2024 Current DCA dumps Preparation through Our Practice Test [Q88-Q112]

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2024 Current DCA dumps Preparation through Our Practice Test

100% Reliable Microsoft DCA Exam Dumps Test Pdf Exam Material

Achieving the DCA certification demonstrates that a candidate has a strong understanding of Docker and is capable of working with it in a production environment. It is a valuable certification for professionals who work with Docker and can lead to career advancement and higher salaries. Docker also offers other certifications, including the Docker Certified Associate (DCA) and Docker Certified Advanced (DCA) certifications, which validate a candidate’s knowledge of other Docker-related technologies.

Q88. Which of the following is NOT backed up when performing a Docker Trusted backup operation?

Access control to repos and images

Repository metadata

Image blobs

DTR configurations

Q89. 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?

-995

32 in every Kubernetes namespace

64 for every service routing to pods on this node

Q90. Is this a type of Linux kernel namespace that provides container isolation?
Solution.Host

Yes

Q91. 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: node taints

Yes

Q92. 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: node affinities

Yes

Q93. When using the Docker client to push an image to a registry, what environment variable is used to instruct the client to perform signing of the image?

DOCKER_CONTENT_TRUST=1

DOCKER_IMAGE_SIGN=1

DOCKER_PUSH_SIGN=1

NOTARY_ENABLE=1
Correct

Q94. 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 constraints

Yes

Q95. Your organization has a centralized logging solution, such as Splunk.
Will this configure a Docker container to export container logs to the logging solution?
Solution. docker run — log driver=splunk for every container at run time

Yes

Q96. You want to create a container that is reachable from its host’s network.
Does this action accomplish this?
Solution.Use network connect to access the container on the bridge network.

Yes

Q97. 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.

Yes

Q98. During development of an application meant to be orchestrated by Kubernetes, you want to mount the /data directory on your laptop into a container.
Will this strategy successfully accomplish this?
Solution: Add a volume to the pod that sets hostPath.path: /data, and then mount this volume into the pod’s containers as desired.

Yes

Q99. 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: node taints

Yes

Q100. 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”

Yes

Q101. 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.

Yes

Q102. Is this a Linux kernel namespace that is disabled by default and must be enabled at Docker engine runtime to be used?
Solution: net

Yes

Q103. 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 default provisioner is specified, and subsequently a persistentVolumeClaim is created.

Yes

Q104. Will this Linux kernel facility limit a Docker container’s access to host resources, such as CPU or memory?
Solution: namespaces

Yes

Q105. 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.

Yes

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.

Q106. You want to create a container that is reachable from its host’s network. Does this action accomplish this?
Solution: Use –link to access the container on the bridge network.

Yes

Q107. What is the difference between a resource limit and a resource reservation when scheduling services?

A resource limit and a resource reservation can be used interchangeably.

A resource limit is a soft limit for your service, while a reservation is hard limit and the docker engine will do its best to keep your service at the limit.

A resource limit is used to find a host with adequate resources for scheduling a hard limit for your service, while a reservation is hard limit for your service.

A resource limit is hard limit for your service, while a reservation is used to find a host with adequate resources for scheduling. Correct

Q108. Seven managers are in a swarm cluster.
Is this how should they be distributed across three datacenters or availability zones?
Solution: 3-2-2

Yes

Q109. 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

Yes

Q110. The following Docker Compose file is deployed as a stack:

Is this statement correct about this health check definition?
Solution: Health checks test for app health ten seconds apart. If the test fails, the container will be restarted three times before it gets rescheduled.

Yes

Q111. What is the recommended way to configure the daemon flags and environment variables for your Docker daemon in a platform independent way?

Set the configuration options using the ENV variable

Set the configuration options in ‘/etc/docker/daemon.json’

Set the configuration DOCKER_OPTS in ‘/etc/default/docker’

Using ‘docker config’ to set the configuration options.

Q112. 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’

Yes

Introduction to Docker Certified Associate Exam

Docker Certified Associate (DCA) certification serves as a foundational benchmark for real-world container technology expertise with Docker Enterprise Edition. Candidates for DCA Exam are seeking to prove fundamental Docker containerization technology knowledge and skills. Before taking this exam, exam aspirants ought to have a solid fundamental information of the concepts shared in the preparation guide as well as on containerization.

It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have a strong understanding of core docker services, docker images, docker container, and their cmdlets.
After passing this exam, candidates get a certificate from Docker that helps them to demonstrate their proficiency in Docker containerization technology to their clients and employers.

The DCA exam is a performance-based exam that requires candidates to complete a set of tasks in a live environment. DCA exam is designed to test one’s ability to work with Docker containers in real-world scenarios. Candidates must demonstrate their proficiency in Docker container deployment, management, and troubleshooting. The DCA certification is valid for two years and is renewable by passing the recertification exam.

Free DCA Dumps are Available for Instant Access: https://www.actualtorrent.com/DCA-questions-answers.html

2024 Current DCA dumps Preparation through Our Practice Test [Q88-Q112]

Introduction to Docker Certified Associate Exam

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Introduction to Docker Certified Associate Exam