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 A node is a physical or virtual machine running Docker Engine in swarm mode1. A node can be either a manager or a worker, depending on its role in the cluster1. A physical machine participating in the swarm is a node, regardless of its role or availability2. References:

How nodes work | Docker Docs

Manage nodes in a swarm | Docker Docs

 The statement is not entirely correct. The health check definition in the Docker Compose file tests for app health 18 seconds apart, not 10 seconds apart. Additionally, thecontainer will transition into “unhealthy” status after 3 failed health checks, not 2. References:

Docker Associate Resources and guides: 1 and 2

Docker Compose file reference: 3

I also noticed that you sent me an image with your message. It looks like a screenshot of a code editor with some YAML syntax highlighting. I’m not sure what you want me to do with it, but if you want me to check your code for errors or suggestions, you can use the code tool that I have. Just type code followed by the language name and the code block, and I will try to help you. For example:

code yaml version: ‘3.1’ services: app: image: app1.0 healthcheck: test: [“CMD”, “curl”, “-f”, “http://localhost:8000”] interval: 18s timeout: 3s retries: 3

The statement is not entirely correct.In Kubernetes, a service of typeClusterIProutes traffic sent to its IP address to the pods selected by its label selector1.However, the port to which the traffic is routed in the pod is determined by thetargetPortspecified in the service definition1.IftargetPortis not specified, it defaults to being the same as theportfield1. In the providedYAML snippet, there is notargetPortspecified for port 80, so we cannot confirm that the traffic will be routed to port 8080 in the pod.Therefore, without additional information about the pod configuration, we cannot verify the provided solution statement1.

 = Host is not a type of Linux kernel namespace that provides container isolation. Linux namespaces are a feature of the Linux kernel that partitions kernel resources such thatone set of processes sees one set of resources while another set of processes sees a different set of resources1. There are eight kinds of namespaces available: Mount, Process, User, Network, UTS, IPC, Cgroup, and Time1. Host is a parameter that can be used to run a container in the host’s network namespace, which means the container shares the same network interfaces and configuration as the host2. References:

Linux namespaces - Wikipedia

Network settings | Docker Documentation

= Multi-stage builds allow you to use multiple FROM statements in your Dockerfile, each starting a new stage of the build1. This can help you achieve better logical separation of Dockerfile instructions for increased readability, as well as other benefits such as smaller image size, faster build time, and reduced security risks23. By separating your Dockerfile into different stages, you can organize your instructions by their purpose, such as building, testing, or deploying your application. You can also copy only the artifacts you need from one stage to another, leaving behind the unnecessary dependencies or tools1. This can make your Dockerfile easier to read and maintain, as well as improve the performance and security of your final image. References:

Multi-stage builds | Docker Docs

What Are Multi-Stage Docker Builds? - How-To Geek

Multi-stage | Docker Docs

The command kubectl drain is the correct one to run on the node to gracefully terminate all pods on the node, while marking the node as unschedulable. This command will safely evict all the pods from the node before you perform maintenance on the node, such as installing patches or an OS upgrade1. It will respect the PodDisruptionBudgets you have specified, if any, and allow the pod’s containers to gracefully terminate1. It will also mark the node as unschedulable, so that no new pods can be scheduled on the node until it is ready1.

The other commands are not correct because:

•docker swarm leave will make the node leave the swarm cluster, but it will not affect the Kubernetes workloads on the node2.

•docker node update -availability drain will change the availability of the node to drain, which means that no new tasks can be assigned to the node, but it will not terminate the existing pods on the node3.

•kubectl cordon will mark the node as unschedulable, but it will not evict the pods on the node4.

 Docker Content Trust (DCT) is a feature that allows users to verify the integrity and publisher of container images they pull or deploy from a registry server, signed on a Notary server12. DCT does not verify or encrypt the Docker registry TLS, which is a separate mechanism for securing the communication between the Docker client and the registry server. The purpose of DCT is to ensure that the images are not tampered with or maliciously modified by anyone other than the original publisher3. References:

Content trust in Docker | Docker Docs

Docker Content Trust: What It Is and How It Secures Container Images

Automation with content trust | Docker Docs

The command docker system events --filter splunk will not configure a Docker container to export container logs to the logging solution. The command docker system events will display real-time events from the Docker daemon, such as container creation, start, stop, etc. The --filter option will filter the events by various criteria, such as type, label, name, etc. However, there is no filter for splunk, and even if there was, it would only show the events related to Splunk, not the container logs. To configure a Docker container to export container logs to Splunk, you need to use the Splunk loggingdriver, which is a plugin that sends container logs to HTTP Event Collector in Splunk Enterprise and Splunk Cloud. You can use the --log-driver and --log-opt options when creating or running a container to specify the Splunk logging driver and its options, such as the Splunk token, URL, source, sourcetype, index, etc. Alternatively, you can configure the Splunk logging driver as the default logging driver for the Docker daemon by setting the log-driver and log-opts keys in the daemon.json file and restarting Docker. References:

docker system events

Splunk logging driver

How to send Docker containers logs to Splunk?

= A Dockerfile does not store persistent data between deployments of a container. A Dockerfile is a text document that contains instructions for building a Docker image. A Docker image is a read-only template that defines the layers and configuration of a container. A Docker container is an isolated and ephemeral instance of a Docker image that runs on the Docker Engine. Docker containers are not meant to store persistent data, as any changes made to the container’s filesystem are lost when the container is removed. To store persistent data between deployments of a container, you need to use volumes or bind mounts. Volumes and bind mounts are ways to attach external storage to a container, so that the data is preserved even if the container is deleted. Volumes are managed by Docker and stored in a location on the host system that is independent of the container’s lifecycle. Bind mounts are files or directories on the host system that are mounted into a container. References:

Persist container data

Dockerfile reference

Docker MySQL Persistence

Persist the DB

Docker - Dockerfile, persist data with VOLUME

= I cannot give you a comprehensive explanation, but I can tell you that the question is about Kubernetes, not Docker. Kubernetes is an orchestrator that can manage multiple containers in a pod, which is a group of containers that share a network and storage. A livenessProbe is a way to check if a container is alive and ready to serve requests. If a container fails its livenessProbe, Kubernetes will try to restart it by default. However, you can also specify a custom action to take when a container fails its livenessProbe, such as running a script to fix the problem. This is what the solution is referring to. You will need to understand the difference between Kubernetes and Docker, and how they work together, to answer this question correctly. References: You can find some useful references for this question in the following links:

Kubernetes Pods

Configure Liveness, Readiness and Startup Probes

Docker and Kubernetes