ACHIEVE SUCCESS IN THE DOCKER DCA EXAM WITH CONFIDENCE

Achieve Success in the Docker DCA Exam with Confidence

Achieve Success in the Docker DCA Exam with Confidence

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What is the duration, language, and format of Docker Certified Associate Exam

  • language: English
  • Type of Questions: Multiple choice, Multiple answers
  • Length of Examination: 90 mins
  • Number of Questions: 55
  • Passing score: 65%

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Docker Certified Associate (DCA) certification exam is a challenging and rewarding certification that tests the knowledge and skills of professionals who work with Docker. Docker Certified Associate (DCA) Exam certification is recognized by leading technology companies and organizations, and provides a valuable credential for IT professionals looking to advance their careers in cloud computing, DevOps, and containerization.

Docker Certified Associate (DCA) Exam Sample Questions (Q126-Q131):

NEW QUESTION # 126
You want to provide a configuration file to a container at runtime. Does this set of Kubernetes tools and steps accomplish this?
Solution: Turn the configuration file into a configMap object, use it to populate a volume associated with the pod, and mount that file from the volume to the appropriate container and path.

  • A. Yes
  • B. No

Answer: B

Explanation:
= Mounting the configuration file directly into the appropriate pod and container using the
.spec.containers.configMounts key is not a valid way to provide a configuration file to a container at runtime. The .spec.containers.configMounts key does not exist in the Kubernetes API1. The correct way to provide a configuration file to a container at runtime is to use a ConfigMap2. A ConfigMap is a Kubernetes object that stores configuration data as key-value pairs. You can create a ConfigMap from a file, and then mount the ConfigMap as a volume into the pod and container. The configuration file will be available as a file in the specified mount path3. Alternatively, you can also use environment variables to pass configuration data to a container from a ConfigMap4. References:
* PodSpec v1 core
* Configure a Pod to Use a ConfigMap
* Populate a Volume with data stored in a ConfigMap
* Define Container Environment Variables Using ConfigMap Data


NEW QUESTION # 127
Will this configuration achieve fault tolerance for managers in a swarm?
Solution: only two managers, one active and one passive.

  • A. Yes
  • B. No

Answer: B

Explanation:
Explanation
= The configuration will not achieve fault tolerance for managers in a swarm, because it does not have enough managers to form a quorum. A quorum is the minimum number of managers that must be available to agree on values and maintain the consistent state of the swarm. The quorum is calculated as (N/2)+1, where N is the number of managers in the swarm. For example, a swarm with 3 managers has a quorum of 2, and a swarm with 5 managers has a quorum of 3. Having only two managers, one active and one passive, means that the quorum is also 2. Therefore, if one manager fails or becomes unavailable, the swarm will lose the quorum and will not be able to process any requests or schedule any tasks. To achieve fault tolerance, a swarm should have an odd number of managers, at least 3, and no more than 7. This way, the swarm can tolerate the loss of up to (N-1)/2 managers and still maintain the quorum and the cluster state. References:
* Administer and maintain a swarm of Docker Engines
* Raft consensus in swarm mode
* How nodes work


NEW QUESTION # 128
Is this statement correct?
Solution.A Dockerfile stores persistent data between deployments of a container

  • A. Yes
  • B. No

Answer: B

Explanation:
Explanation
= 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


NEW QUESTION # 129
Wha is the purpose of Docker Content Trust?

  • A. Indicating an image on Docker Hub is an official image
  • B. Enabling mutual TLS between the Docker client and server
  • C. Docker registry TLS verification and encryption
  • D. Signing and verification of image tags

Answer: D


NEW QUESTION # 130
Does this command display all the pods in the cluster that are labeled as 'env: development'?
Solution: 'kubectl get pods --all-namespaces -I env=development'

  • A. Yes
  • B. No

Answer: B

Explanation:
Explanation
The command 'kubectl get pods --all-namespaces -I env=development' does not display all the pods in the cluster that are labeled as 'env: development'. The reason is that the flag -I is not a valid option for kubectl get pods. The correct flag to use is --selector or -l, which allows you to filter pods by labels1. Labels are key-value pairs that can be attached to Kubernetes objects to identify, group, or select them2. For example, to label a pod with env=development, one can run:
kubectl label pods my-pod env=development
To display all the pods that have the label env=development, one can run:
kubectl get pods --selector env=development
or
kubectl get pods -l env=development
The --all-namespaces flag can be used to list pods across all namespaces3. Therefore, the correct command to display all the pods in the cluster that are labeled as 'env: development' is:
kubectl get pods --all-namespaces --selector env=development
or
kubectl get pods --all-namespaces -l env=development References:
* kubectl Cheat Sheet | Kubernetes
* Labels and Selectors | Kubernetes
* kubectl get | Kubernetes


NEW QUESTION # 131
......

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