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Test Number : DCA
Test Name : Docker Certified Associate
Vendor Name : Misc
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Exam ID : DCA
Exam Title : Docker Certified Associate
Questions : 55
Duration : 90 minutes
Exam Type : multiple choice

Recognition for your Docker skills with an official Docker credential
Digital certificate and use of the Docker Certified Associate logo
Online verification of Docker Certified status by potential employers
Exclusive access to the Docker Certified professional network on LinkedIn and invites to certified-only events

55 multiple choice questions in 90 minutes
Designed to validate professionals with a minimum of 6 to 12 months of Docker experience
Remotely proctored on your Windows or Mac computer
Available globally in English
Results delivered immediately

This examination is based upon critical job activities a Docker Certified Associate performs. The skills and knowledge certified by this examination represent a level of expertise where a certified Docker Associate can:
=> Run containerized applications from pre-existing images stored in a centralized registry
=> Deploy images across the cluster
=> Triage and resolve issue reports from stakeholders and resolve
=> Standup up on Enterprise clusters with one UCP manager, one DTR replica, and one worker node
=> Migrate traditional applications to containers
=> Configure and troubleshoot Docker engine
=> Perform general maintenance and configuration
Candidates for this certification should have at least six months to one year of experience with Docker, including exposure to the Docker Enterprise Edition. The knowledge, skills and experience required at this level should also include:
=> container security
=> experience with at least one cloud provider
=> configuration management tools
=> Linux and/or Windows Server

Orchestration 25%
Image Creation, Management, and Registry 20%
Installation and Configuration 15%
Networking 15%
Security 15%
Storage and Volumes 10%

Domain 1: Orchestration (25% of exam)
Content may include the following:
=> Complete the setup of a swarm mode cluster, with managers and worker nodes
=> Describe and demonstrate how to extend the instructions to run individual containers into running services under swarm.
=> Describe the importance of quorum in a swarm cluster.
=> Describe the difference between running a container and running a service.
=> Interpret the output of “docker inspect” commands.
=> Convert an application deployment into a stack file using a YAML compose file with "docker stack deploy"
=> Manipulate a running stack of services.
=> Describe and demonstrate orchestration activities.
=> Increase the number of replicas.
=> Add networks, publish ports.
=> Mount volumes.
=> Describe and demonstrate how to run replicated and global services.
=> Apply node labels to demonstrate placement of tasks.
=> Describe and demonstrate how to use templates with “docker service create”.
=> Identify the steps needed to troubleshoot a service not deploying.
=> Describe how a Dockerized application communicates with legacy systems.
=> Describe how to deploy containerized workloads as Kubernetes pods and deployments.
=> Describe how to provide configuration to Kubernetes pods using configMaps and secrets.

Domain 2: Image Creation, Management, and Registry (20% of exam)
Content may include the following:
=> Describe the use of Dockerfile.
=> Describe options, such as add, copy, volumes, expose, entry point.
=> Identify and display the main parts of a Dockerfile.
=> Describe and demonstrate how to create an efficient image via a Dockerfile.
=> Describe and demonstrate how to use CLI commands to manage images, such as list, delete, prune, rmi.
=> Describe and demonstrate how to inspect images and report specific attributes using filter and format
=> Describe and demonstrate how to tag an image.
=> Describe and demonstrate how to apply a file to create a Docker image.
=> Describe and demonstrate how to display layers of a Docker image
=> Describe and demonstrate how to modify an image to a single layer.
=> Describe and demonstrate registry functions.
=> Deploy a registry.
=> Log into a registry.
=> Utilize search in a registry.
=> Push an image to a registry.
=> Sign an image in a registry.
=> Pull and delete images from a registry.

Domain 3: Installation and Configuration (15% of exam)
Content may include the following:
=> Describe sizing requirements for installation.
=> Describe and demonstrate the setup of repo, selection of a storage driver, and installation of the Docker engine on multiple platforms.
=> Describe and demonstrate configuration of logging drivers (splunk, journald, etc.).
=> Describe and demonstrate how to set up swarm, configure managers, add nodes, and setup the backup schedule.
=> Describe and demonstrate how to create and manage user and teams.
=> Describe and demonstrate how to configure the Docker daemon to start on boot.
=> Describe and demonstrate how to use certificate-based client-server authentication to ensure a Docker daemon has the rights to access images on a registry.
=> Describe the use of namespaces, cgroups, and certificate configuration.
=> Describe and interpret errors to troubleshoot installation issues without assistance.
=> Describe and demonstrate the steps to deploy the Docker engine, UCP, and DTR on AWS and on-premises in an HA configuration. => Describe and demonstrate how to configure backups for UCP and DTR.

Domain 4: Networking (15% of exam)
Content may include the following:
=> Describe the Container Network Model and how it interfaces with the Docker engine and network and IPAM drivers.
=> Describe the different types and use cases for the built-in network drivers.
=> Describe the types of traffic that flow between the Docker engine, registry and UCP controllers.
=> Describe and demonstrate how to create a Docker bridge network for developers to use for their containers.
=> Describe and demonstrate how to publish a port so that an application is accessible externally.
=> Identify which IP and port a container is externally accessible on.
=> Compare and contrast “host” and “ingress” publishing modes.
=> Describe and demonstrate how to configure Docker to use external DNS.
=> Describe and demonstrate how to use Docker to load balance HTTP/HTTPs traffic to an application (Configure L7 load balancing with Docker EE).
=> Understand and describe the types of traffic that flow between the Docker engine, registry, and UCP controllers
=> Describe and demonstrate how to deploy a service on a Docker overlay network.
=> Describe and demonstrate how to troubleshoot container and engine logs to resolve connectivity issues between containers.
=> Describe how to route traffic to Kubernetes pods using ClusterIP and NodePort services.
=> Describe the Kubertnetes container network model.

Domain 5: Security (15% of exam)
Content may include the following:
=> Describe security administration and tasks.
=> Describe the process of signing an image.
=> Describe default engine security.
=> Describe swarm default security.
=> Describe MTLS.
=> Describe identity roles.
=> Compare and contrast UCP workers and managers.
=> Describe the process to use external certificates with UCP and DTR.
=> Describe and demonstrate that an image passes a security scan.
=> Describe and demonstrate how to enable Docker Content Trust.
=> Describe and demonstrate how to configure RBAC with UCP.
=> Describe and demonstrate how to integrate UCP with LDAP/AD.
=> Describe and demonstrate how to create UCP client bundles.

Domain 6: Storage and Volumes (10% of exam)
Content may include the following:
=> Identify the correct graph drivers to uses with various operating systems.
=> Describe and demonstrate how to configure devicemapper.
=> Compare and contrast object and block storage and when they should be used.
=> Describe how an application is composed of layers and where these layers reside on the filesystem.
=> Describe the use of volumes are used with Docker for persistent storage.
=> Identify the steps to take to clean up unused images on a filesystem and DTR.
=> Describe and demonstrate how storage can be used across cluster nodes.
=> Describe how to provision persistent storage to a Kubernetes pod using persistentVolumes.
=> Describe the relationship between container storage interface drivers, storageClass, persistentVolumeClaim and volume objects in Kubernetes.



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Misc Docker PDF Download

Intro To Docker: Why and how to make use of Containers On Any system | DCA Latest Questions and Practice Test

if in case you have your ear even slightly to the ground of the software neighborhood, you’ll have heard of Docker. Having currently enjoyed a big upward push in recognition, it continues to attract users at a quick pace, including many world organizations whose infrastructure depends upon it. part of Docker’s upward push to reputation may also be attributed to its users becoming rapid lovers with evangelical tendencies.

but what’s at the back of the recognition, and the way does it work? Let’s go through a conceptual introduction after which discover Docker with a little bit of fingers-on playing around.

what is Docker?

Docker permits you to run utility in an isolated atmosphere called a container. A container is corresponding to a digital computer (VM) but operates in a very diverse way (which we’ll go into quickly). at the same time as providing most of the isolation that a VM does, containers use just a fraction of the materials.

Why it’s fantastic

earlier than they dive into technical particulars, why when you care?

Consistency

Let’s say you’re coding a web app. You’re establishing it for your local computer, where you examine it. You sometimes run it on a staging server, and shortly you’re going to place it on a huge construction server for the world to peer.

Wouldn’t it's wonderful if you may continually spin up the same accurate atmosphere on all of your devices? in case your internet app runs appropriately internal of a Docker container to your local field, it runs for your examine server, it runs on the production server, it runs anywhere.

This makes managing challenge dependencies enormously handy. no longer simplest is it essential to cope with external libraries and modules referred to as at once by your code, however the whole device may also be configured to your liking. when you've got an open source task which a brand new user wants to down load and run, it’s so simple as taking off a container.

It’s no longer just operating code that benefits from a reproducible atmosphere — constructing code in containers is commonplace as well; they wrote about the usage of Docker to cross assemble for Raspberry Pi.

Scalability

in case you use Docker to create functions which have varying demand (reminiscent of web sites or APIs), it’s incredibly easy to scale your provisioning by means of with no trouble firing up extra containers (presenting everything is as it should be architected to do so). There are a number of frameworks for orchestrating container clusters, similar to Kubernetes and Docker Swarm, but that’s a narrative for an extra day.

how it works

Containers are pretty artful. A digital laptop runs on simulated hardware and is a wholly self-contained OS. despite the fact, containers natively share the kernel of the host. which you could see the transformations under.

This capacity that containers operate staggeringly stronger than virtual machines. after they discuss Docker, we’re speaking about what number of Linux techniques they are able to run, no longer what number of OSes they are able to keep afloat at the same time. depending on what they’re doing, it will be feasible to spin up a whole bunch if no longer heaps of containers to your workstation. in addition, starting off a container will take seconds or less, compared to minutes for many VMs.  due to the fact containers are so light-weight, it’s typical follow to run all points of an software in diverse containers, for overwhelming maintainability and modularity. as an instance, you could have different containers for your database server, redis, nginx and so on.

but if containers share the host kernel, then how are they separated? There’s some relatively neat low-level trickery occurring, however all you should recognize is that Linux namespaces are closely leveraged, leading to what seems to be a completely impartial container finished with its personal community interfaces and greater. youngsters, the barrier between containers and hosts is still weaker than when the usage of VMs, so for protection-important functions, some would recommend guidance away from containers.

How do i exploit it?

as an example, we’re going to construct a minimal internet server in a Docker container. within the hobbies of conserving it basic we’ll use Flask, a Python internet microframework. this is the program that they wish to run, leading.py:

from flask import Flask app = Flask(__name__) @app.route('/') def home(): return 'howdy from inner a Docker container'; if __name__ == '__main__': app.run(host='0.0.0.0', port=eighty)

Don’t be troubled in case you’re not everyday with Flask; all you deserve to understand is that this code serves up a string on localhost:80.

running a procedure internal a Container

So how will they run this interior of a container? Containers are described by an image, which is like a recipe for a container. A container is just a working example of a picture (this potential you could have varied working containers of the same picture).

How can they acquire a picture? The Docker Hub is a public collection of pictures, which holds official contributions but additionally allows for any one to push their own. they can take a picture from the Docker hub and extend it in order that it does what they want. To try this, they should write a Dockerfile — a listing of directions for constructing a picture.

the first aspect we’ll do in their Dockerfile is specify which picture they are looking to use/prolong. As a place to begin, it might make sense to prefer an image which has Python already installed. fortunately, there’s a well maintained Python picture, which comes in many flavours. We’ll use one with Python 3.7 working on Debian stretch.

right here’s their Dockerfile:

FROM python:three.7-stretch replica app/ /app WORKDIR /app RUN pip installation Flask CMD ["python", "main.py"]

After the first line which they mentioned, the relaxation of the Dockerfile is pretty self explanatory. we've a hierarchy setup like so:

app └──main.py Dockerfile

So their app/ listing gets copied into the container, and they run the leisure of the commands the use of that as the working listing. They use pip to deploy Flask, earlier than ultimately specifying the command to run when the container starts. observe that the procedure that this command starts can be inherently tied to the container: if the technique exits, the container will die. here's (continually) a good component if you’re using Docker accurately, with simplest a single technique/chunk of a venture operating inner each container.

constructing a picture

ok, we’ve written some instructions on how to build their picture, so let’s construct it.

$ docker construct .

This tells Docker to search for a Dockerfile within the current directory (.). however to make it just a little simpler to run, let’s provide their built graphic a name, called a tag.

$ docker build -t flask-whats up .

due to the fact that here's the primary time we’ve used this Python graphic from the hub, it takes a minute or two to download, however in future, it might be purchasable locally.

Now we've a shiny new graphic, which they are able to run to supply a container! It’s so simple as this:

$ docker run flask-howdy

Our container runs efficaciously, and they get some output from Flask announcing that it’s able to serve their page. but if they open a browser and consult with localhost, there’s nothing to be viewed. The purpose is of path that their server is running inner the container, which has an isolated community stack. They deserve to ahead port 80 to be able to access their server. So let’s kill the container with CTRL+C and run it once more with a port ahead.

$ docker run -p 80:80 flask-hi there

…and it works!

summary

the first time you see this manner, it might seem just a little long winded. but there are tools like docker-compose to automate this workflow, which might be very potent when working dissimilar containers/services.

We’ll allow you to in on a secret: when you get your head around Docker, it feels like being a part of an elite club. that you could without difficulty pull and run anyone’s utility, no setup required, with simplest a flourish of keystrokes.

  • Docker is a wonderful strategy to run code in a reproducible, go-platform ambiance.
  • once you’ve installation your photograph(s), which you could run your code any place, directly.
  • constructing diverse components of an app in distinctive containers is a pretty good approach to make your utility effortless to maintain.
  • although this article concentrated on internet functions for instance, Docker can support in a whole lot of places.
  • Containers, container orchestration, and scalable deployment are unique areas to watch right now, with tendencies going on at a rapid pace. It’s a great time to get in on the fun!


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