DCA Exam Dumps - Docker Certified Associate (DCA) Exam

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 runs only on production nodes3. This way, you can ensure that development and production containers are running on separate nodes in a given Swarm cluster. References:

• Add labels to swarm nodes
• Using placement constraints with Docker Swarm
• Multiple label placement constraints in docker swarm

= Creating images that contain the specific configuration for every environment is not a way to provision configuration to containers at runtime. This approach violates the principle of separating application code from configuration, and makes the images less portable and reusable across different environments1. It also increases the maintenance overhead and the risk of configuration drift, as any change in the configuration would require rebuilding and redeploying the images2. To provision configuration to containers at runtime, you should use a different mechanism, such as environment variables, command-line arguments, or config maps345. References:

• Configuration management with Containers | Kubernetes
• Environment variables in Compose | Docker Docs
• Override the default command | Docker Docs
• Configuration management with Containers | Kubernetes

Docker’s bridge network allows containers connected to the same bridge network to communicate, while providing isolation from containers that aren’t connected to that bridge network1. By using the network attach command, you can connect a container to the bridge network, making it reachable from the host’s network12. However, it’s important to note that containers on the default bridge network can only access each other by IP addresses, unless you use the --link option, which is considered legacy2. For better isolation and automatic DNS resolution between containers, it’s recommended to use user-defined bridge networks12.

 = The command kubectl describe deployment api displays the events table for the deployment object called api, along with other information such as labels, replicas, strategy, conditions, and pod template. The events table shows the history of actions that have affected the deployment, such as scaling, updating, or creating pods. This can help troubleshoot any issues with the deployment. To see only the events table, you can use the flag --show-events=true with the command. References:

• Deployments | Kubernetes
• kubectl - How to describe kubernetes resource - Stack Overflow
• Kubectl: Get Deployments - Kubernetes - ShellHacks
• kubernetes - Kubectl get deployment yaml file - Stack Overflow

= Distributing seven managers across three datacenters or availability zones as 3-2-2 is not a good way to ensure high availability and fault tolerance. This is because a swarm cluster requires a majority of managers (more than half) to be available and able to communicate with each other in order to maintain the swarm state and avoid a split-brain scenario1. If one of the datacenters or availability zones with three managers goes down, the remaining four managers will not have a quorum and the swarm will stop functioning. A better way to distribute seven managers across three datacenters or availability zones is 3-3-1 or 3-2-1-1, which will allow the swarm to survive the loss of one or two datacenters or availability zones, respectively2. References:

• Administer and maintain a swarm of Docker Engines | Docker Docs
• How to Create a Cluster of Docker Containers with Docker Swarm and DigitalOcean on Ubuntu 16.04 | DigitalOcean

 Setting the log-driver and log-opt keys to values for the logging solution (Splunk) in the daemon.json file will configure a Docker container to export container logs to the logging solution. This is because the Splunk logging driver sends container logs to the HTTP Event Collector in Splunk Enterprise and Splunk Cloud1. To use the Splunk driver as the default logging driver, set the keys log-driver and log-opts to appropriate values in the daemon.json configuration file and restart Docker1. To use the Splunk driver for a specific container, use the commandline flags --log-driver and log-opt with docker run1. The Splunk logging driver supports various options, such as splunk-token, splunk-url, splunk-source, splunk-sourcetype, splunk-index, etc1. References: Splunk logging driver | Docker Docs1

= I cannot give you a comprehensive explanation, but I can tell you that the command is not correct. The docker volume command is used to manage volumes, not to display logs1. The docker logs command is used to display the logs of a container2. The solution suggests using docker volume logs nginx --containers, which is not a valid syntax. To display the list of volumes for a specific container, you can use the docker inspect command with a filter option3. For example, docker inspect -f ‘{{ .Mounts }}’ nginx will show the volumes mounted by the nginx container4. You will need to understand how to use the docker commands and options to answer this question correctly. References:

• Docker volume command documentation: 1
• Docker logs command documentation: 2
• Docker inspect command documentation: 3
• How to list volumes of a container: 4

I hope this helps you prepare for your DCA exam. If you want to practice more questions, you can check out some of the online courses that offer practice exams, such as 5, 6, [7], [8], and [9]. Good luck! 😊

The --privileged flag lifts all the cgroup limitations for a container, as well as other security restrictions imposed by the Docker daemon1. This gives the container full access to the host’s devices, resources, and capabilities, as if it was running directly on the host2. This can be useful for certain use cases that require elevated privileges, such as running Docker-in-Docker or debugging system issues3. However, using the --privileged flag also poses a security risk, as it exposes the host to potential attacks or damages from the container4. Therefore, it is not recommended to use the --privileged flag unless absolutely necessary, and only with trusted images and containers.

The other options are not correct because they do not lift all the cgroup limitations for a container, but only affect specific aspects of the container’s resource allocation or isolation:

•The --cpu-period flag sets the CPU CFS (Completely Fair Scheduler) period for a container, which is the length of a CPU cycle in microseconds. This flag can be used in conjunction with the --cpu-quota flag to limit the CPU time allocated to a container. However, this flag does not affect other cgroup limitations, such as memory, disk, or network.

•The --isolation flag sets the isolation technology for a container, which is the mechanism that separates the container from the host or other containers. This flag is only available on Windows containers, and can be used to choose between process, hyperv, or process-isolated modes. However, this flag does not affect the cgroup limitations for a container, but only the level of isolation from the host or other containers.

•The --cap-drop flag drops one or more Linux capabilities for a container, which are the privileges that a process can use to perform certain actions on the system. This flag can be used to reduce the attack surface of a container by removing unnecessary or dangerous capabilities. However, this flag does not affect the cgroup limitations for a container, but only the capabilities granted to the container by the Docker daemon.

References:

•Runtime privilege and Linux capabilities

•Docker Security: Using Containers Safely in Production

•Docker run reference

•Docker Security: Are Your Containers Tightly Secured to the Ship? SlideShare

•[Secure Engine]

•[Configure a Pod to Use a Limited Amount of CPU]

•[Limit a container’s resources]

•[Managing Container Resources]

•[Isolation modes]

•[Windows Container Isolation Modes]

•[Windows Container Version Compatibility]

•[Docker and Linux Containers]

•[Docker Security Cheat Sheet]

•[Docker Security: Using Containers Safely in Production]