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New DCA Test Pattern & DCA Valid Exam Topics

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Docker Certified Associate (DCA) certification exam is intended for IT professionals who are interested in building, managing, and deploying Docker applications. DCA Exam is ideal for developers, system administrators, DevOps engineers, and other IT professionals who want to demonstrate their expertise in Docker technologies. Docker Certified Associate (DCA) Exam certification exam is vendor-neutral, which means that it is not tied to any specific Docker product or service. Instead, it focuses on the core concepts and principles of Docker technologies, making it a valuable certification for anyone interested in learning Docker.

Docker Certified Associate (DCA) certification exam is an important certification for IT professionals who work with Docker container technology. Docker Certified Associate (DCA) Exam certification validates the knowledge and skills of the candidates in various areas such as Docker architecture, installation and configuration, Docker networking, security, and troubleshooting. Docker Certified Associate (DCA) Exam certification is globally recognized and helps the individuals to advance their career in the field of Docker container technology.

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Docker Certified Associate (DCA) certification exam is a valuable credential for IT professionals and developers who work with Docker technologies. It validates their knowledge and skills in using Docker to build, ship, and run containerized applications. Docker Certified Associate (DCA) Exam certification can help professionals to enhance their career prospects and to demonstrate their expertise in Docker technologies to potential employers.

Docker Certified Associate (DCA) Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
How do you change the default logging driver for the docker daemon in Linux?

A. At the command line, type: docker log driver set <driver name>
B. Set the value of log-driver to the name of the logging driver In the daemon.json In /etc/doc
C. Install a logging agent on the Linux host.
D. Use the -log-driver' flag when you run a container.

Answer: C

NEW QUESTION # 11
When seven managers are in a swarm cluster how would they be distributed across three datacenters or availability zones?

A. 3-2-2
B. 4-2-1
C. 5-1-1
D. 3-3-1

Answer: A

NEW QUESTION # 12
You configure a local Docker engine to enforce content trust by setting the environment variable DOCKER_CONTENT_TRUST=1.
If myorg/myimage: 1.0 is unsigned, does Docker block this command?
Solution: docker container run myorg/myimage:1.0

A. No
B. Yes

Answer: B

Explanation:
Explanation
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

NEW QUESTION # 13
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 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

NEW QUESTION # 14
Two development teams in your organization use Kubernetes and want to deploy their applications while ensuring that Kubernetes-specific resources, such as secrets, are grouped together for each application.
Is this a way to accomplish this?
Solution: Create one pod and add all the resources needed for each application

A. Yes
B. No

Answer: B

NEW QUESTION # 15
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