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The DCA exam is designed to test a candidate's knowledge of fundamental Docker concepts, as well as their ability to implement and manage Docker containers and images. DCA exam covers a range of topics, including Docker architecture, networking, security, and storage. Candidates are expected to have a solid understanding of Docker's command-line interface (CLI) and its associated tools, as well as the Docker API.

Docker Certified Associate (DCA) Certification Exam is a professional certification that validates an individual's knowledge and skills in Docker technologies and practices. Docker Certified Associate (DCA) Exam certification is developed and maintained by Docker, Inc. and is designed for IT professionals, developers, and system administrators who want to demonstrate their expertise in Docker technologies. The DCA Certification Exam covers a broad range of Docker topics, including containerization, orchestration, networking, security, and storage. Passing the DCA exam confirms that an individual has a strong understanding of Docker technologies and can effectively use Docker tools and practices in real-world scenarios.

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Docker Certified Associate (DCA) Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
Is this the purpose of Docker Content Trust?
Solution: Enable mutual TLS between the Docker client and server.

A. Yes
B. No

Answer: B

Explanation:
= 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. Reference:
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

NEW QUESTION # 52
Are these conditions sufficient for Kubernetes to dynamically provision a persistentVolume, assuming there are no limitations on the amount and type of available external storage?
Solution: A persistentVolumeClaim is created that specifies a pre-defined provisioner.

A. Yes
B. No

Answer: B

Explanation:

Explore
The creation of a persistentVolumeClaim with a specified pre-defined provisioner is not sufficient for Kubernetes to dynamically provision a persistentVolume. There are otherfactors and configurations that need to be considered and set up, such as storage classes and the appropriate storage provisioner configurations. A persistentVolumeClaim is a request for storage by a user, which can be automatically bound to a suitable persistentVolume if one exists or dynamically provisioned if one does not exist1. A provisioner is a plugin that creates volumes on demand2. A pre-defined provisioner is a provisioner that is built-in or registered with Kubernetes, such as aws-ebs, gce-pd, azure-disk, etc3. However, simply specifying a pre-defined provisioner in a persistentVolumeClaim is not enough to trigger dynamic provisioning. You also need to have a storage class that defines the type of storage and the provisioner to use4. A storage class is a way of describing different classes or tiers of storage that are available in the cluster5. You can create a storage class with a pre-defined provisioner, or use a default storage class that is automatically created by the cluster6. You can also specify parameters for the provisioner, such as the type, size, zone, etc. of the volume to be created7. To use a storage class for dynamic provisioning, you need to reference it in the persistentVolumeClaim by name, or use the special value "" to use the default storage class. Therefore, to enable dynamic provisioning, you need to have both a persistentVolumeClaim that requests a storage class and a storage class that defines a provisioner. Reference:
Persistent Volumes
Dynamic Volume Provisioning
Provisioner
Storage Classes
Configure a Pod to Use a PersistentVolume for Storage
Change the default StorageClass
Parameters
[PersistentVolumeClaim]
I also noticed that you sent me two images along with your question. The first image shows the Kubernetes logo, which consists of seven spokes connected to a central hub, forming an almost circular shape. The logo is blue and placed on a white background. It's encapsulated within a hexagonal border. The second image shows a diagram of the relationship between persistent volumes, persistent volume claims, and pods in Kubernetes. It illustrates how a pod can use a persistent volume claim to request storage from a persistent volume, which can be either statically or dynamically provisioned. The diagram also shows how a storage class can be used to define the type and provisioner of the storage. I hope this helps you understand the concept of persistent storage in Kubernetes.

NEW QUESTION # 53
In Docker Trusted Registry, is this how a user can prevent an image, such as 'nginx:latest', from being overwritten by another user with push access to the repository?
Solution: Tag the image with 'nginx:immutable'.

A. Yes
B. No

Answer: B

Explanation:
Explanation
Tagging the image with 'nginx:immutable' is not how a user can prevent an image, such as 'nginx:latest', from being overwritten by another user with push access to the repository. Tagging the image with
'nginx:immutable' will only create a new tag for the image, but it will not prevent the original tag from being overwritten. To prevent an image tag from being overwritten in Docker Trusted Registry, the user can use the DTR web UI to make the tag immutable1. This will prevent anyone from pushing a new image with the same tag, even if they have push access to the repository1. Alternatively, the user can also use the DTR API to make the tag immutable2. References: Prevent tags from being overwritten), DTR API reference)

NEW QUESTION # 54
A company's security policy specifies that development and production containers must run on separate nodes in a given Swarm cluster. Can this be used to schedule containers to meet the security policy requirements?
Solution. environment variables

A. Yes
B. No

Answer: B

Explanation:
Explanation
Environment variables cannot be used to schedule containers to meet the security policy requirements.
Environment variables are key-value pairs that can be passed to containers when they are created or run.
Environment variables can be used to configure the behavior of the containerized application or provide runtime information, such as database credentials, API keys, etc. Environment variables do not affect how containers are scheduled on nodes in a swarm mode cluster. References:
https://docs.docker.com/engine/reference/commandline/run/#set-environment-variables-e-env-env-file,
https://docs.docker.com/engine/swarm/services/#create-a-service

NEW QUESTION # 55
You want to create a container that is reachable from its host's network. Does this action accomplish this?
Solution: Use either EXPOSE or --publish to access the containers on the bridge network

A. No
B. Yes

Answer: B

Explanation:
Explanation
Using either EXPOSE or --publish to access the containers on the bridge network makes the container reachable from its host's network. The EXPOSE instruction in the Dockerfile specifies which ports the container listens on at runtime, while the --publish option maps a port on the host to a port in the container.
Both options allow external access to the container's services. References:
https://docs.docker.com/engine/reference/builder/#expose,
https://docs.docker.com/config/containers/container-networking/

NEW QUESTION # 56
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Docker DCA Paper & New DCA Test Testking

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Docker Certified Associate (DCA) Exam Sample Questions (Q51-Q56):

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