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Docker Certified Associate (DCA) Exam is a certification program designed to validate the skills and knowledge of IT professionals who work with Docker. Docker is an open-source platform that allows developers to build, ship, and run applications as containers. The DCA Exam tests the candidate’s knowledge of Docker’s core concepts, including containerization, Docker networking, and the Docker CLI. DCA exam is a rigorous test of the candidate’s ability to design, deploy, and manage Docker applications.

Docker Certified Associate (DCA) exam is an industry-recognized certification that validates an individual’s knowledge and skills in managing and deploying Docker containers. DCA Exam covers a wide range of topics related to Docker and its related technologies, including container networking, image creation and management, container orchestration, and security. Docker Certified Associate (DCA) Exam certification is highly valued in the industry and can lead to higher salaries and promotions. Candidates can prepare for the exam by taking advantage of Docker’s training courses and resources or by using third-party study materials.

Docker Certified Associate (DCA) Exam Sample Questions (Q125-Q130):

NEW QUESTION # 125
Seven managers are in a swarm cluster.
Is this how should they be distributed across three datacenters or availability zones?
Solution: 5-1-1

A. Yes
B. No

Answer: B

Explanation:
= 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 3 and 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

NEW QUESTION # 126
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 # 127
Which of the following commands starts a Redis container and configures it to always restart unless it is
explicitly stopped or Docker is restarted?

A. 'docker run -d --restart-policy unless-stopped redis'
B. 'docker run -d --restart omit-stopped redis'
C. 'docker run -d --failure omit-stopped redis'
D. 'docker run -d --restart unless-stopped redis'

Answer: D

NEW QUESTION # 128
You want to provide a configuration file to a container at runtime. Does this set of Kubernetes tools and steps accomplish this?
Solution: Mount the configuration file directly into the appropriate pod and container using the
.spec.containers.configMounts key.

A. Yes
B. No

Answer: B

Explanation:
Explanation
The solution given is not a valid way to provide a configuration file to a container at runtime using Kubernetes tools and steps. The reason is that there is no such key as .spec.containers.configMounts in the PodSpec. The correct key to use is .spec.containers.volumeMounts, which specifies the volumes to mount into the container's filesystem1. To use a ConfigMap as a volume source, one needs to create a ConfigMap object that contains the configuration file as a key-value pair, and then reference it in the .spec.volumes section of the PodSpec2. A ConfigMap is a Kubernetes API object that lets you store configuration data for other objects to use3. For example, to provide a nginx.conf file to a nginx container, one can do the following steps:
* Create a ConfigMap from the nginx.conf file:
kubectl create configmap nginx-config --from-file=nginx.conf
* Create a Pod that mounts the ConfigMap as a volume and uses it as the configuration file for the nginx container:
apiVersion: v1
kind: Pod
metadata:
name: nginx-pod
spec:
containers:
- name: nginx
image: nginx
volumeMounts:
- name: config-volume
mountPath: /etc/nginx/nginx.conf
subPath: nginx.conf
volumes:
- name: config-volume
configMap:
name: nginx-config
References:
* Configure a Pod to Use a Volume for Storage | Kubernetes
* Configure a Pod to Use a ConfigMap | Kubernetes
* ConfigMaps | Kubernetes

NEW QUESTION # 129
In the context of a swarm mode cluster, does this describe a node?
Solution: an instance of the Docker engine participating in the swarm

A. Yes
B. No

Answer: A

Explanation:
In the context of a swarm mode cluster, an instance of the Docker engine participating in the swarm is indeed a node1. A node can be either a manager or a worker, depending on the role assigned by the swarm manager2. A manager node handles the orchestration and management of the swarm, while a worker node executes the tasks assigned by the manager2. A node can join or leave a swarm at any time, and the swarm manager will reconcile the desired state of the cluster accordingly1. Reference:
1: Swarm mode overview | Docker Docs
2: Manage nodes in a swarm | Docker Docs

NEW QUESTION # 130
......

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