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DCA real exam dumps: Docker Certified Associate (DCA) Exam & DCA free practice exam
Candidates who become Docker DCA certified demonstrate their worth in the Docker field. The Docker Certified Associate (DCA) Exam (DCA) certification is proof of their competence and skills. This is a highly sought-after skill in large Docker companies and makes a career easier for the candidate. To become certified, you must pass the Docker Certified Associate (DCA) Exam (DCA) certification exam. For this task, you need high-quality and accurate Docker Certified Associate (DCA) Exam (DCA) exam dumps.
The benefit of obtaining the Docker Certified Associate Exam Certification
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This accreditation is a portable proof of skills in containerization technology.
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DCA credential delivers higher earning potential and increased promotion opportunities because it shows a good understanding of Docker containerization technology.
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DCA Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
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DCA Exam provide proven knowledge to use the tools to complete the task efficiently and cost-effectively than the other non-certified professionals lack in doing so.
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This certification will be judging your skills and knowledge on your understanding of Docker containerization technology concepts & Understanding of how to operate on Docker.
It is important to note that the Docker DCA Certification is valid for two years. After two years, individuals must recertify to maintain their certification. Recertification can be achieved by passing the current version of the Docker DCA exam or by earning a higher-level Docker certification. With the continued growth of Docker and containerization, the Docker DCA certification is a valuable credential for IT professionals who work with Docker.
Docker Certified Associate (DCA) Exam Sample Questions (Q53-Q58):
NEW QUESTION # 53
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: label contraints
- A. No
- B. Yes
Answer: B
Explanation:
Explanation
Label constraints can be used to schedule containers to meet the security policy requirements, because label constraints allow you to specify which nodes a service can run on based on node labels. According to the official documentation, label constraints are used to filter nodes based on their role, availability, or any other criteria.
References: https://docs.docker.com/engine/swarm/services/#specify-service-constraints
NEW QUESTION # 54
A Kubernetes node is allocated a /26 CIDR block (64 unique IPs) for its address space.
If every pod on this node has exactly two containers in it, how many pods can this address space support on this node?
- A. 64 for every service routing to pods on this node
- B. 0
- C. 32 in every Kubernetes namespace
- D. 1
- E. 2
Answer: D
Explanation:
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. Reference:
* CIDR Blocks and Container Engine for Kubernetes - Oracle
* How kubernetes assigns podCIDR for nodes? - Stack Overflow
NEW QUESTION # 55
Is this an advantage of multi-stage builds?
Solution: better caching when building Docker images
- A. No
- B. Yes
Answer: B
Explanation:
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. Reference:
Multi-stage builds | Docker Docs
What Are Multi-Stage Docker Builds? - How-To Geek
NEW QUESTION # 56
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: Use the DTR web Ul to make all tags in the repository immutable.
- A. Yes
- B. No
Answer: B
Explanation:
Explanation
This is not how a user can prevent an image from being overwritten by another user with push access to the repository, because making all tags in the repository immutable will also prevent the user from updating their own image tags. According to the official documentation, a better way to prevent an image from being overwritten is to use promotion policies that only allow certain users or teams to push images with specific tags.
References: https://docs.docker.com/ee/dtr/user/promotion-policies/overview/
NEW QUESTION # 57
Does this describe the role of Control Groups (cgroups) when used with a Docker container?
Solution: isolation between resources used by containers
- A. No
- B. Yes
Answer: B
Explanation:
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 by containers, 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
NEW QUESTION # 58
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