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Docker DCA Exam Syllabus Topics:

SectionObjectives
Topic 1: Troubleshooting- Diagnostics and debugging
  • 1. Resource monitoring
    • 2. Container logs and events
      Topic 2: Image Creation, Management, and Registry- Docker images lifecycle
      • 1. Docker Hub and private registries
        • 2. Build images using Dockerfile
          • 3. Tagging and pushing images
            Topic 3: Orchestration- Container orchestration basics
            • 1. Docker Swarm architecture
              • 2. Scaling containers
                • 3. Services and stacks
                  Topic 4: Storage and Volumes- Data persistence in Docker
                  • 1. Volumes and bind mounts
                    • 2. Storage drivers
                      Topic 5: Networking- Docker networking concepts
                      • 1. Overlay networks
                        • 2. Network troubleshooting
                          • 3. Bridge networks
                            Topic 6: Security- Docker security fundamentals
                            • 1. Image security scanning
                              • 2. User namespaces and permissions
                                • 3. Secrets management
                                  Topic 7: Docker Installation & Configuration- Docker Engine setup and configuration
                                  • 1. Install Docker on Linux/Windows
                                    • 2. Configure Docker daemon

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                                      Docker Certified Associate (DCA) Exam Sample Questions (Q162-Q167):

                                      NEW QUESTION # 162
                                      The Kubernetes yaml shown below describes a networkPolicy.

                                      Will the networkPolicy BLOCK this traffic?
                                      Solution: a request issued from a pod lacking the tier: api label, to a pod bearing the tier: backend label

                                      Answer: B

                                      Explanation:
                                      Explanation
                                      The networkPolicy will not block this traffic because it does not apply to pods that have the tier: backend label. The networkPolicy only applies to pods that have the tier: frontend label, as specified by the podSelector field. Pods that have the tier: backend label are not affected by this networkPolicy and can receive traffic from any source.
                                      References:
                                      https://kubernetes.io/docs/concepts/services-networking/network-policies/#the-networkpolicy-resource


                                      NEW QUESTION # 163
                                      Two pods bear the same label, app: dev.
                                      Will a label selector matching app: dev match both of these pods?

                                      Answer: B


                                      NEW QUESTION # 164
                                      During development of an application meant to be orchestrated by Kubernetes, you want to mount the /data directory on your laptop into a container.
                                      Will this strategy successfully accomplish this?
                                      Solution: Add a volume to the pod that sets hostPath.path: /data, and then mount this volume into the pod's containers as desired.

                                      Answer: B

                                      Explanation:
                                      Explanation
                                      The solution will not work because a hostPath volume mounts a file or directory from the host node's filesystem into the pod, not from the laptop1. The host node is the VM or machine where the pod is scheduled to run, not the machine where the kubectl commands are executed. Therefore, the /data directory on the laptop will not be accessible to the pod unless it is also present on the host node. A better solution would be to use a persistent volume that can be accessed from any node in the cluster, such as NFS, AWS EBS, or Azure Disk2. References:
                                      * 1: Volumes | Kubernetes
                                      * 2: Persistent Volumes | Kubernetes


                                      NEW QUESTION # 165
                                      You want to provide a configuration file to a container at runtime. Does this set of Kubernetes tools and steps accomplish this?
                                      Solution: Turn the configuration file into a configMap object, use it to populate a volume associated with the pod, and mount that file from the volume to the appropriate container and path.

                                      Answer: B

                                      Explanation:
                                      = Mounting the configuration file directly into the appropriate pod and container using the
                                      .spec.containers.configMounts key is not a valid way to provide a configuration file to a container at runtime. The .spec.containers.configMounts key does not exist in the Kubernetes API1. The correct way to provide a configuration file to a container at runtime is to use a ConfigMap2. A ConfigMap is a Kubernetes object that stores configuration data as key-value pairs. You can create a ConfigMap from a file, and then mount the ConfigMap as a volume into the pod and container. The configuration file will be available as a file in the specified mount path3. Alternatively, you can also use environment variables to pass configuration data to a container from a ConfigMap4. References:
                                      * PodSpec v1 core
                                      * Configure a Pod to Use a ConfigMap
                                      * Populate a Volume with data stored in a ConfigMap
                                      * Define Container Environment Variables Using ConfigMap Data


                                      NEW QUESTION # 166
                                      A company's security policy specifies that development and production containers must run on separate nodes in a given Swarm cluster.
                                      Can this be used to schedule containers to meet the security policy requirements?
                                      Solution: label contraints

                                      Answer: A

                                      Explanation:
                                      Label constraints can be used to schedule containers to meet the security policy requirements. Label constraints allow you to specify which nodes a service can run on based on the labels assigned to the nodes1. For example, you can label the nodes that are intended for development with env=dev and the nodes that are intended for production with env=prod. Then, you can use the --constraint flag when creating a service to restrict it to run only on nodes with a certain label value. For example, docker service create --name dev-app --constraint 'node.labels.env == dev' ... will create a service that runs only on development nodes2. Similarly, docker service create --name prod-app --constraint 'node.labels.env == prod' ... will create a service that runsonly on production nodes3. This way, you can ensure that development and production containers are running on separate nodes in a given Swarm cluster. Reference:
                                      Add labels to swarm nodes
                                      Using placement constraints with Docker Swarm
                                      Multiple label placement constraints in docker swarm


                                      NEW QUESTION # 167
                                      ......

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