DCA Docker Certified Associate (DCA) Exam Questions and Answers

= 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 correct command to list all nodes in a swarm cluster from the command line is docker node ls, not docker swarm nodes. The docker node command allows you to manage nodes in a swarm, such as listing, inspecting, updating, or removingnodes1. The docker swarm command allows you to manage the swarm itself, such as initializing, joining, leaving, or updating the swarm2. References:

Manage nodes in a swarm | Docker Docs

Manage a swarm | Docker Docs

 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.

 = The command docker container inspect nginx will display a list of volumes for the specific container named nginx. The output of the command will include a section called “Mounts” that shows the source, destination, mode, type, and propagation of each volume mounted in the container1. For example, the following output shows that the container nginx has two volumes: one is a bind mount from the host’s /var/log/nginx directory to the container’s /var/log/nginx directory, and the other is an anonymous volume created by Docker at /var/lib/docker/volumes/… and mounted to the container’s /etc/nginx/conf.d directory2.

"Mounts": [

{

"Type": "bind",

"Source": "/var/log/nginx",

"Destination": "/var/log/nginx",

"Mode": "rw",

"RW": true,

"Propagation": "rprivate"

},

{

"Type": "volume",

"Name": "f6eb3dfdd57b7e632f6329a6d9bce75a1e8ffdf94498e5309c6c81a87832c28d",

"Source": "/var/lib/docker/volumes/f6eb3dfdd57b7e632f6329a6d9bce75a1e8ffdf94498e5309c6c81a87832c28d/_data",

"Destination": "/etc/nginx/conf.d",

"Driver": "local",

"Mode": "",

"RW": true,

"Propagation": ""

}

]

docker container inspect

List volumes of Docker container

 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

 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

= 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 kubectl events deployment api is not a valid kubectl command. The correct command to display the events for a deployment object is kubectl get events --field-selector involvedObject.name=api12. This command uses a field selector to filter the events by the name of the involved object, which is the deployment called api. Alternatively, you can use kubectl describe deployment api to see the details and the events for the deployment3. References:

1: kubectl Cheat Sheet | Kubernetes

2: kubernetes - kubectl get events only for a pod - Stack Overflow

3: Kubectl: Get Events & Sort By Time - ShellHacks

= 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 usea 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 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 sequence of steps will not completely delete an image from disk in the Docker Trusted Registry. Deleting the image and removing permissions to the repository will only remove the image from the registry’s user interface and prevent unauthorized access to it. However, the image data will still remain on the registry’s storage backend until garbage collection is performed1. Garbage collection is a process that removes unused blobs (layers) from the registry’s storage2. To run garbage collection, the registry must be stopped and the command bin/registry garbage-collect /etc/docker/registry/config.yml must be executed3. Alternatively, the registry can be configured to run garbage collection automatically at regular intervals4. References:

Deleting images | Docker Documentation

Garbage collection | Docker Documentation

How to delete images from a private docker registry? | Stack Overflow

Automating garbage collection | Docker Documentation

A Kubernetes node is allocated a /26 CIDR block (64 unique IPs) for its address space. This means that the node can assign up to 64 IP addresses to its resources, such as pods and containers. If every pod on this node has exactly two containers in it, then each pod will need two IP addresses, one for each container. Therefore, the node can support up to 32 pods, since 64 / 2 = 32. The other options are incorrect because they either exceed the available IP addresses or do not account for the number of containers per pod. References:

•CIDR Blocks and Container Engine for Kubernetes - Oracle

•How kubernetes assigns podCIDR for nodes? - Stack Overflow

= Distributing seven managers across three datacenters or availability zones as 3-3-1 is not the best way to ensure high availability and fault tolerance. This is because if one of the datacenters with three managers fails, the remaining four managers will not have a quorum to elect a leader and continue the swarm operations. A quorum is the minimum number of managers that must be available to maintain the swarm state, and it is calculated as (N/2) + 1, where N is the total number of managers1. For seven managers, the quorum is five, so losing three managers will cause the swarm to lose the quorum. A better way to distribute seven managers across three datacenters or availability zones is 2-2-3, which will allow the swarm to survive the failure of any one datacenter2. References:

Administer and maintain a swarm of Docker Engines

Distribute manager nodes across multiple AZ

The set of commands docker container inspect and docker port cannot identify the published port(s) for a container. The docker container inspect command returns low-level information on a container, such as its ID, name, state, network settings, mounts, etc1. However, it does not show the port mappings between the container and the host2. The docker port command lists the port mappings or a specific mapping for a container, but it requires the container name or ID as an argument3. Therefore, to identify the published port(s) for a container, you need to use both commands together, such as docker port $(docker container inspect -f '{{.Name}}' CONTAINER)4. References:

docker container inspect | Docker Docs

How to inspect a running Docker container - Stack Overflow

docker port | Docker Docs

List port for Docker container using command line - 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

= Linux capabilities are a way of restricting the privileges of a process or a container. By default, Docker containers run with a reduced set of capabilities, which means they cannot perform certain operations that require higher privileges, such as setting the system time1. To allow a container to set the system time, you need to grant it the SYS_TIME capability by using the --cap-add option when running the container2. For example, docker run --cap-add SYS_TIME alpine date -s 12:00 would set the system time to 12:00 inside the alpine container3. References: Docker Documentation, Runtime privilege and Linuxcapabilities, Change system date time in Docker containers without impacting host, Is it possible to change time dynamically in docker container?

Node taints are a way to mark nodes in a Swarm cluster so that they can repel or attract certain containers based on their tolerations. By applying node taints to the nodes that are designated for development or production, the company can ensure that only the containers that have the matching tolerations can be scheduled on those nodes. This way, the security policy requirements can be met. Node taints are expressed as key=value:effect, where the effect can be NoSchedule, PreferNoSchedule, or NoExecute. For example, to taint a node for development only, one can run:

kubectl taint nodes node1 env=dev:NoSchedule

This means that no container will be able to schedule onto node1 unless it has a toleration for the taint env=dev:NoSchedule. To add a toleration to a container, one can specify it in the PodSpec. For example:

tolerations:

- key: "env"

operator: "Equal"

value: "dev"

effect: "NoSchedule"

This toleration matches the taint on node1 and allows the container to be scheduled on it. References:

Taints and Tolerations | Kubernetes

Update the taints on one or more nodes in Kubernetes

A Complete Guide to Kubernetes Taints & Tolerations

= 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

 = Uninstalling the ‘docker-ce’ package before installing the ‘docker-ee’ package will not upgrade Docker Engine CE to Docker Engine EE. It will only remove the existing Docker Engine CE installation and install a new Docker Engine EE installation. This means that any existing containers, images, volumes, networks, and other Docker resources will be lost. To upgrade Docker Engine CE to Docker Engine EE without losing any data, youneed to use the migration tool provided by Docker1 or follow the steps described in the Docker documentation2 or other online guides34. References:

1: Migrate to Engine 1.10 | Docker Docs

2: Install Docker Engine | Docker Docs

3: Switching Docker 18.09 Community Edition to Enterprise Engine with no …

4: How to upgrade Docker 18.09 Community Edition to Docker Enterprise 18.09

 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

 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 command ‘docker service inspect http’ will display detailed information on the ‘http’ service, such as its ID, name, mode, replicas, container spec, networks, ports, etc. However, it will not show the list of historical tasks for the service. To view the list of tasks, you need to use the command ‘docker service ps http’, which will show the ID, name, image, node, desired state, current state, and error of each task12. References:

1: docker service inspect | Docker Docs

2: docker service ps | Docker Docs

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

Docker Swarm requires more than one manager node to achieve fault tolerance12.A single manager node is not fault tolerant because if it goes down, the entire cluster goes down3.For a swarm to be fault-tolerant, it needs to have an odd number of manager nodes2.For example, a three-manager swarm tolerates a maximum loss of one manager2.Therefore, a configuration with one manager node for two worker nodes will not achieve fault tolerance for managers in a swarm12.

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 commandhas 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

The networkPolicy shown in the image is a Kubernetes yaml file that describes a networkPolicy. This networkPolicy will not block traffic from a pod bearing the tier: backend label, to a pod bearing the tier: frontend label. This is because the networkPolicy is configured to allow ingress traffic from pods with the tier: backend label to pods with the tier: frontend label. 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 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 ...

docker logs | Docker Documentation

Logging drivers | Docker Documentation

Splunk logging driver | Docker Documentation

= 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

docker service create | Docker Docs

Use overlay networks | Docker Docs

Create a service | 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

= 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 containersfrom 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

= Provisioning a Docker config object for each environment is a way to provision configuration to containers at runtime. Docker configs allow services to adapt their behaviour without the need to rebuild a Docker image. Services can only access configs when explicitly granted by a configs attribute within the services top-level element. As with volumes, configs are mounted as files into a service’s container’s filesystem1. Docker configs are supported on both Linux and Windows services2. References: Docker Documentation, Configs top-level element

 The command docker network create -d overlay -o encrypted=true  will ensure that overlay traffic between service tasks is encrypted. This command creates an overlay network with the encryption option enabled, which means that Docker will create IPSEC tunnels between all the nodes where tasks are scheduled for services attached to the overlay network. These tunnels use the AES algorithm in GCM mode and manager nodes automatically rotate the keys every 12 hours1. This way, thedata exchanged between containers on different nodes on the overlay network is secured. References:

Overlay network driver

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 thenetwork attachcommand, 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--linkoption, which is considered legacy2.For better isolation and automatic DNS resolution between containers, it’s recommended to use user-defined bridge networks12.

The networking drivers that allow you to enable multi-host network connectivity between containers are bridge, macvlan, ipvlan, and overlay. These drivers create networks that can span multiple Docker hosts, and therefore enable containers on different hosts to communicate with each other. The other drivers, such as host, user-defined, and none, create networks that are either isolated or limited to a single host. Here is a brief overview of each driver and how it supports multi-host networking:

•bridge: The bridge driver creates a network that connects containers on the same host using a Linux bridge. However, it can also be used to create a network that connects containers across multiple hosts using an external key-value store, such as Consul, Etcd, or ZooKeeper. This feature is deprecated and not recommended, as it requires manual configuration and has some limitations. The preferred driver for multi-host networking is overlay1.

•macvlan: The macvlan driver creates a network that assigns a MAC address to each container, making it appear as a physical device on the network. This allows the containers to communicate with other devices on the same network, regardless of the host they are running on. The macvlan driver can also use 802.1q trunking to create sub-interfaces and isolate traffic between different networks2.

•ipvlan: The ipvlan driver creates a network that assigns an IP address to each container, making it appear as a logical device on the network. This allows the containers to communicate with other devices on the same network, regardless of the host they are running on. The ipvlan driver can also use different modes, such as l2, l3, or l3s, to control the routing and isolation of traffic between different networks3.

•overlay: The overlay driver creates a network that connects multiple Docker daemons together using VXLAN tunnels. This allows the containers to communicate across different hosts, even if they are on different networks. The overlay driver also supports encryption, load balancing, and servicediscovery. The overlay driver is the default and recommended driver for multi-host networking, especially for Swarm services4.

= The conditions are sufficient for Kubernetes to dynamically provision a persistentVolume, because they include a default storageClass and a persistentVolumeClaim. A storageClass defines which provisioner should be used and what parameters should be passed to that provisioner when dynamic provisioning is invoked. A persistentVolumeClaim requests a specific size, access mode, and storageClass for the persistentVolume. If a persistentVolume that satisfies the claim exists or can be provisioned, the persistentVolumeClaim is bound to that persistentVolume. A default storageClass means that any persistentVolumeClaim that does not specify a storageClass will use the default one. Therefore, the conditions in the question are enough to enable dynamic provisioning of storage volumes on-demand. References:

Dynamic Volume Provisioning | Kubernetes

Persistent volumes and dynamic provisioning | Google Kubernetes Engine …

The command docker run --log-driver=splunk for every container at run time will configure a Docker container to export container logs to the logging solution. The reason is that the --log-driver option specifies the logging driver for the container, which determines how the container logs are handled1. The splunk logging driver is a plugin that sends container logs to HTTP Event Collector in Splunk Enterprise and Splunk Cloud2. To use the splunk logging driver, you also need to provide some additional options with the --log-opt flag, such as the Splunk token, URL, source, sourcetype, index, etc2. For example, to run a container with the splunk logging driver and send the logs to a Splunk instance with the URL https://splunk.example.com:8088 and the token 176fabb6-7811-4b3a-8ba0-4d49302e50f2, you can use:

docker run --log-driver=splunk --log-opt splunk-token=176fabb6-7811-4b3a-8ba0-4d49302e50f2 --log-opt splunk-url=https://splunk.example.com:8088 ...

This way, you can configure a Docker container to export container logs to Splunk, which is a centralized logging solution. Alternatively, you can also 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 Docker3. Thiswill apply the splunk logging driver to all containers unless overridden by the --log-driver option. References:

Configure logging drivers

Splunk logging driver

Set the logging driver for the Docker daemon

= SAML is a supported user authentication method for Universal Control Plane (UCP). UCP has its own built-in authentication mechanism and integrates with LDAP and Active Directory. It also supports Role Based Access Control (RBAC) and Docker Content Trust. UCP allows you to configure SAML as an authentication method and connect it to your Identity Provider (IdP). You need to provide the Entity ID and the ACS URL fromUCP to your IdP, and the SAML Sign-on URL and the x509 Certificate from your IdP to UCP12. References:

SAML | Docker Docs

Configure Single Sign-On | Docker Docs

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

 x.500 is not a supported user authentication method for Universal Control Plane (UCP). UCP supports two types of user authentication methods: built-in and external1. Built-in authentication uses the UCP’s own database to store and verify user credentials. External authentication uses an external LDAP or Active Directory service to manage user accounts and passwords1. x.500 is a standard for directory services, which can be used by LDAP or Active Directory, but it is not a user authentication method by itself2. References:

User authentication | Docker Docs

X.500 - Wikipedia

 = 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 3and 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

The action will not upgrade Docker Engine CE to Docker Engine EE. Disabling the Docker service via chkconfig or systemctl will only stop the Docker daemon from running, but it will not change the version or edition of the Docker engine1. To upgrade Docker Engine CE to Docker Engine EE, you need to follow these steps2:

Download your Docker Enterprise license from the Docker Store).

Install the docker-ee package from the Docker repository.

Restart the Docker service and verify the version and edition. References: Start or stop the Docker daemon), How to upgrade Docker 18.09 Community Edition to Docker Enterprise 18.09)

The statement is not correct. A Dockerfile does not store the Docker daemon’s configuration options. A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image1. A Dockerfile is used to build images, not to configure the Docker daemon. The Docker daemon’s configuration options are stored in a JSON file, which is usually located at /etc/docker/daemon.json on Linux systems, or C:\ProgramData\docker\config\daemon.json on Windows2. The JSON file allows you to customize the Docker daemon’s behavior, such as enabling debug mode, setting TLS certificates, or changing the data directory2. References: Dockerfile reference), Docker daemon configuration overview)

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.