party drivers through a hands-on, easy assignment.
Explore how Docker storage drivers back up the writable container layer using volumes, bind mounts, and tmpfs, and compare host-based and external cloud storage options for reliable backups.
Understand how copy-on-write in containers preserves original images while allowing changes via a writable layer, ensuring integrity and creating new images when changes are committed.
Explore Docker volumes in action by listing, creating, and mounting volumes to containers. Learn how volumes reflect and preserve data, and how read-only mounts enhance security.
Explore how third party volume drivers extend Docker with plugins, test a sample plugin using docker volume create and mount to BusyBox, and inspect plugin directories under /var/lib/docker.
Share data across containers by mounting alpha-busybox's volume into beta-busybox with the --volumes-from approach, optionally read-only, for compute-intensive tasks using multiple isolated processes.
Learn to list and remove docker volumes, start with vol-plugin-busybox, remove containers as needed, and prune dangling volumes with docker volume prune to free host storage, preparing for bind mounts.
Demonstrates how to use bind mounts with docker run, mounting a host path to a container path via the -v flag, highlighting bidirectional data sharing and lifecycle behavior.
Scale container orchestration with Docker Swarm by learning Swarm architecture, setting up a swarm cluster, deploying scalable containerized applications with swarm services, using overlay networks, and performing rolling updates.
Learn container orchestration with Docker Swarm, forming a cluster of hosts with managers and workers, and routing service requests via the ingress routing mesh.
Set up a three-node docker swarm on Google Cloud VMs with a manager and two workers, install Docker, initialize swarm mode, and use join tokens to connect workers.
Deploy your first service on a docker swarm cluster with docker service create for a redis container in replicated mode, then monitor status with docker service ls and ps.
Explore swarm overlay networks, including ingress and the gossip cluster, and learn to create a user-defined overlay like my-swarm-net with encryption and attachable options for services via --network.
Connect an nginx service to a user-defined overlay swarm network named my-swarm-net using docker service create with constraints, mounts, and port publishing to expose 80 on 8080.
Learn to roll out and roll back Docker Swarm service updates by updating node availability, removing constraints, scaling replicas, and using rollback when needed.
Explore container orchestration at the cluster level with Docker swarm, including RAFT consensus and quorum, high availability, disaster management, and cluster locking.
Learn how a multi-manager swarm maintains high availability with a leader and reachable managers, uses quorum through an odd number of managers, and applies Raft consensus for leader elections.
Promote worker nodes to managers, observe leader election in a multi-manager swarm, and demote leaders to reveal failure risks, then confront swarm leave and disaster scenarios.
Explore how Docker swarm maintains availability by running three Nginx replicas, rescheduling tasks when a worker goes down, and allowing the downed node to return and resume hosting future tasks.
Learn to recover a docker swarm cluster after a disaster by backing up swarm state, forcing a new cluster, and using a global redis service to minimize downtime.
Learn to lock the swarm cluster by encrypting TLS keys and Raft logs, enable auto lock after restarts, and unlock or rotate keys using docker swarm unlock-key.
List and remove swarm services, then prune the cluster by deleting down and active nodes with Docker node rm, using force when needed to achieve a clean, organized swarm.
We cover Docker Compose and Docker Stack in this section of the Docker Certified Associate exam prep course, addressing their relevance in the syllabus and practical use.
Explore how docker compose uses a yaml compose file to define services, volumes, and networks, and learn how docker stack builds scalable services on a swarm cluster.
Deploy a WordPress stack with docker stack using a docker-compose.yaml (version 3.3) to run MySQL and WordPress on an overlay network. Verify exposure with docker stack commands.
Docker Certified Associate: The ultimate validation for your Containerization skills with Docker
Container creating a revolution in the IT industry is not news anymore. Their simplicity, scalability, and cost-effectiveness have enabled uncompromised performance with consumer-friendly revenue models for companies like Google, Paypal, Netflix, Adidas, IBM, Spotify, The New York Times and the list goes on.
The migration of the web application market to Containers is far from over. After Covid-19, more and businesses are going online than ever before, and many of them are choosing to be container-native! All of this has increased the demand for professionals with Containerization and Orchestration skills and Docker is the best Containerization tool in the market that supports Open Container Initiative while providing a unique and intuitive way to write Containerized apps.
Proficient Docker and Kubernetes users can easily grab 6 digit USD Jobs from ANY part of the world and the best way to prove your skills is clearing the DCA (Docker Certified Associate) exam because:
It is the only IT certification covering the entire containerization skill spectrum from writing Dockerfiles to managing Kubernetes Clusters,
It has a unique exam pattern involving a mix of Multiple Choice and Multiple Response questions,
Multiple Response questions require candidates to provide the correct response not only for the right answers but also for the wrong ones,
This means DCA Certificate holders are likely to be more confident and knowledgeable than others with their theoretical concepts and practical knowledge.
DCA Exam Prep Course
Special exams require special preparation and this course is exactly what you need. This course is a meticulous mix of theoretical explanations and practical demonstrations. It has been assisted by our in-house DCA expert, Dhwani Sametriya. Her courses have taught Docker to over 70000 students and she has also authored a book on Containers!
The course covers the entire syllabus of DCA laid out by Mirantis and explains each aspect with precision and patience. With continuous input for exam preparation and Mock Exams, you will never lose sight of your goal. Here is a broad introduction to what each section will cover.
Section 1: In this introductory section, you will get your container basics, understand details and requirements about the DCA exam and will also prepare your practice environment on Cloud.
Section 2: You will understand the Docker Architecture, Install Docker on Linux, Windows, and Mac, Visit Docker Hub. and Run your first Container.
Section 3: You will learn how to write Dockerfiles and build Docker Images. You will focus deeply on different Dockerfile instructions and their uses.
Section 4: You will learn how to build Docker Images from various build contexts (sources), managing Docker Images including listing, removing, and pruning, Image layers, and detailed Image inspection.
Section 5: You will understand and perform the entire life cycle of a docker container with the docker command line and work on a lot of container operations.
Section 6: You will learn docker's container Networking Model, network drivers, docker Networks, and their types. You will also learn how to isolate containers from a network stack or change their DNS configuration.
Section 7: You will learn how containers are arranged in a filesystem, docker storage drivers like volumes, bind mounts and temp fs, third party driver plugins, data sharing between containers and more.
Section 8: You will learn the basics of container orchestration with Docker Swarm, understand the Swarm architecture, set up your swarm Cluster, deploy a scalable containerized application using swarm service, work with overlay networks, and perform rolling updates.
Section 9: You will learn Swarm's leader election mechanism with Raft consensus and what is a quorum, high availability, disaster management (recovery), and cluster locking.
Section 10: You will learn about Docker Compose YAML files and Docker Stack.
Section 11: You will set up your own Mirantis Kubernetes Engine (MKE) Launchpad (formerly Docker Enterprise Edition UCP) cluster, work on MKE Dashboard, Operate Swarm on MKE by deploying scalable services without using the command line. You will also learn about advanced orchestration topics like Role-Based Access Control, managing TLS, and Swarm Collections.
Section 12: You will understand Kubernetes architecture and components, pods, and other basics of Kubernetes (K8s). You will also learn how to write YAML manifests for K8s objects. All of this is performed on the MKE launchpad cluster.
Section 13: You will learn how to work with K8s workload objects like ReplicaSets, Deployments, and Jobs, Networking objects like Cluster IP and Node Port Services, Storage objects like Persistent and Projected Volumes, Orchestration mechanisms like labels, selectors, and node affinity and so on.
Section 14: You will explore DTR and Docker Content Trust.
You can look at the course curriculum for detailed content coverage, do enjoy the preview videos as well!
On top of all of this, there are 5 hands-on Assignments with complete solutions, 10+ Quizzes, and 2 Mock Exams to solidify your preparation.
We have been teaching Docker and Kubernetes to students for years and this course is designed with the essence of what they love about our teaching. Check out what our students have to say about us!
Bhavana Verma
"Awesome course! One of the best course content and delivery, of course, is very effective."
Peter S
"Great and easy explanation of docker. Wonderful."
Muhammad Asad Javed
"This course was so good as it clears my concepts and questions about containers and docker."
Diego MSDN
"Excelente curso para adicionar contenido a mis conocimientos previos."
Brandon Doyle
"Great, fast-paced, doesn't make me wait with him to experience the output of blocked commands or operations; very, very clear in his descriptions."
Krish Lalwani
"I liked the course a lot because of the Demo videos right after the theory. Demos were easy to replicate too."
Muskan Sharma
"The examples given were very good. They helped me understand so many things that I wasn’t able to while going through other documentation."
We are extremely grateful for their kind words and appreciation. With that said, we can't wait to see you in the class!
Happy Learning and I hope you have a fantastic day!