Free PDF Docker - DCA–The Best Pass4sure Dumps Pdf

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Docker Certified Associate (DCA) Exam Sample Questions (Q174-Q179):

NEW QUESTION # 174
Will this sequence of steps completely delete an image from disk in the Docker Trusted Registry?
Solution. Delete the image and delete the image repository from Docker Trusted Registry.

A. Yes
B. No

Answer: B

Explanation:
Explanation
Deleting the image and deleting the image repository from Docker Trusted Registry (DTR) does not completely delete an image from disk in DTR. Deleting an image only removes its tag and association with a repository, but does not delete its underlying layers from disk. Deleting a repository only removes its metadata and tags, but does not delete its underlying layers from disk either. To completely delete an image from disk in DTR, you need to run a garbage collection job after deleting the image or the repository. A garbage collection job scans the DTR storage and removes any unused layers that are not referenced by any images or repositories. References: https://docs.docker.com/ee/dtr/user/manage-images/delete-images/,
https://docs.docker.com/ee/dtr/admin/configure/garbage-collection/

NEW QUESTION # 175
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. 32 in every Kubernetes namespace
B. 64 for every service routing to pods on this node
C. 0
D. 1
E. 2

Answer: D

Explanation:
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. References:
*CIDR Blocks and Container Engine for Kubernetes - Oracle
*How kubernetes assigns podCIDR for nodes? - Stack Overflow

NEW QUESTION # 176
One of several containers in a pod is marked as unhealthy after failing its livenessProbe many times. Is this the action taken by the orchestrator to fix the unhealthy container?
Solution: The controller managing the pod is autoscaled back to delete the unhealthy pod and alleviate load.

A. Yes
B. No

Answer: B

Explanation:
Explanation
= The livenessProbe is a mechanism that checks if the container is alive and healthy, and restarts it if it fails1. The orchestrator is the component that manages the deployment and scaling of containers across a cluster of nodes2. The action taken by the orchestrator to fix the unhealthy container is not to autoscale back and delete the pod, but to recreate the pod on the same or a different node3. This ensures that the desired number of replicas for the pod is maintained, and that the pod can resume its normal operation. Autoscaling back and deleting the pod would reduce the availability and performance of the service, and would not necessarily alleviate the load.
References:
* Configure Liveness, Readiness and Startup Probes | Kubernetes
* What is a Container Orchestrator? | Docker
* Pod Lifecycle | Kubernetes
I hope this helps you understand the concept of livenessProbe and orchestrator, and how they work with Docker and Kubernetes. If you have any other questions related to Docker, please feel free to ask me.

NEW QUESTION # 177
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:
Explanation

Kubernetes

A blue hexagon with a white wheel Description automatically generated
Explore
Verified Answer: B. No
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. References:
* 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 # 178
You created a new service named 'http* and discover it is not registering as healthy. Will this command enable you to view the list of historical tasks for this service?
Solution. 'docker inspect http"

A. Yes
B. No

Answer: B

Explanation:
Explanation
Using docker inspect http does not enable you to view the list of historical tasks for this service. The docker inspect command shows low-level information about one or more objects, such as containers, images, networks, etc. It does not show information about services or tasks. To view the list of historical tasks for this service, you need to use docker service ps http --no-trunc. References:
https://docs.docker.com/engine/reference/commandline/inspect/,
https://docs.docker.com/engine/reference/commandline/service_ps/

NEW QUESTION # 179
......

All contents are being explicit to make you have explicit understanding of this exam. Some people slide over ticklish question habitually, but the experts help you get clear about them and no more hiding anymore. Their contribution is praised for their purview is unlimited. None cryptic contents in DCA practice materials you may encounter.

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Free PDF Docker - DCA–The Best Pass4sure Dumps Pdf

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Docker Certified Associate (DCA) Exam Sample Questions (Q174-Q179):

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