Docker Updated DCA Exam Questions and Answers by chase

 Multi-stage builds are a feature of Docker that allows you to use multiple FROM statements in your Dockerfile. Each FROM statement creates a new stage of the build, which can use a different base image and run different commands. You can then copy artifacts from one stage to another, leaving behind everything you don’t want in the final image. This optimizes the image size and reduces the attack surface by removing unnecessary dependencies and tools. For example, you can use a stage to compile your code, and then copy only the executable file to the final stage, which can use a minimal base image like scratch. This way, you don’t need to include the compiler or the source code in the final image. References:

• Multi-stage builds | Docker Docs
• What Are Multi-Stage Docker Builds? - How-To Geek
• Multi-stage | Docker Docs

= The command docker run -v /data:/mydata --mode readonly ubuntu is not valid because it has some syntax errors. The correct syntax for running a container with a bind mount is docker run [OPTIONS] IMAGE [COMMAND] [ARG...]. The errors in the command are:

• The option flag for specifying the volume is --volume or -v, not -v. For example, -v /data:/mydata should be --volume /data:/mydata.
• The option flag for specifying the mode of the volume is --mount, not --mode. For example, --mode readonly should be --mount type=bind,source=/data,target=/mydata,readonly.
• The option flag for specifying the mode of the container is --detach or -d, not --mode. For example, --mode readonly should be --detach.

The correct command for running a container with a bind mount in read-only mode is:

docker run --volume /data:/mydata --mount type=bind,source=/data,target=/mydata,readonly --detach ubuntu

This command will run a container using the ubuntu image and mount the host’s /data directory to the container’s /mydata directory in read-only mode. The container will run in the background (--detach).

References: : docker run reference | Docker Documentation : [Use bind mounts | Docker Documentation]

= This strategy will not successfully accomplish this. A PersistentVolumeClaim (PVC) is a request for storage by a user that is automatically bound to a suitable PersistentVolume (PV) by Kubernetes1. A PV is a piece of storage in the cluster that has been provisioned by an administrator or dynamically provisioned using StorageClasses1. A hostPath is a type of volume that mounts a file or directory from the host node’s filesystem into a pod2. It is mainly used for development and testing on a single-node cluster, and not recommended for production use2.

The problem with this strategy is that it assumes that the hostPath /data on the node is the same as the /data directory on your laptop. This is not necessarily true, as the node may be a different machine than your laptop, or it may have a different filesystem layout. Also, the hostPath volume is not portable across nodes, so if your pod is scheduled on a different node, it will not have access to the same /data directory2. Furthermore, the storageClass parameter is not applicable for hostPath volumes, as they are not dynamically provisioned3.

To mount the /data directory on your laptop into a container, you need to use a different type of volume that supports remote access, such as NFS, Ceph, or GlusterFS4. You also need to make sure that your laptop is accessible from the cluster network and that it has the appropriate permissions to share the /data directory. Alternatively, you can use a tool like Skaffold or Telepresence to sync your local files with your cluster56. References:

• Persistent Volumes | Kubernetes
• Volumes | Kubernetes
• Storage Classes | Kubernetes
• Kubernetes Storage Options | Kubernetes Academy
• Skaffold | Easy and Repeatable Kubernetes Development
• Telepresence: fast, local development for Kubernetes and OpenShift microservices

= The command docker logs  will not configure a Docker container to export container logs to the logging solution, such as Splunk. This command only displays the logs of a specific container in the standard output or a file, but does not send them to any external system1. To export container logs to Splunk, you need to use the Docker Logger Drivers, which are plugins that provide logging capabilities for Docker containers2. The Splunk logging driver sends container logs to HTTP Event Collector in Splunk Enterprise and Splunk Cloud3. To use the Splunk logging driver for a specific container, you need to use the command-line flags --log-driver and --log-opt with docker run, and provide the Splunk token and URL as options3. For example:

$ docker run --log-driver=splunk --log-opt splunk-token=VALUE --log-opt splunk-url=VALUE ...

References:

• docker logs | Docker Documentation
• Logging drivers | Docker Documentation
• Splunk logging driver | Docker Documentation