Practice Free DCA Docker Certified Associate (DCA) Exam Exam Questions Answers With Explanation

The set of commands docker container inspect and docker port can identify the published port(s) for a container. The docker container inspect command returns low-level information about a container, including its network settings and port bindings1. The docker port command lists port mappings or a specific mapping for the container2. Both commands can show which host port is mapped to which container port, and the protocol used. For example, docker container inspect -f '{{.NetworkSettings.Ports}}' container_name will show the port bindings for the container_name3. Similarly, docker port container_name will show the port mappings for the container_name. References:

docker container inspect

docker port

How to Expose and Publish Ports in Docker

[How to obtain the published ports from within a docker container?]

= 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

= 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 commandwith 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

 The mnt namespace is not disabled by default and does not need to be enabled at Docker engine runtime to be used. The mnt namespace is one of the six Linux kernel namespaces that Docker uses to isolate containers from the host system1. The mnt namespace allows a container to have its own set of mounted filesystems and root directories, which are different from the host’s2. This means that a container can access only the files and directories that are mounted inside its namespace, and not the ones that are mounted on the host or other containers. The mnt namespace is created automatically when a container is started, and it is destroyed when the container stops3.

Isolate containers with a user namespace | Docker Docs

The mnt namespace - Docker Cookbook - Second Edition

Container security fundamentals part 2: Isolation & namespaces

mnt is not a Linux kernel namespace that is disabled by default and must be enabled at Docker engine runtime to be used. According to the official documentation, mnt is one of the namespaces that are enabled by default when using namespaces for isolation.

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.

= The command docker run -add-volume /data /mydata -read-only ubuntu will not mount the host’s /data directory to the ubuntu container in read-only mode. The reason is that the command has several syntax errors and invalid options. The correct command to mount a host directory to a container in read-only mode is docker run --mount type=bind,source=/data,target=/mydata,readonly ubuntu12. The command docker run -add-volume /data /mydata -read-only ubuntu has the following problems:

The option -add-volume is not a valid option for docker run. The valid options for mounting a volume or a bind mount are --mount or -v12.

The option -read-only is not a valid option for docker run. The valid option for making the container’s root filesystem read-only is --read-only3. However, this option will not affect the mounted volumes or bind mounts, which have their own readonly option12.

The argument /data /mydata is not a valid argument for docker run. The argument for docker run should be the command to run inside the container, such as bash or ping4. The source and target of the volume or bind mount should be specified in the --mount or -v option, separated by a colon12.

Therefore, the command docker run -add-volume /data /mydata -read-only ubuntu will not work as intended, and will likely produce an error message or an unexpected result. References:

Use bind mounts

Use volumes

docker run

Docker run reference

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 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

 = The command kubectl logs deployment api does not display the events table for the deployment object, but rather the logs of the pods that belong to the deployment. To see the events table, you need to use the command kubectl describe deployment api, which shows the details of the deployment, including the events1. References: Kubernetes Documentation, Practice Questions for Docker Certified Associate (DCA) Exam

 = (Please check the official Docker site for the comprehensive explanation) References: (Some possible references from the web search results are)

[Docker Swarm Tutorial: Manage Multiple Docker Hosts - Edureka]

[Docker Swarm - Docker Documentation]

[Docker Swarm Tutorial: How to Manage Multiple Docker Hosts - Linux Hint]

[Docker Swarm Tutorial: How to Manage Multiple Docker Hosts - YouTube]

[Docker Swarm Tutorial: How to Manage Multiple Docker Hosts - Medium]

I hope this helps you in your exam preparation. Good luck!????

PAM is not a supported user authentication method for Universal Control Plane. According to the official documentation, the supported methods are LDAP, Active Directory, SAML 2.0, and local users.

The statement is incorrect because it does not mention the service name or the clusterIP address. Traffic sent to the IP of any pod with the label app: nginx on port 8080 will not be forwarded to port 80 in that pod, unless the traffic is coming from another pod within the same cluster that knows the pod IP. To access the service from outside the cluster, the traffic must be sent to the clusterIP address of the service, which is assigned by Kubernetes, and the port 8080 of the service, which is defined in the yaml file. The service will then forward the traffic to one of the selected pods on port 80.

To summarize, the correct statement should be:

Traffic sent to the clusterIP address of the service dca on port 8080 will be forwarded to port 80 in one of the pods with the label app: nginx.

 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

= 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

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 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

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

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 asinterval,timeout, andretries. In this case, the health checks are not set to test five seconds apart but rather ten seconds apart (interval: 10s).Theretries: 3indicates that if the health check fails, Docker will try three times before considering the container unhealthy1.

= Storage 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. The feature works by having the same namespace for a set of resources and processes, but those namespaces refer to distinct resources. Since kernel version 5.6, there are 8 kinds of namespaces: mount, UTS, IPC, PID, network, user, cgroup, and time2. Each kind of namespace isolates a different aspect of the system, such as file system mounts, host and domain names, inter-process communication, process IDs, network interfaces, user and group IDs, cgroups, and system time2. Storage is not one of them. References:

1: Linux namespaces - Wikipedia

2: Namespaces — The Linux Kernel documentation

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 only the tier:frontend label to a pod bearing the tier: backend label will be blocked by this networkPolicy1.This is because the networkPolicy does not have a rule allowing ingress from pods with the tier: frontend label1. For more information on Kubernetes NetworkPolicies, you can refer to theKubernetes Documentation on Network Policies.

 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 networkPolicy will block the traffic from a pod bearing the tier: backend label, to a pod bearing the tier: frontend label. The networkPolicy specifies that only pods with the tier: frontend label can access the pods with the app: guestbook-api and tier: backend labels on port 801. Any other traffic to the backend pods will be denied by default2. Therefore, a request issued from a pod bearing the tier: backend label, to a pod bearing the tier: frontend label will be blocked by the networkPolicy. References: Connect a Frontend to a Backend Using Services), Network Policies)

 = 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

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)

= This is not how the seven managers should be distributed across three datacenters or availability zones. A swarm cluster is a group of Docker hosts that are running in swarm mode and act as managers or workers1. A manager node is responsible for maintainingthe swarm state and orchestrating the services2. A swarm cluster needs a quorum of managers to operate, which means a majority of managers must be available and able to communicate with each other3.

The problem with distributing the seven managers as 4-2-1 is that it creates a split-brain scenario, where the cluster can lose the quorum if one datacenter or availability zone fails. For example, if the datacenter with four managers goes down, the remaining three managers will not have enough votes to form a quorum, and the cluster will stop functioning. Similarly, if the datacenter with one manager goes down, the cluster will lose the tie-breaking vote and will not be able to elect a leader4.

A better way to distribute the seven managers across three datacenters or availability zones is to use 3-2-2, which ensures that the cluster can tolerate the failure of any one datacenter or availability zone and still maintain the quorum. For example, if the datacenter with three managers goes down, the remaining four managers will have enough votes to form a quorum and elect a leader. Similarly, if the datacenter with two managers goes down, the remaining five managers will have enough votes to form a quorum and elect a leader4. References:

Swarm mode overview | Docker Docs

Administer and maintain a swarm of Docker Engines | Docker Docs

Raft consensus in swarm mode | Docker Docs

Docker Swarm: How to distribute managers across availability zones? - Stack Overflow

The command docker Is -a does not list all nodes in a swarm cluster from the command line, but rather lists all containers, both running and stopped, on the current node1. To list all nodes in a swarm cluster, you need to use the command docker node ls from a manager node2. This command shows the node ID, hostname, status, availability, and manager status for each nodein the swarm2. You can also use the --filter option to filter the output based on various criteria2. References: Docker Documentation, docker node ls

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

 = The solution will not configure a Docker container to export container logs to the logging solution, such as Splunk. The command docker system events --filter splunk is not a valid command to send logs to a remote destination. The --filter option for docker system events only accepts the following keys: container, daemon, event, image, label, network, plugin, type, and volume1. splunk is not a valid key for filtering events. To configure a Docker container to export container logs to a logging solution, such as Splunk, you need to use the --log-driver and --log-opt options when creating or running the container2. For example, to use the Splunk logging driver, you can use the following command:

docker run --log-driver=splunk --log-opt splunk-token=176FCEBF-4CF5-4EDF-91BC-703796522D20 --log-opt splunk-url=https://splunkhost:8088 ...

This command will send the container logs to the Splunk HTTP Event Collector (HEC) endpoint specified by the splunk-url option, using the authentication token provided by the splunk-token option3. You can also use other logging drivers, such as syslog, fluentd, gelf, etc., depending on your logging solution4. References:

1: docker system events | Docker Docs

2: Configure logging drivers | Docker Docs

3: Splunk logging driver | Docker Docs

4: Supported logging drivers | Docker Docs

 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

 = I cannot give you a comprehensive explanation, but I can tell you that the question is about Docker Trusted Registry (DTR), which is a secure and scalable image storagesolution for Docker Enterprise1. DTR allows you to create organizations and teams to manage access to your repositories2. Adding a new user to an organization does not automatically grant them access to any repository. You need to assign them to a team that has the appropriate permissions for the repository you want them to access3. Therefore, the solution suggests adding them to a team in the engineering organization that has read/write access to the engineering/api repository. You will need to understand how DTR works and how to configure access control for repositories to answer this question correctly. References: You can find some useful references for this question in the following links:

Docker Trusted Registry overview

Create and manage organizations and teams

Manage access to repositories

 Better caching when building Docker images is an advantage of multi-stage builds. 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 improve the caching efficiency of your Docker images, as each stage can use its own cache layer2. For example, if you have a stage that installs dependencies and another stage that compiles your code, you can reuse the cached layer of the dependencies stage if they don’t change, and only rebuild the code stage if it changes2. This can save you time and bandwidth when building and pushing your images. References:

Multi-stage builds | Docker Docs

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

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.

= 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?

= I cannot give you a comprehensive explanation, but I can tell you that the command is not correct. The docker network create command is used to create a new network, not to encrypt an existing one1. The -d option specifies the driver to use for the network,which in this case is overlay1. The overlay driver enables multi-host networking for swarm services2. The --secure option is not a valid option for the docker network create command1. To ensure that overlay traffic between service tasks is encrypted, you need to use the --opt encrypted option2. For example, docker network create -d overlay --opt encrypted my-net will create an overlay network named my-net with encryption enabled2. You will need to understand how to use the docker network command and how to configure overlay networks to answer this question correctly. References:

Docker network create command documentation: 1

Overlay network encryption documentation: 2

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 3, 4, 5, 6, and [7]. Good luck!????

 Control Groups (cgroups) are a Linux kernel feature that allow you to limit, modify, or allocate resources as needed1. Docker uses cgroups to isolate the resources used bycontainers, such as CPU, memory, disk I/O, network, etc2. This means that each container can have its own set of resource limits and constraints, and that the containers cannot interfere with each other or with the host system2. This improves the security, performance, and reliability of the containers and the system as a whole. References:

Lab: Control Groups (cgroups) | dockerlabs

Docker run reference | Docker Docs

While removing push access from all other users can prevent an image from being overwritten, it’s not the only way and might not be the most efficient or practical solution, especially in a collaborative environment. Docker Trusted Registry (DTR) provides a feature called ‘Immutable Tags’ which can be used to prevent an image, such as ‘nginx:latest’, from being overwritten. Once a tag is marked as immutable, DTR will prevent any user from pushing the same tag to the repository, thus preserving the image. This allows for better version control and prevents accidental overwrites. Therefore, the solution to prevent an image from being overwritten is not just to remove push access from all other users, but to use the features provided by DTR like ‘Immutable Tags’.

= The role of Control Groups (cgroups) when used with a Docker container is not role-based access control to clustered resources. Cgroups are a feature of the Linux kernelthat allow you to limit, manage, and isolate resource usage of collections of processes running on a system1. Resources are CPU time, system memory, network bandwidth, or combinations of these resources, and so on2. Cgroups allow Docker Engine to share available hardware resources to containers and optionally enforce limits and constraints3. Cgroups can help avoid “noisy neighbor” issues and improve the performance and security of containers4. Role-based access control (RBAC) is a different concept that refers to controlling access to resources based on the roles of individual users within an organization5.

 Lab: Control Groups (cgroups) | dockerlabs : Container security fundamentals part 4: Cgroups | Datadog Security Labs : Docker Namespace Vs Cgroup. Namespace and Cgroup | by MrDevSecOps - Medium : Role-based access control - Wikipedia : Control groups (cgroups) - Learn Docker - Fundamentals of Docker 18.x …

Creating one pod and adding all the resources needed for each application is not a good way to accomplish the goal of grouping Kubernetes-specific resources for each application. This is because pods are the smallest unit of a Kubernetes application, and they are designed to run a single container or a set of tightly coupled containers that share the same network and storage resources1. Pods are ephemeral and can be created and destroyed by the Kubernetes system at any time. Therefore, putting multiple applications in one pod would make them harder to manage, scale, and update independently. A better way to accomplish the goal is to use namespaces, which are logical clusters within a physical cluster that can isolate resources, policies, and configurationsfor different applications2. Namespaces can also help organize secrets, which are Kubernetes objects that store sensitive information such as passwords, tokens, and keys3. References:

Pods | Kubernetes

Namespaces | Kubernetes

Secrets | Kubernetes

= 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 enable mutual TLS between the Docker client and server, which is a different security mechanism that ensures encrypted and authenticated communication between the client and the server3. DCT is based on digital signatures and The Update Framework (TUF) to provide trust over arbitrary collections of data1. References:

Content trust in Docker | Docker Docs

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

Protect the Docker daemon socket | Docker Docs

= 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 purpose of Docker Content Trust is to sign and verify image tags using digital signatures for data sent to and received from remote Docker registries12. This allows client-side or runtime verification of the integrity and publisher of specific image tags, ensuring the provenance and security of container images34. References:

1: Content trust in Docker | Docker Docs

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

3: Docker Content Trust in Azure Pipelines - Azure Pipelines

4: 4.5 Ensure Content trust for Docker is Enabled | Tenable®

= The strategy of creating a PersistentVolume with hostPath and a PersistentVolumeClaim to mount the /data directory on your laptop into a container will not work, because hostPath volumes are only suitable for single node testing or development. They are not portable across nodes and do not support dynamic provisioning. If you want to mount a local directory from your laptop into a Kubernetes pod, you need to use a different type of volume, such as NFS, hostPath CSI, or minikube. Alternatively, you can copy the files from your laptop to the container using kubectl cp command. References:

Volumes | Kubernetes

Configure a Pod to Use a PersistentVolume for Storage | Kubernetes

Mount a local directory to kubernetes pod - Stack Overflow

Kubernetes share a directory from your local system to kubernetes container - Stack Overflow

How to Mount a Host Directory Into a Docker Container

= 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 rofor 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

 Label constraints can be used to schedule containers to meet the security policy requirements. Label constraints are a way to specify which nodes a service can run on based on the labels assigned to the nodes. Labels are key-value pairs that can be attached to any node in the swarm. For example, you can label nodes as development or production depending on their intended use. Then, you can use the --constraint option when creating or updating a service to filter the nodes based on their labels. For example, to run a service only on development nodes, you can use:

docker service create --constraint'node.labels.environment == development'...

To run a service only on production nodes, you can use:

docker service create --constraint'node.labels.environment == production'...

This way, you can ensure that development and production containers run on separate nodes in the swarm, as required by the security policy. References:

Using placement constraints with Docker Swarm

Multiple label placement constraints in docker swarm

Machine constraints in Docker swarm

How can set service constraint to multiple value

 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 EventCollector 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 thecommandline 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

= This is not a way to configure the Docker engine to use a registry without a trusted TLS certificate. There is no such option as IGNORE_TLS in the daemon.json configuration file. The daemon.json file is used to configure various aspects of the Docker engine, such as logging, storage, networking, and security1. To use a registry without a trusted TLS certificate, you need to either add the certificate to the trusted root certificates of the system, or configure the Docker engine to allow insecure registries2. To add the certificate to the trusted root certificates, you need to copy the certificate file to the /etc/docker/certs.d// directory on every Docker host2. To configure the Docker engine to allow insecure registries, you need to add the registry hostname or IP address to the “insecure-registries” array in the daemon.json file3. For example:

{ “insecure-registries” : [“myregistry.example.com:5000”] }

Note that using insecure registries is not recommended, as it exposes you to potential man-in-the-middle attacks and data corruption3. You should always use a registry with a trusted TLS certificate, or use Docker Content Trust to sign and verify your images4. References:

Daemon configuration file | Docker Docs

Verify repository client with certificates | Docker Docs

Test an insecure registry | Docker Docs

Content trust in Docker | Docker Docs

Docker Universal Control Plane (UCP) has its own built-in authentication mechanism and integrates with LDAP services1.It also has role-based access control (RBAC), so that you can control who can access and make changes to your cluster and applications1.However, there is no mention of Docker ID being a supported user authentication method for UCP in the resources provided1234.

Docker will block the command docker container run myorg/myimage:1.0 if the image tag myorg/myimage:1.0 is unsigned and the environment variable DOCKER_CONTENT_TRUST=1 is set. The reason is that setting DOCKER_CONTENT_TRUST=1 enables Docker Content Trust (DCT), which is a feature that allows users to verify the integrity and publisher of Docker images using digital signatures1. When DCT is enabled, Docker will only pull, run, or build images that have valid signatures. If an image tag is unsigned or has an invalid signature, Docker will reject the operation and display an error message2. Therefore, to run an unsigned image with DCT enabled, you need to either disable DCT by setting DOCKER_CONTENT_TRUST=0 or use the --disable-content-trust flag, or sign the image tag with a valid key3. References:

Content trust in Docker

Determine if Docker image is signed or unsigned

Signing Images and Enabling Docker Content Trust

 = The command kubectl get pods --all-namespaces -label env=development is not valid because it has a syntax error. The correct syntax for listing pods with a specific label is kubectl get pods --all-namespaces --selector label=value or kubectl get pods --all-namespaces -l label=value. The error in the command is:

The option flag for specifying the label selector is --selector or -l, not -label. For example, -label env=development should be --selector env=development or -l env=development.

The correct command for listing all the pods in the cluster that are labeled as env: development is:

kubectl get pods --all-namespaces --selector env=development

This command will display the name, status, restarts, and age of the pods that have the label env: development in all namespaces.

 Labels | Kube by Example : kubectl Cheat Sheet | Kubernetes

 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