Docker Certified Associate (DCA) exam is a certification program designed to validate an individual's skills in using Docker technology. DCA exam is administered by Docker, Inc., the company responsible for developing and maintaining the Docker platform. The DCA certification is globally recognized and demonstrates the holder's ability to work with Docker in a professional setting.
Reference: https://dockerlabs.collabnix.com/docker/dca.html
Docker Certified Associate (DCA) Certification Exam is a professional certification for Docker developers and system administrators. Docker Certified Associate (DCA) Exam certification exam validates the candidate's expertise in managing, deploying, and troubleshooting Docker-based applications. The DCA certification is designed to test the candidate's knowledge of Docker architecture, Docker CLI, Docker Compose, Docker Swarm, and Docker networking.
Achieving the DCA certification is a significant milestone for Docker professionals. Docker Certified Associate (DCA) Exam certification demonstrates a commitment to staying up-to-date with the latest Docker technologies and best practices. It also provides a competitive edge in the job market, as more and more companies are adopting Docker as their containerization platform of choice.
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Docker DCA Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Orchestration | 25% | - Identify the steps needed to troubleshoot a service not deploying - Describe how a Dockerized application communicates with legacy systems - Increase number of replicas - Describe how to provide configuration to Kubernetes pods using configMaps and secrets - Convert an application deployment into a stack file using a YAML compose file with "docker stack deploy" - Complete the setup of a swarm mode cluster - Describe the difference between global and replicated services - Extend the instructions to run individual containers into running services under swarm - State the differences between running a container vs running a service - Describe how to deploy containerized workloads as Kubernetes pods and deployments - Mount volumes - Demonstrate steps to lock a swarm cluster - Add networks, publish ports - Manipulate a running stack of services - Interpret the output of "docker inspect" commands - Describe and demonstrate how to use replication mode |
| Storage and Volumes | 10% | - Describe the different graph driver storage backends - Describe how to use a volume plugin (local vs. NFS) - Describe the storage models available for DTR (NFS, local) - Describe how volumes work with containers - Describe the use of tmpfs for ephemeral storage - Identify the steps to take to clean up unused images on a filesystem and DTR |
| Networking | 15% | - Troubleshoot container and engine logs to understand a connectivity issue between containers - Describe the differences between "host" and "ingress" port publishing mode - Configure Docker to use external DNS - Describe how to install a remote driver to a specific infrastructure provider - Understand the Container Network Model and how it interfaces with the Docker engine and network and IPAM drivers - Describe the different types and use cases for the built-in network drivers - Publish a port so that an application is accessible externally - Create a Docker bridge network for a developer to use for their containers - Identify which IP and port a container is externally accessible on |
| Installation and Configuration | 15% | - Describe the use of UCP (Universal Control Plane) - Create and manager user and teams - Complete setup of repo, select a storage driver, and complete installation of Docker engine on multiple platforms - Configure logging drivers (splunk, journald, etc.) - Describe the interaction between Docker and Linux - Setup swarm, configure managers, add nodes, and setup the backup schedule - Outline the sizing requirements prior to installation - Interpret errors to troubleshoot installation issues without assistance - Demonstrate the ability to upgrade the Docker engine - Use the install command to install DTR (Docker Trusted Registry) - Describe namespaces, cgroups, and configuration of certificates |
| Image Creation, Management, and Registry | 20% | - Describe how image layers work - Describe how to set up and use a local registry - Give examples on how to create an efficient image via a Dockerfile - Identify and display the main parts of a Dockerfile - Utilize a registry to store an image - Demonstrate tagging an image - Describe the use of Dockerfile - Inspect images and report specific attributes using filter and format - Describe options, such as add, copy, volumes, expose, entry point - Display layers of a Docker image - Use CLI commands such as list, delete, prune, rmi, etc. to manage images - Apply a file to create a new image - Describe how an image registry works |
| Security | 15% | - Describe MTLS - Describe default engine security - Describe UCP and DTR integration with LDAP/AD - Describe MTLS and identity roles - Describe identity roles - Describe the process to sign a Docker image - Describe the security architecture and responsibilities of the Docker EE platform - Enable Docker Content Trust - Describe swarm default security - Configure RBAC with UCP - Describe the difference between UCP and DTR - Compare the UCP workers and managers |
