DCA Sample Questions Answers

 The command docker service create -name dns-cache -p 53:53 -service udp dns-cache is not valid because it has some syntax errors. The correct syntax for creating a swarm service is docker service create [OPTIONS] IMAGE [COMMAND] [ARG...]. The errors in the command are:

• There should be a space between the option flag and the option value. For example, -name dns-cache should be -name dns-cache.
• The option flag for specifying the service mode is -mode, not -service. For example, -service udp should be -mode udp.
• The option flag for specifying the port mapping is --publish or -p, not -p. For example, -p 53:53 should be --publish 53:53.

The correct command for creating a swarm service that only listens on port 53 using the UDP protocol is:

docker service create --name dns-cache --publish 53:53/udp dns-cache

This command will create a service called dns-cache that uses the dns-cache image and exposes port 53 on both the host and the container using the UDP protocol.

References: : [docker service create | Docker Documentation] : [Publish ports for services | Docker Documentation]

Process ID is a type of Linux kernel namespace that provides container isolation. Linux namespaces are a feature of the Linux kernel that isolate and virtualize system resources of a collection of processes1. Process ID namespace isolates the process ID number space, meaning that processes in different PID namespaces can have the same PID2. This allows each container to have its own init process with PID 1, which is the ancestor of all other processes in the container3. Process ID namespace also affects other identifiers, such as thread IDs, parent process IDs, and session IDs4. References: Namespaces in operation), pid_namespaces), What is a PID namespace?, Linux Namespaces: PID)

= The command docker service create -name dns-cache -p 53:53 -udp dns-cache will not create a swarm service that only listens on port 53 using the UDP protocol. The reason is that the command has several syntax errors and invalid options. The correct command to create a swarm service that only listens on port 53 using the UDP protocol is docker service create --name dns-cache --publish published=53,target=53,protocol=udp dns-cache12. The command docker service create -name dns-cache -p 53:53 -udp dns-cache has the following problems:

• The option -name is not a valid option for docker service create. The valid option for specifying the service name is --name3.
• The option -p is not a valid option for docker service create. The valid option for publishing a port for a service is --publish1.
• The option -udp is not a valid option for docker service create. The valid option for specifying the protocol for a published port is protocol within the --publish option1.
• The argument 53:53 is not a valid argument for docker service create. The argument for docker service create should be the image name for the service, such as dns-cache3. The source and target of the published port should be specified in the --publish option, separated by a comma1.

Therefore, the command docker service create -name dns-cache -p 53:53 -udp dns-cache will not work as intended, and will likely produce an error message or an unexpected result. References:

• Use swarm mode routing mesh
• Manage swarm service networks
• docker service create

= Authentication is not a type of Linux kernel namespace that provides container isolation. Namespaces are a feature of the Linux kernel that partitions kernel resources such that one set of processes sees one set of resources and another set of processes sees a different set of resources. Docker uses six different namespaces to isolate containers from the host and from each other: PID, USER, UTS, IPC, MNT, and NET12. Authentication is not one of them. Authentication is a process of verifying the identity of a user or a system, which is usually done by using credentials such as passwords, tokens, or certificates. Authentication does not directly affect the isolation of containers, although it can be used to control access to them. References:

• Docker security | Docker Docs
• Securing Docker Containers with Linux Kernel Features | Infosec

They provide granular control over where pods (or in this case, containers) are scheduled, based on the labels of the nodes1. In the context of Docker Swarm, this means that you could use node affinities to ensure that development and production containers are scheduled on separate nodes, thus meeting the company’s security policy requirements12345.

 Environment variables cannot be used to schedule containers to meet the security policy requirements. Environment variables are used to pass configuration data to the containers, not to control where they run1. To schedule containers to run on separate nodes in a Swarm cluster, you need to use node labels and service constraints23. Node labels are key-value pairs that you can assign to nodes to organize them into groups4. Service constraints are expressions that you can use to limit the nodes where a service can run based on the node labels. For example, you can label some nodes as env=dev and others as env=prod, and then use the constraint --constraint node.labels.env==dev or --constraint node.labels.env==prod when creating a service to ensure that it runs only on the nodes with the matching label. References:

• 1: Environment variables in Compose | Docker Docs
• 2: Deploy services to a swarm | Docker Docs
• 3: How to use Docker Swarm labels to deploy containers on specific nodes
• 4: Manage nodes in a swarm | Docker Docs
• [5]: Swarm mode routing mesh | Docker Docs
• [6]: Docker Swarm - How to set environment variables for tasks on various nodes

The statement is incorrect about the health check definition based on the Docker Compose file provided. According to the Docker documentation, a health check can be specified in a Dockerfile or a Docker Compose file to tell Docker how to test a container to check that it is still working. This can be done with options such as interval, timeout, and retries. In this case, the health checks are not set to test five seconds apart but rather ten seconds apart (interval: 10s). The retries: 3 indicates that if the health check fails, Docker will try three times before considering the container unhealthy1.

The command docker run -v /data:/mydata -mode readonly ubuntu will not mount the host’s /data1 directory to the ubuntu container in read-only mode. The command has several errors that prevent it from working correctly. First, the host directory should be /data1 instead of /data, as specified in the question. Second, the option flag should be --mode instead of -mode, and it should be placed before the image name. Third, the mode value should be ro instead of readonly, as per the Docker documentation1. The correct command should be docker run -v /data1:/mydata --mode ro ubuntu, which will mount the host’s /data1 directory as a read-only volume at /mydata inside the container1. References:

• docker run | Docker Docs

 A DTR security scan will detect licenses for known third party binary components. This is because DTR security scan uses a database of vulnerabilities and licenses that is updated regularly from Docker Server1. DTR security scan can identify the components and versions of the software packages that are present in the image layers, and report any known vulnerabilities or licenses associated with them2. This can help users to comply with the licensing requirements and avoid potential legal issues3. References:

• Set up vulnerability scans | Docker Docs
• Scan images for vulnerabilities | Docker Docs
• Container Security 101 — Scanning images for Vulnerabilities

n: = Using the DTR web UI to make all tags in the repository immutable is not a good way to prevent an image, such as ‘nginx:latest’, from being overwritten by another user with push access to the repository. This is because making all tags immutable would prevent any updates to the images in the repository, which may not be desirable for some use cases. For example, if a user wants to push a new version of ‘nginx:latest’ with a security patch, they would not be able to do so if the tag is immutable. A better way to prevent an image from being overwritten by another user is to use the DTR web UI to create a promotion policy that restricts who can push to a specific tag or repository1. Alternatively, the user can also use the DTR API to create a webhook that triggers a custom action when an image is pushed to a repository2. References:

• Prevent tags from being overwritten | Docker Docs
• Create webhooks | Docker Docs

 The command docker service create -name dns-cache -p 53:53 -constraint networking.protocol.udp=true dns-cache will not create a swarm service that only listens on port 53 using the UDP protocol. This command has several syntax errors and invalid options. The correct syntax for creating a swarm service is docker service create [OPTIONS] IMAGE [COMMAND] [ARG...]1. The correct options for specifying the service name, port mapping, and network mode are --name, --publish, and --network respectively1. The option -constraint is not a valid option for the docker service create command. To create a swarm service that only listens on port 53 using the UDP protocol, you need to use the --publish option with the protocol=udp and mode=host parameters, and the --network option with the host value23. For example, the following command creates a global service using host mode and bypassing the routing mesh2:

docker service create --name dns-cache \

--publish published=53,target=53,protocol=udp,mode=host \

--mode global \

--network host \

dns-cache

References:

• 1: docker service create | Docker Docs
• 2: Use swarm mode routing mesh | Docker Docs
• 3: Manage swarm service networks | Docker Docs

= A DTR security scan will detect private keys copied to the image. DTR security scan is a feature of Docker Trusted Registry (DTR) that scans images to detect any security vulnerability1. DTR security scan uses the open source tool SecretScanner2 to find unprotected secrets in container images or file systems. SecretScanner can match the contents of images against a database of approximately 140 secret types, including private keys3. Therefore, if an image contains private keys, DTR security scan will report them as potential secrets and alert the user to remove them from the image. References:

• Scan images for vulnerabilities | Docker Docs
• GitHub - deepfence/SecretScanner: :unlock: Find secrets and passwords …
• SecretScanner/deepfence_secret_scanner.py at main · deepfence/SecretScanner

= Scanning images to detect any security vulnerability is a function of UCP. UCP integrates with Docker Trusted Registry (DTR), which is a secure and scalable image storage solution1. DTR has a built-in image scanning feature that checks every layer of every image for known vulnerabilities and displays the results in the UCP web UI2. This helps users to identify and fix any security issues before deploying their applications. UCP also allows users to enforce security policies and only allow running applications that use images that are scanned and free of vulnerabilities3. References:

• Docker Trusted Registry | Docker Docs
• Scan images for vulnerabilities | Docker Docs
• Manage images | Docker Docs

= 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

 Resource reservation is a feature that allows you to specify the amount of CPU and memory resources that a service or a container needs. This helps the scheduler to place the service or the container on a node that has enough available resources. However, resource reservation does not control which node the service or the container runs on, nor does it enforce any separation or isolation between different services or containers. Therefore, resource reservation cannot be used to schedule containers to meet the security policy requirements.

References:

• [Reserve compute resources for containers]
• [Docker Certified Associate (DCA) Study Guide]

https://docs.docker.com/config/containers/resource_constraints/

https://success.docker.com/certification/study-guides/dca-study-guide

= Control Groups (cgroups) are a feature of the Linux kernel that allow you to limit the access processes and containers have to system resources such as CPU, memory, disk I/O, network, and so on1. Control groups allow Docker Engine to share available hardware resources to containers and optionally enforce limits and constraints2. For example, you can use the docker run command to specify the CPU shares, memory limit, or network bandwidth for a container3. By using cgroups, you can ensure that each container gets the resources it needs and prevent resource starvation or overcommitment4. References:

• Lab: Control Groups (cgroups) | dockerlabs
• Runtime metrics | Docker Docs
• Docker run reference | Docker Docs
• Docker resource management via Cgroups and systemd

When content trust is enabled, Docker blocks any command that operates on unsigned images, such as docker service create. This is because Docker Content Trust (DCT) allows users to verify the integrity and publisher of specific image tags, using digital signatures stored on a Notary server. If an image tag is not signed, or the signature cannot be verified, Docker will refuse to pull, run, or build with that image. Therefore, if myorg/myimage:1.0 is unsigned, Docker will block the command docker service create myorg/myimage:1.0 and display an error message. References:

• Content trust in Docker
• Docker Content Trust: What It Is and How It Secures Container Images
• Automation with content trust

= The command docker service create --network --secure will not ensure that overlay traffic between service tasks is encrypted. This is because the --secure option is not a valid option for the docker service create command1. To ensure that overlay traffic between service tasks is encrypted, you need to use the --opt encrypted option when creating the overlay network with the docker network create command2. For example, to create an encrypted overlay network named my-net, you can use the following command:

docker network create --driver overlay --opt encrypted my-net

Then, you can use the --network my-net option when creating the service with the docker service create command3. For example, to create a service named my-service using the nginx image and the my-net network, you can use the following command:

docker service create --name my-service --network my-net nginx

References:

• docker service create | Docker Docs
• Use overlay networks | Docker Docs
• Create a service | Docker Docs

= The command docker network create -d overlay --secure  will not ensure that overlay traffic between service tasks is encrypted. The --secure option is not a valid flag for the docker network create command1. To enable encryption for an overlay network, you need to use the --opt encrypted flag instead23. This will create IPSEC tunnels between the nodes where the service tasks are scheduled, using the AES algorithm in GCM mode2. You can verify if an overlay network is encrypted by checking if the IPSEC tunnels were created using tools like netstat4. References:

• 1: docker network create | Docker Docs
• 2: Encrypt traffic on an overlay network | Docker Docs
• 3: Overlay network driver | Docker Docs
• 4: Docker: How to verify if an overlay network is encrypted - Stack Overflow

= 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

 = 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

= The ‘docker inspect’ command returns low-level information on Docker objects, such as containers, images, networks, etc1 It does not show the list of historical tasks for a service. To view the list of tasks for a service, you need to use the ‘docker service ps’ command 2. For example, to see the tasks for the ‘http’ service, you would run ‘docker service ps http’. This would show the ID, name, image, node, desired state, current state, and error of each task 2. References: Docker inspect | Docker Docs, Docker service ps | Docker Docs

 The set of commands docker port inspect and docker container inspect will not identify the published port(s) for a container. The reason is that there is no such command as docker port inspect. The correct command to inspect the port mappings of a container is docker port1. The command docker container inspect can also show the port mappings of a container, but it will display a lot of other information as well, so it is not as concise as docker port2. To identify the published port(s) for a container, you can use either of these commands:

• docker port CONTAINER will list all the port mappings of the container1.
• docker port CONTAINER PRIVATE_PORT will list only the port mapping of the specified private port of the container1.
• docker container inspect --format=' { {.NetworkSettings.Ports}}' CONTAINER will list only the port mappings of the container in a JSON format23.

For example, if you have a container named web that publishes port 80 to port 8080 on the host, you can use any of these commands to identify the published port:

$ docker port web

80/tcp -> 0.0.0.0:8080

$ docker port web 80

0.0.0.0:8080

$ docker container inspect --format=' { {.NetworkSettings.Ports}}' web

map[80/tcp:[map[HostIp:0.0.0.0 HostPort:8080]]]

References:

• docker port
• docker container inspect
• How can I grab exposed port from inspecting docker container?

The command docker inspect nodes will not list all nodes in a swarm cluster from the command line. This is because docker inspect requires one or more names or IDs of the objects to inspect1. To list all nodes in a swarm cluster, you need to use the command docker node ls2, which will display information such as node ID, hostname, status, availability, and role3. References:

• docker inspect | Docker Docs
• docker node ls | Docker Docs
• How to list nodes in a Docker swarm cluster

= 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

Adding a new user to the engineering organization in DTR will not automatically grant them read/write access to the engineering/api repository. This is because the repository permissions are not inherited from the organization level, but are configured separately for each repository. Therefore, to grant read/write access to the new user, you need to add them directly to the list of users with read/write access under the repository’s Permissions tab. References:

• Docker Trusted Registry - Manage access to repositories
• Docker Certified Associate (DCA) Study Guide - Domain 3: Image Creation, Management, and Registry

https://docs.docker.com/ee/dtr/user/manage-repos/#manage-access-to-repositories

https://success.docker.com/certification/study-guides/dca-study-guide#domain-3-image-creation-management-and-registry-20-of-exam

 The command docker inspect http will not enable you to view the list of historical tasks for the service. The docker inspect command returns low-level information on Docker objects, such as containers, images, networks, or volumes1. It does not work on services, which are higher-level objects that define the desired state of a set of tasks2. To view the list of historical tasks for a service, you need to use the docker service ps command, which shows the current and previous states of each task, as well as the node, error, and ports3. References:

• docker inspect | Docker Docs
• Services | Docker Docs
• docker service ps | Docker Docs

n: = Using the DTR web UI to make all tags in the repository immutable is not a good way to prevent an image, such as ‘nginx:latest’, from being overwritten by another user with push access to the repository. This is because making all tags immutable would prevent any updates to the images in the repository, which may not be desirable for some use cases. For example, if a user wants to push a new version of ‘nginx:latest’ with a security patch, they would not be able to do so if the tag is immutable. A better way to prevent an image from being overwritten by another user is to use the DTR web UI to create a promotion policy that restricts who can push to a specific tag or repository1. Alternatively, the user can also use the DTR API to create a webhook that triggers a custom action when an image is pushed to a repository2. References:

• Prevent tags from being overwritten | Docker Docs
• Create webhooks | Docker Docs

 = I cannot give you a comprehensive explanation, but I can tell you that the question is about Docker Swarm, which is a native clustering solution for Docker1. Docker Swarm allows you to create a group of Docker hosts, called nodes, that work together as a single virtual system1. Nodes can be either managers or workers. Managers are responsible for maintaining the cluster state and orchestrating services, while workers are responsible for running the tasks assigned by managers1. A swarm cluster should have an odd number of managers to avoid split-brain scenarios and ensure high availability2. However, having too many managers can also degrade performance and increase the risk of failures2. Therefore, the recommended number of managers is between 3 and 72. The solution suggests distributing the 7 managers across 3 datacenters or availability zones as 5-1-1, meaning 5 managers in one zone, and 1 manager in each of the other two zones. This may not be the optimal distribution, as it creates a single point of failure in the zone with 5 managers. If that zone goes down, the remaining 2 managers will not be able to form a quorum and the cluster will become unavailable3. A better distribution may be 3-2-2 or 2-2-2-1, as they provide more redundancy and resilience3. You will need to understand how Docker Swarm works and how to design a highly available cluster to answer this question correctly. References: You can find some useful references for this question in the following links:

• Docker Swarm overview
• Swarm mode key concepts
• Swarm mode best practices

= Docker will block this command if you configure the local Docker engine to enforce content trust by setting the environment variable DOCKER_CONTENT_TRUST=1. This means that you can only pull, run, or build with trusted images that have been signed using Docker Content Trust (DCT)1. DCT is a feature that allows you to use digital signatures to verify the integrity and the publisher of specific image tags2. If myorg/myimage:1.0 is unsigned, it means that it does not have a valid signature from the image publisher or a trusted delegate. Therefore, Docker will not allow you to build an image from a Dockerfile that begins with FROM myorg/myimage:1.0, as it cannot verify the source or the content of the base image. You will get an error message like this:

No valid trust data for 1.0

To avoid this error, you need to either disable DCT by setting DOCKER_CONTENT_TRUST=0, or use a signed image tag as the base image in your Dockerfile3. 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 ps http’ is not the correct command to view the list of historical tasks for a service in Docker1. The ‘docker ps’ command is used to list containers1. If you want to view the list of historical tasks for a service, you should use the ‘docker service ps’ command2. This command lists the tasks that are running as part of the specified services and also shows the task history2. Therefore, to view the list of historical tasks for the ‘http’ service, you should use the command 'docker service ps http’2.

= This is a function of UCP, as it integrates with Docker Trusted Registry (DTR) to provide built-in security and access control for your images. DTR allows you to enforce security policies and only allow running applications that use Docker images you know and trust. You can sign your images with Docker Content Trust (DCT) to prove their authenticity and integrity. UCP will verify the signatures of the images before deploying them to the cluster12. References:

• Universal Control Plane overview | dockerlabs
• How to Sign Your Docker Images to Increase Trust - How-To Geek

The provided Kubernetes NetworkPolicy YAML configuration indicates that the policy applies to pods with the label tier: backend in the default namespace1. The ingress rule allows traffic from pods with the label tier: api1. Therefore, a request issued from a pod bearing the tier: api label to a pod bearing the tier: backend label will not be blocked by this networkPolicy1. This is because the networkPolicy explicitly allows ingress from pods with the tier: api label1. For more information on Kubernetes Network

 A liveness probe is a mechanism for indicating your application’s internal health to the Kubernetes control plane. Kubernetes uses liveness probes to detect issues within your pods. When a liveness check fails, Kubernetes restarts the container in an attempt to restore your service to an operational state1. Therefore, the action taken by the orchestrator to fix the unhealthy container is to restart it. References:

• Content trust in Docker | Docker Docs
• Docker Content Trust: What It Is and How It Secures Container Images
• A Practical Guide to Kubernetes Liveness Probes | Airplane

The answer depends on whether you want to access the container from the host’s network or from other containers on the same network. EXPOSE and --publish have different effects on the container’s port visibility. References: Docker run reference, Dockerfile reference, Docker networking overview

To trust a self-signed certificate from a Docker Trusted Registry (DTR), you need to place the certificate in the appropriate location on all cluster nodes and restart the Docker daemon. There are two possible locations for the certificate, depending on your OS and Docker version1:

•/etc/docker/certs.d/dtr.example.com/ca.crt: This is the preferred location for Linux systems and Docker versions 1.13 and higher. This directory is scanned by Docker for certificates and keys for each registry domain2.

•Your OS certificate path: This is the fallback location for other OSes and Docker versions. You need to find the certificate store for your OS and copy the certificate there. You also need to trust the certificate system-wide, which may require additional steps depending on your OS3.

The other options are not correct because:

•Passing '-trust-certificate ca.crt to the Docker client is not a valid option. There is no such flag for the Docker client4.

•Placing the certificate in ‘/etc/docker/dtr/dtr.example.com.crt’ is not a valid location. The certificate should be in the /etc/docker/certs.d directory, not the /etc/docker/dtr directory1.

•Passing – insecure-registry to the Docker client is not a recommended option. This flag disables the TLS verification for the registry, which makes the communication insecure and vulnerable to attacks.

References:

•Use self-signed certificates | Docker Docs

•Test an insecure registry | Docker Docs

•Add TLS certificates as a trusted root authority to the host OS | Docker Docs

•docker | Docker Docs

•[Deploy a registry server | Docker Docs]

= The command ‘docker run --volume /data:/mydata:ro ubuntu’ will mount the host’s ‘/data’ directory to the ubuntu container in read-only mode. The --volume or -v option allows you to mount a host directory or a file to a container as a volume1. The syntax for this option is:

-v|--volume=[host-src:]container-dest[:]

The host-src can be an absolute path or a name value. The container-dest must be an absolute path. The options can be a comma-separated list of mount options, such as ro for read-only, rw for read-write, z or Z for SELinux labels, etc1. In this case, the host-src is /data, the container-dest is /mydata, and the option is ro, which means the container can only read the data from the volume, but not write to it2. This can be useful for sharing configuration files or other data that should not be modified by the container3. References:

• Use volumes | Docker Documentation
• Docker run reference | Docker Documentation
• Docker - Volumes - Tutorialspoint

 = 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 that one 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

The statement is correct. In the provided Docker Compose file, a health check is defined for the service “app”. It uses curl to perform a health check on the application every 10 seconds (as specified by the “interval” parameter). If it fails three times (as specified by the “retries” parameter), then the container is marked as unhealthy. A health check is a way of checking the health of a running container and applying actions based on the result1. It can be used to monitor the status of the service and restart the container if it becomes unhealthy2. References:

• Compose file version 3 reference | Docker Docs
• Docker Compose & Health Checks – Gabriel’s World

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.

 Namespaces in Kubernetes are a way to create and organize virtual clusters within physical clusters where we can isolate a group of resources within a single cluster1. Namespace helps to organize resources such as pods, services, and volumes within the cluster2. By creating one namespace for each application and adding all the resources to it, the development teams can ensure that Kubernetes-specific resources, such as secrets, are grouped together for each application. This also provides a scope for names, a mechanism to attach authorization and policy, and a way to divide cluster resources between multiple users3. References:

• Namespaces | Kubernetes
• Kubernetes - Namespaces - GeeksforGeeks
• Namespaces Walkthrough | Kubernetes

To configure a Docker container to export container logs to a logging solution such as Splunk, you need to set the log-driver and log-opt keys to values for the logging solution in the daemon.json file. This will enable the Splunk logging driver, which sends container logs to HTTP Event Collector in Splunk Enterprise and Splunk Cloud1. You can also use the command-line flags --log-driver and --log-opt with docker run to use the Splunk driver for a specific container1. References:

• Splunk logging driver | Docker Docs
• Collecting docker logs and stats with Splunk | Splunk
• How to send Docker containers logs to Splunk?
• Splunk Logging Driver for Docker | Splunk

= Creating a collection for each application is not a way to accomplish this. A collection is a term used by Ansible to describe a package of related content that can be used to automate the management of Kubernetes resources1. A collection is not a native Kubernetes concept and does not group resources together within the cluster. To group Kubernetes-specific resources, such as secrets, for each application, you need to use namespaces. A namespace is a logical partition of the cluster that allows you to isolate resources and apply policies to them2. You can create a namespace for each application and store the secrets and other resources in that namespace. This way, you can prevent conflicts and limit access to the resources of each application. To create a namespace, you can use the kubectl create namespace command or a yaml file2. To create a secret within a namespace, you can use the kubectl create secret command with the --namespace option or a yaml file with the metadata.namespace field3. References:

• Kubernetes Collection for Ansible - GitHub
• Namespaces | Kubernetes
• Secrets | Kubernetes
• Managing Secrets using kubectl | Kubernetes

= Simultaneously creating and tagging multiple images is not an advantage of multi-stage builds. Multi-stage builds are a feature that allows you to use multiple FROM statements in your Dockerfile, each starting a new stage of the build1. You can selectively copy artifacts from one stage to another, leaving behind everything you don’t want in the final image. This helps you to optimize the size and security of your images, as well as to simplify your build process12. However, multi-stage builds do not create or tag multiple images at once. Each Dockerfile produces one final image, which is the result of the last stage in the Dockerfile1. If you want to create and tag multiple images from a single Dockerfile, you need to use the --target option with the docker build command, and specify the name of the stage you want to build and tag3. References:

• Multi-stage builds | Docker Docs
• What Are Multi-Stage Docker Builds? - How-To Geek
• Stop at a specific build stage | Docker Docs

= The command ‘docker swarm nodes’ is not a valid command to list all nodes in a swarm cluster from the command line. The correct command is docker node ls, which can be run on a manager node to view the details of all the nodes in the swarm1. The docker swarm command is used to manage the swarm itself, not the nodes. For example, you can use docker swarm init to create a new swarm, or docker swarm join to add a node to an existing swarm2. References:

• Manage nodes in a swarm | Docker Docs
• docker swarm | Docker Docs

= The action of using --link to access the container on the bridge network does not accomplish the goal of creating a container that is reachable from its host’s network. The --link option allows you to connect containers that are running on the same network, but it does not expose the container’s ports to the host1. To create a container that is reachable from its host’s network, you need to use the --network host option, which attaches the container to the host’s network stack and makes it share the host’s IP address2. Alternatively, you can use the --publish or -p option to map the container’s ports to the host’s ports3.

References: : Legacy container links | Docker Documentation : Networking using the host network | Docker Documentation : docker run reference | Docker Documentation

 Deleting the /var/lib/docker directory will not upgrade Docker Engine CE to Docker Engine EE. It will only remove all the data stored by Docker, such as images, containers, volumes, and networks. This can cause data loss and disrupt the running services. To upgrade from Docker Engine CE to Docker Engine EE, you need to follow the official instructions from Docker, which involve uninstalling the CE package and installing the EE package. You also need to have a valid license to use Docker Engine EE. References:

• Upgrading Docker CE to EE for the Impatient — Part I
• Install Docker Engine
• Moving from docker ce to docker-EE - Stack Overflow