Domain 1: Orchestration (25% of exam) Complete the setup of a swarm mode cluster, with managers and worker nodes State the differences between running a container vs running a service Demonstrate steps to lock a swarm cluster Extend the instructions to run individual containers into running services under swarm 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 Increase # of replicas Add networks, publish ports Mount volumes Illustrate running a replicated vs global service Identify the steps needed to troubleshoot a service not deploying Apply node labels to demonstrate placement of tasks Sketch how a Dockerized application communicates with legacy systems Paraphrase the importance of quorum in a swarm cluster Demonstrate the usage of templates with “docker service create” Domain 2: Image Creation, Management, and Registry (20% of exam) Describe Dockerfile options [add, copy, volumes, expose, entrypoint, etc.] Show the main parts of a Dockerfile Give examples on how to create an efficient image via a Dockerfile Use CLI commands such as list, delete, prune, rmi, etc. to manage images Inspect images and report specific attributes using filter and format Demonstrate tagging an image Utilize a registry to store an image Display layers of a Docker image Apply a file to create a Docker image Modify an image to a single layer Describe how image layers work Deploy a registry (not architect) Configure a registry Log into a registry Utilize search in a registry Tag an image Push an image to a registry Sign an image in a registry Pull an image from a registry Describe how image deletion works Delete an image from a registry Domain 3: Installation and Configuration (15% of exam) Demonstrate the ability to upgrade the Docker engine Complete setup of repo, select a storage driver, and complete installation of Docker engine on multiple platforms Configure logging drivers (Splunk, journald, etc.) Setup swarm, configure managers, add nodes, and setup backup schedule Create and manage user and teams Interpret errors to troubleshoot installation issues without assistance Outline the sizing requirements prior to installation Understand namespaces, cgroups, and configuration of certificates Use certificate-based client-server authentication to ensure a Docker daemon has the rights to access images on a registry Consistently repeat steps to deploy Docker engine, UCP, and DTR on AWS and on-premises in an HA config Complete configuration of backups for UCP and DTR Configure the Docker daemon to start on boot Domain 4: Networking (15% of exam) Create a Docker bridge network for a developer to use for their containers Troubleshoot container and engine logs to understand a connectivity issue between containers Publish a port so that an application is accessible externally Identify which IP and port a container is externally accessible on Describe the different types and use cases for the built-in network drivers Understand the Container Network Model and how it interfaces with the Docker engine, network, and IPAM drivers Configure Docker to use external DNS 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 Deploy a service on a Docker overlay network Describe the difference between “host” and “ingress” port publishing mode Domain 5: Security (15% of exam) Describe the process of signing an image Demonstrate that an image passes a security scan Enable Docker Content Trust Configure RBAC in UCP Integrate UCP with LDAP/AD Demonstrate creation of UCP client bundles Describe default engine security Describe swarm default security Describe MTLS Identify roles Describe the difference between UCP workers and managers Describe the process to use external certificates with UCP and DTR Domain 6: Storage and Volumes (10% of exam) State which graph driver should be used on which OS Demonstrate how to configure devicemapper Compare object storage to block storage and explain which one is preferable when available Summarize how an application is composed of layers and where those layers reside on the filesystem Describe how volumes are used with Docker for persistent storage Identify the steps you would take to clean up unused images on a filesystem, also on DTR Demonstrate how storage can be used across cluster nodes

CKA Curriculum V1.13.0 5% - Scheduling Use label selectors to schedule Pods. Understand the role of Daemon Sets. Understand how resource limits can affect Pod scheduling. Understand how to run multiple schedulers and how to configure Pods to use them. Manually schedule a pod without a scheduler. Display scheduler events. Know how to configure the Kubernetes scheduler. 5% - Logging/Monitoring Understand how to monitor all cluster components. Understand how to monitor applications. Manage cluster component logs. Manage application logs. 8% - Application Lifecycle Management Understand Deployments and how to perform rolling updates and rollbacks. Know various ways to configure applications. Know how to scale applications. Understand the primitives necessary to create a self-healing application. 11% - Cluster Understand Kubernetes cluster upgrade process. Facilitate operating system upgrades. Implement backup and restore methodologies. 12% - Security Know how to configure authentication and authorization. Understand Kubernetes security primitives. Know how to configure network policies. Create and manage TLS certificates for cluster components. Work with images securely. Define security contexts. Secure persistent key-value store. 7% - Storage Understand persistent volumes and know how to create them. Understand access modes for volumes. Understand persistent volume claims primitive. Understand Kubernetes storage objects. Know how to configure applications with persistent storage. 10% - Troubleshooting Troubleshoot application failure. Troubleshoot control plane failure. Troubleshoot worker node failure. Troubleshoot networking. 19% - Core Concepts Understand the Kubernetes API primitives. Understand the Kubernetes cluster architecture. Understand Services and other network primitives. 11% - Networking Understand the networking configuration on the cluster nodes. Understand Pod networking concepts. Understand Service networking. Deploy and configure network load balancer. Know how to use Ingress rules. Know how to configure and use the cluster DNS. Understand CNI. 12% - Installation, Configuration & Validation Design a Kubernetes cluster. Install Kubernetes masters and nodes. Configure secure cluster communications. Configure a Highly-Available Kubernetes cluster. Know where to get the Kubernetes release binaries. Provision underlying infrastructure to deploy a Kubernetes cluster. Choose a network solution. Choose your Kubernetes infrastructure configuration. Run end-to-end tests on your cluster. Analyze end-to-end test results. Run Node end-to-end tests.

Certified Kubernetes Application Developer (CKAD) Exam Curriculum v1.13.0 13% - Core Concepts Understand Kubernetes API primitives Create and configure basic Pods 18% - Configuration Understand Config Maps Understand Security Contexts Define an application’s resource requirements Create & consume Secrets Understand Service Accounts 10% - Multi-Container Pods Understand Multi-Container Pod design patterns (e.g., ambassador, adapter, sidecar) 18% - Observability Understand Liveness Probes and Readiness Probes Understand container logging Understand how to monitor applications in Kubernetes Understand debugging in Kubernetes 20% - Pod Design Understand how to use Labels, Selectors, and Annotations Understand Deployments and how to perform rolling updates Understand Deployments and how to perform rollbacks Understand Jobs and CronJobs 13% - Services & Networking Understand Services Demonstrate a basic understanding of Network Policies 8% - State Persistence Understand Persistent Volume Claims for storage

Complete Docker and Kubernetes (DCA+ CKA +CKAD)

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Overview

The Syllabus

Curriculum Designed by Experts

Open Source – Docker & Kubernetes

Docker

Docker – Overview
Docker – Installing Docker on Linux
Docker – Installation
Docker – Hub
Docker – Images
Docker – Images Lifecycle
Docker – Containers
Docker – Containers Lifecycle
Docker – Working With Containers
Docker – Architecture
Docker – Configuring
Docker – Containers & Shells
Docker – File
Docker – Building Files
Building a Web Server Docker File
Docker – Public Repositories
Docker – Managing Ports
Docker – Private Registries
Docker – Instruction Commands
Docker – Container Linking
Docker – Storage
Docker – Networking
Docker – Setting NGINX
Docker – Toolbox
Docker – Logging
Docker – Compose
Docker – Swarm

Kubernetes

Kubernetes – Overview
Kubernetes – Architecture
Kubernetes – Setup
Kubernetes – Images
Kubernetes – Jobs
Kubernetes – Labels & Selectors
Kubernetes – Namespace
Kubernetes – Node
Kubernetes – Service
Kubernetes – Pod
Kubernetes – Replication Controller
Kubernetes – Replica Sets
Kubernetes – Deployments
Kubernetes – Volumes
Kubernetes – Secrets
Kubernetes – Network Policy

Advanced Kubernetes

Kubernetes – API
Kubernetes – Kubectl
Kubernetes – Kubectl Commands
Kubernetes – Creating an App
Kubernetes – App Deployment
Kubernetes – Autoscaling
Kubernetes – Dashboard Setup
Kubernetes – Monitoring

AWS-Docker & Kubernetes

Elastic Container Registry
What Is Amazon Elastic Container Registry?
AWS EC2
AWS CLI Setup
Components of Amazon ECR
- Registry
- Authorization Token
- Repository
- Repository Policy
- Image
Commands
Elastic Container Service
- Docker Container Concepts
- An intro to Amazon ECS
- Terms and architecture
- Task Definition
- Task
- Service
- ECS Container Instances and ECS Container Agents
- Cluster
Elastic Kubernetes Service
- Overview: Installing Kubernetes
- Installing Dependencies
- Installing the Latest Kubernetes
- Exploring Your Kubernetes Installation
- Kubernetes Architecture and Design
- Achieving High-Availability
- Scaling Kubernetes
- Federation
- Configuration Best Practices
- Creating and Decoding Secrets
- Using Secrets in Applications
Overview: Docker Containerization
- Installing Docker and Building the Image
- Deploying Your Docker Container
- Interacting With Your Container
Hands-on Kubernetes on AWS

Azure-Docker & Kubernetes

Azure container registry
Docker Container Concepts
Deploying Containers
Multi-container Applications
Azure Container Registry
Azure Container Clustering Options
Installing ACS
Azure Container Service
- Introduction to Azure Container Service
Azure Container Instances
- Creating your first container in Azure
Azure Marketplace containers
Container orchestration
Azure Kubernetes Services
- What is AKS?
- Kubernetes core concepts for AKS
- Install the Kubernetes CLI
- Baseline architecture for an AKS cluster
- Clusters and workloads
- Access and identity
- Security
- Networking
- Storage
- Deploy an Azure Kubernetes Service (AKS) cluster
- Create a Kubernetes cluster
- Connect to cluster using kubectl
- Deploy the application
- Scale applications
- Update an application
- Upgrade Kubernetes

GCP-Docker & Kubernetes

Google Container Registry
- Overview
- Create Account
- Compute Engine
- Permissions
- Running an image
- Commands
Google Container Services
- Containers on Compute Engine
- Container technologies that run on Compute Engine
- Container-optimized VM images
- Installing container technologies on your instances
- Install Docker
- Permissions
Google Kubernetes Services
- Understanding the GKE Service Profiles
- Benefits of Using GKE
- Costing Model Used in GKE
- Using the GCP Calculator
- GKE Architecture
- Deploying an Application
- Kubernetes Components
- Basic Commands
- GKE Architecture
- GKE and IAM Requirements
- GKE Federation Requirements
- Kubernetes Cluster Actions
- Scale/Resize a Cluster

DCA

Domain 1: Orchestration (25% of exam)

Complete the setup of a swarm mode cluster, with managers and worker nodes
State the differences between running a container vs running a service
Demonstrate steps to lock a swarm cluster
Extend the instructions to run individual containers into running services under swarm
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
Increase # of replicas
Add networks, publish ports
Mount volumes
Illustrate running a replicated vs global service
Identify the steps needed to troubleshoot a service not deploying
Apply node labels to demonstrate placement of tasks
Sketch how a Dockerized application communicates with legacy systems
Paraphrase the importance of quorum in a swarm cluster
Demonstrate the usage of templates with “docker service create”

Domain 2: Image Creation, Management, and Registry (20% of exam)

Describe Dockerfile options [add, copy, volumes, expose, entrypoint, etc.]
Show the main parts of a Dockerfile
Give examples on how to create an efficient image via a Dockerfile
Use CLI commands such as list, delete, prune, rmi, etc. to manage images
Inspect images and report specific attributes using filter and format
Demonstrate tagging an image
Utilize a registry to store an image
Display layers of a Docker image
Apply a file to create a Docker image
Modify an image to a single layer
Describe how image layers work
Deploy a registry (not architect)
Configure a registry
Log into a registry
Utilize search in a registry
Tag an image
Push an image to a registry
Sign an image in a registry
Pull an image from a registry
Describe how image deletion works
Delete an image from a registry

Domain 3: Installation and Configuration (15% of exam)

Demonstrate the ability to upgrade the Docker engine
Complete setup of repo, select a storage driver, and complete installation of Docker engine on multiple platforms
Configure logging drivers (Splunk, journald, etc.)
Setup swarm, configure managers, add nodes, and setup backup schedule
Create and manage user and teams
Interpret errors to troubleshoot installation issues without assistance
Outline the sizing requirements prior to installation
Understand namespaces, cgroups, and configuration of certificates
Use certificate-based client-server authentication to ensure a Docker daemon has the rights to access images on a registry
Consistently repeat steps to deploy Docker engine, UCP, and DTR on AWS and on-premises in an HA config
Complete configuration of backups for UCP and DTR
Configure the Docker daemon to start on boot

Domain 4: Networking (15% of exam)

Create a Docker bridge network for a developer to use for their containers
Troubleshoot container and engine logs to understand a connectivity issue between containers
Publish a port so that an application is accessible externally
Identify which IP and port a container is externally accessible on
Describe the different types and use cases for the built-in network drivers
Understand the Container Network Model and how it interfaces with the Docker engine, network, and IPAM drivers
Configure Docker to use external DNS
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
Deploy a service on a Docker overlay network
Describe the difference between “host” and “ingress” port publishing mode

Domain 5: Security (15% of exam)

Describe the process of signing an image
Demonstrate that an image passes a security scan
Enable Docker Content Trust
Configure RBAC in UCP
Integrate UCP with LDAP/AD
Demonstrate creation of UCP client bundles
Describe default engine security
Describe swarm default security
Describe MTLS
Identify roles
Describe the difference between UCP workers and managers
Describe the process to use external certificates with UCP and DTR

Domain 6: Storage and Volumes (10% of exam)

State which graph driver should be used on which OS
Demonstrate how to configure devicemapper
Compare object storage to block storage and explain which one is preferable when available
Summarize how an application is composed of layers and where those layers reside on the filesystem
Describe how volumes are used with Docker for persistent storage
Identify the steps you would take to clean up unused images on a filesystem, also on DTR
Demonstrate how storage can be used across cluster nodes

CKA

CKA Curriculum V1.13.0

5% – Scheduling

Use label selectors to schedule Pods.
Understand the role of Daemon Sets.
Understand how resource limits can affect Pod scheduling.
Understand how to run multiple schedulers and how to configure Pods to use them.
Manually schedule a pod without a scheduler.
Display scheduler events.
Know how to configure the Kubernetes scheduler.

5% – Logging/Monitoring

Understand how to monitor all cluster components.
Understand how to monitor applications.
Manage cluster component logs.
Manage application logs.

8% – Application Lifecycle Management

Understand Deployments and how to perform rolling updates and rollbacks.
Know various ways to configure applications.
Know how to scale applications.
Understand the primitives necessary to create a self-healing application.

11% – Cluster

Understand Kubernetes cluster upgrade process.
Facilitate operating system upgrades.
Implement backup and restore methodologies.

12% – Security

Know how to configure authentication and authorization.
Understand Kubernetes security primitives.
Know how to configure network policies.
Create and manage TLS certificates for cluster components.
Work with images securely.
Define security contexts.
Secure persistent key-value store.

7% – Storage

Understand persistent volumes and know how to create them.
Understand access modes for volumes.
Understand persistent volume claims primitive.
Understand Kubernetes storage objects.
Know how to configure applications with persistent storage.

10% – Troubleshooting

Troubleshoot application failure.
Troubleshoot control plane failure.
Troubleshoot worker node failure.
Troubleshoot networking.

19% – Core Concepts

Understand the Kubernetes API primitives.
Understand the Kubernetes cluster architecture.
Understand Services and other network primitives.

11% – Networking

Understand the networking configuration on the cluster nodes.
Understand Pod networking concepts.
Understand Service networking.
Deploy and configure network load balancer.
Know how to use Ingress rules.
Know how to configure and use the cluster DNS.
Understand CNI.

12% – Installation, Configuration & Validation

Design a Kubernetes cluster.
Install Kubernetes masters and nodes.
Configure secure cluster communications.
Configure a Highly-Available Kubernetes cluster.
Know where to get the Kubernetes release binaries.
Provision underlying infrastructure to deploy a Kubernetes cluster.
Choose a network solution.
Choose your Kubernetes infrastructure configuration.
Run end-to-end tests on your cluster.
Analyze end-to-end test results.
Run Node end-to-end tests.

CKAD

Certified Kubernetes Application Developer (CKAD) Exam Curriculum v1.13.0

13% – Core Concepts

Understand Kubernetes API primitives
Create and configure basic Pods

18% – Configuration

Understand Config Maps
Understand Security Contexts
Define an application’s resource requirements
Create & consume Secrets
Understand Service Accounts

10% – Multi-Container Pods

Understand Multi-Container Pod design patterns (e.g., ambassador, adapter, sidecar)

18% – Observability

Understand Liveness Probes and Readiness Probes
Understand container logging
Understand how to monitor applications in Kubernetes
Understand debugging in Kubernetes

20% – Pod Design

Understand how to use Labels, Selectors, and Annotations
Understand Deployments and how to perform rolling updates
Understand Deployments and how to perform rollbacks
Understand Jobs and CronJobs

13% – Services & Networking

Understand Services
Demonstrate a basic understanding of Network Policies

8% – State Persistence

Understand Persistent Volume Claims for storage

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Skills Covered

Containerization Concepts
2.Docker Installation and Configuration
Docker Images
Docker Networking

Docker Volumes and Storage
Container Orchestration with Docker Swarm
Security Best Practices in Docker

Docker Logging and Monitoring
Registry Management
Backup and Restore in Docker

tool covered

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Global Certification

Docker Certified Associate (DCA)
Certified Kubernetes Administrator (CKA)
Certified Kubernetes Application Developer (CKAD)

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Complete Docker and Kubernetes (DCA+ CKA +CKAD) FAQs

What is the Complete Docker & Kubernetes (DCA + CKA + CKAD) Certification?

The Complete Docker & Kubernetes (DCA + CKA + CKAD) Certification is a comprehensive program designed to provide in-depth knowledge and hands-on experience with Docker and Kubernetes. It includes Docker Certified Associate (DCA), Certified Kubernetes Administrator (CKA), and Certified Kubernetes Application Developer (CKAD) certifications, covering all aspects of containerization, orchestration, and application deployment.

Who should pursue the Complete Docker & Kubernetes Certification?

This certification is ideal for IT professionals, developers, DevOps engineers, system administrators, and cloud architects who want to gain expertise in container technologies, application orchestration, and cloud-native development using Docker and Kubernetes.

What are the prerequisites for the Complete Docker & Kubernetes Certification?

While there are no strict prerequisites, having a basic understanding of Linux, cloud infrastructure, and virtualization will be beneficial. Prior experience with containerization technologies and application deployment will also be an advantage.

What is the difference between DCA, CKA, and CKAD certifications?

DCA (Docker Certified Associate) focuses on Docker fundamentals, including creating, managing, and deploying containers.
CKA (Certified Kubernetes Administrator) emphasizes Kubernetes cluster management, installation, and administration.
CKAD (Certified Kubernetes Application Developer) concentrates on developing, deploying, and managing containerized applications in Kubernetes environments.

What are the career benefits of obtaining the Complete Docker & Kubernetes Certification?

This certification provides a significant advantage in the IT industry by enhancing your skills in container orchestration and cloud-native application management. Certified professionals are in high demand for roles such as Kubernetes administrator, DevOps engineer, cloud architect, and containerization expert.

How long does it take to complete the Complete Docker & Kubernetes Certification?

The duration varies depending on your prior experience and the pace at which you study. Typically, it takes 3-6 months to prepare for and complete all three certifications (DCA, CKA, CKAD).

Is the Complete Docker & Kubernetes Certification exam difficult?

The difficulty level of the exams varies. The DCA is generally considered foundational, while the CKA and CKAD exams require a deeper understanding of Kubernetes concepts and hands-on experience. Adequate preparation, including practical labs and mock exams, can help you pass these certifications.

What kind of hands-on experience is required for the CKA and CKAD exams?

For CKA, you need hands-on experience with Kubernetes cluster setup, troubleshooting, and administration. CKAD focuses on deploying, scaling, and managing containerized applications. Practical labs and real-world projects are essential to passing these exams.

How do Docker and Kubernetes work together in cloud-native application development?

Docker provides a platform to package and run applications in isolated containers, while Kubernetes automates the deployment, scaling, and management of these containers. Together, they enable the efficient and scalable management of cloud-native applications.

Can the Complete Docker & Kubernetes Certification help with DevOps career growth?

Yes, mastering Docker and Kubernetes is crucial for DevOps roles. These technologies are fundamental for CI/CD pipelines, automating infrastructure, and managing microservices. This certification helps DevOps professionals streamline development, testing, and deployment processes.

What are the best resources for preparing for the Complete Docker & Kubernetes Certification?

Popular resources include official Docker and Kubernetes documentation, online courses, hands-on labs, Kubernetes Playground, Docker Hub, and community forums. Certifications-specific guides and practice exams are also highly recommended.

How much does the Complete Docker & Kubernetes Certification cost?

The cost of each certification exam varies:

Docker Certified Associate (DCA): Approximately $195 USD.
Certified Kubernetes Administrator (CKA): Around $395 USD.
Certified Kubernetes Application Developer (CKAD): Roughly $395 USD. Prices may vary based on location and exam providers.

How is Kubernetes better than Docker Swarm for container orchestration?

Kubernetes offers more advanced features than Docker Swarm, such as better scalability, more robust networking capabilities, self-healing features, and a broader ecosystem of tools for application management. Kubernetes is more widely adopted for large-scale production environments, while Docker Swarm is simpler and suited for smaller projects.

Is the Complete Docker & Kubernetes Certification suitable for cloud architects?

Yes, cloud architects will greatly benefit from this certification as it covers essential cloud-native tools like Docker and Kubernetes, which are widely used to design, build, and manage scalable applications in cloud environments.

How does the Complete Docker & Kubernetes Certification keep up with industry trends?

Docker and Kubernetes are at the forefront of cloud-native development and container orchestration. The certification curriculum is regularly updated to reflect the latest technologies, best practices, and industry standards, ensuring that certified professionals remain competitive in the job market.

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Most Probable Interview Questions Asked for Complete Docker and Kubernetes (DCA+ CKA +CKAD)

How do Kubernetes Pods differ from Docker containers, and what advantages do Pods offer when deploying applications in a Kubernetes cluster?
Describe the process of creating a Docker image from scratch. What are some common issues you might encounter during the build process and how would you troubleshoot them?
What is the role of Kubernetes namespaces, and how can they be used to effectively manage resources and isolate environments in a multi-tenant system?
How would you approach scaling a containerized application in Kubernetes to handle increased traffic, and what are the best practices for ensuring high availability?
Can you explain the key differences between Docker containers and virtual machines, and why Docker is more efficient for modern application deployment?

Explain the concept of a Helm chart and how it simplifies the deployment and management of applications in Kubernetes. How would you use Helm to manage multiple releases of the same application?
How would you monitor and troubleshoot issues in a Kubernetes cluster, including identifying resource bottlenecks, failed Pods, or network connectivity problems?
What is the importance of a Service in Kubernetes, and how does it facilitate communication between Pods within a cluster or between external clients and the application?
What strategies would you implement to secure a Kubernetes cluster, including managing role-based access control (RBAC) and securing communications between nodes and containers?
Can you explain how Docker Compose and Kubernetes YAML configuration files differ in terms of orchestration, and when would you choose one over the other?

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About Complete Docker and Kubernetes (DCA+ CKA +CKAD) Certification

The Complete Docker & Kubernetes (DCA + CKA + CKAD) Certification is a comprehensive course designed for professionals looking to master containerization and orchestration using Docker and Kubernetes. This certification combines the essential skills required to excel in three highly sought-after certifications—Docker Certified Associate (DCA), Certified Kubernetes Administrator (CKA), and Certified Kubernetes Application Developer (CKAD). The program equips individuals with the expertise needed to manage, deploy, and troubleshoot containerized applications in complex production environments, making it ideal for DevOps engineers, software developers, system administrators, and IT professionals.

Course Overview

The Complete Docker & Kubernetes (DCA + CKA + CKAD) Certification is structured to provide a deep understanding of both Docker and Kubernetes technologies. With a hands-on approach, participants will learn how to build, ship, and run distributed applications using Docker containers and orchestrate them using Kubernetes clusters.

Key Certifications Covered:

Docker Certified Associate (DCA): This module focuses on Docker fundamentals, including container management, storage, networking, image creation, and security. Participants will learn how to leverage Docker to create efficient and scalable applications.
Certified Kubernetes Administrator (CKA): This section covers the management and administration of Kubernetes clusters. Topics include installation, configuration, troubleshooting, monitoring, and security. The CKA certification validates the ability to handle the complexities of Kubernetes administration.
Certified Kubernetes Application Developer (CKAD): This module is designed for developers who want to create, configure, and manage applications in Kubernetes. Topics covered include Kubernetes architecture, application design, container configuration, multi-container pods, and monitoring.

Learning Objectives

By completing this certification, participants will:

Master Docker Fundamentals: Learn how to create, manage, and secure Docker containers for streamlined application development and deployment.
Deploy Kubernetes Clusters: Gain expertise in setting up and administering Kubernetes clusters, managing network policies, and handling persistent storage.
Develop Scalable Applications: Acquire the skills to develop, configure, and deploy applications on Kubernetes, utilizing advanced techniques like multi-container pod designs and service discovery.
Ensure High Availability: Understand how to ensure high availability and scalability in containerized environments by using Kubernetes features such as load balancing, rolling updates, and autoscaling.
Troubleshoot Issues: Build proficiency in identifying and resolving issues related to Docker containers and Kubernetes clusters in production environments.
Strengthen Security: Implement best practices for securing Docker containers and Kubernetes clusters, including RBAC (Role-Based Access Control) and network policies.

Who Should Enroll?

This course is ideal for:

DevOps Engineers: Looking to integrate containerization and orchestration into their workflows for better efficiency and scalability.
System Administrators: Seeking to expand their knowledge in managing Kubernetes clusters and Docker containers in large-scale infrastructures.
Cloud Engineers: Aiming to optimize their skills in deploying and managing containerized applications in cloud environments.
Software Developers: Wanting to enhance their ability to build and deploy applications using containerization technologies.
IT Professionals: Aspiring to advance their careers by acquiring industry-recognized certifications in Docker and Kubernetes.

Key Features

Hands-on Labs: Real-world projects and practical labs to reinforce the concepts and provide hands-on experience with Docker and Kubernetes.
Industry-Relevant Curriculum: A curriculum designed in collaboration with industry experts to ensure alignment with current trends and demands.
Certification Preparation: Focused modules and practice exams to help participants prepare for the DCA, CKA, and CKAD certification exams with confidence.
Expert Trainers: Learn from certified professionals with extensive experience in Docker and Kubernetes technologies.
Career Support: Get access to career guidance, resume building tips, and interview preparation resources to help you excel in the job market.

Benefits of Certification

Global Recognition: Docker and Kubernetes certifications are globally recognized, opening doors to high-demand roles in top tech companies.
Enhanced Skills: Gain a competitive edge by mastering containerization and orchestration technologies that are critical in modern cloud-native development.
Career Advancement: Certified professionals are highly sought-after for roles such as Kubernetes Administrator, Docker Engineer, DevOps Engineer, Cloud Architect, and more.
Higher Earning Potential: Certified professionals typically command higher salaries compared to their non-certified counterparts.

Applications of Complete Docker and Kubernetes (DCA+ CKA +CKAD)

The Complete Docker & Kubernetes (DCA + CKA + CKAD) Certification equips professionals with the skills to use containerization and orchestration in various real-world applications. By mastering Docker and Kubernetes, certified professionals can implement scalable, efficient, and secure solutions in modern IT environments. These technologies are widely adopted across industries for development, deployment, and management of cloud-native applications. Here are some key applications of the knowledge gained through this certification.

1. Cloud-Native Application Development

Docker and Kubernetes have become essential tools for building and deploying cloud-native applications. These applications are designed to run in cloud environments, making them highly scalable and resilient. Kubernetes allows developers to automate the deployment and scaling of containerized applications, while Docker enables consistent environments across development, testing, and production. Certified professionals can streamline the entire lifecycle of cloud-native applications, ensuring smooth and efficient operations.

2. DevOps and CI/CD Pipelines

One of the most significant applications of Docker and Kubernetes is in DevOps and Continuous Integration/Continuous Deployment (CI/CD) pipelines. Docker helps developers create isolated and reproducible environments, which can be used to test and deploy code more efficiently. Kubernetes automates the orchestration of these containers in production. With expertise in Docker and Kubernetes, professionals can implement CI/CD pipelines that enable rapid development, testing, and deployment cycles, enhancing the overall software delivery process.

3. Microservices Architecture

Microservices architecture, where applications are broken down into smaller, independent services, is now a common approach in modern software development. Docker containers provide the perfect environment for running microservices, and Kubernetes orchestrates them efficiently. With the Complete Docker & Kubernetes Certification, professionals can design, deploy, and manage microservices-based applications, ensuring fault tolerance and scalability. Kubernetes’ service discovery, load balancing, and rolling updates further ensure that microservices operate seamlessly.

4. Application Scaling and High Availability

Kubernetes excels in ensuring high availability and scalability for containerized applications. Certified professionals can configure Kubernetes clusters to automatically scale applications up or down based on demand, ensuring optimal resource usage and reducing downtime. This is especially useful in environments with fluctuating traffic, such as e-commerce platforms or SaaS applications. Docker containers make scaling applications easier, and Kubernetes manages the scaling process with ease, ensuring that businesses can handle traffic spikes without performance issues.

5. Container Orchestration in Hybrid and Multi-Cloud Environments

Organizations are increasingly adopting hybrid cloud and multi-cloud environments to enhance flexibility and reduce dependency on a single cloud provider. Kubernetes, being cloud-agnostic, is the perfect orchestration tool for managing containers across multiple cloud platforms or on-premises environments. With this certification, professionals can deploy and manage Kubernetes clusters in hybrid or multi-cloud setups, ensuring consistency, scalability, and ease of management across diverse infrastructures.

6. Automated Deployment and Management of Containers

Kubernetes simplifies the automated deployment and management of containers in production environments. It helps ensure that containers are deployed in the correct configuration and updated automatically. Through the skills learned in the CKA and CKAD certifications, professionals can deploy complex applications using Kubernetes, ensure continuous application availability, and manage container lifecycles with automation, including rolling updates, blue/green deployments, and auto-scaling.

7. Efficient Resource Utilization

Using Docker and Kubernetes, IT teams can ensure efficient use of computing resources. Kubernetes dynamically allocates resources to containers based on the application’s needs, reducing wastage and ensuring that resources are available when needed. Certified Docker and Kubernetes professionals can optimize infrastructure to lower costs and improve performance, making sure that resource utilization is aligned with business demands.

8. Disaster Recovery and Fault Tolerance

Kubernetes provides powerful features for disaster recovery and fault tolerance, ensuring that applications remain available even when failures occur. By mastering Kubernetes administration through the CKA certification, professionals can design fault-tolerant systems that automatically recover from failures, replicate services across nodes, and provide backup strategies that safeguard against data loss or downtime. This makes Docker and Kubernetes essential for mission-critical applications where uptime is crucial.

9. Security and Compliance

Docker and Kubernetes offer robust security features that allow organizations to enforce security policies and maintain compliance. With Docker, containers are isolated, reducing the attack surface for applications. Kubernetes adds additional layers of security by managing role-based access control (RBAC), network policies, and secret management. Certified professionals are well-equipped to implement security best practices, ensuring that applications are compliant with industry standards and secure against potential threats.

10. Edge Computing and IoT Deployments

With the rise of edge computing and IoT applications, Docker and Kubernetes have found new use cases. Edge devices often have limited resources, and Docker containers can be used to deploy lightweight applications on these devices. Kubernetes can orchestrate and manage these deployments across a network of edge devices. Certified professionals can use their knowledge to deploy and manage containerized applications across distributed edge environments, ensuring low latency and high availability for IoT applications.

Complete Docker and Kubernetes (DCA+ CKA +CKAD) Course Certification with Training in Bangalore

At Radical Technologies, we pride ourselves on being the leading institute in Bangalore for the Complete Docker & Kubernetes (DCA + CKA + CKAD) Course, Training & Certification. With a commitment to excellence and a focus on practical, hands-on learning, we empower our students to excel in the rapidly evolving world of cloud computing and containerization.

Our Complete Docker & Kubernetes Course in Bangalore is designed to equip professionals with the essential skills and knowledge needed to navigate the complexities of Docker and Kubernetes. We offer comprehensive Complete Docker & Kubernetes Training in Bangalore that combines theoretical concepts with practical applications, ensuring that our students gain a deep understanding of container orchestration and management.

Our programs are recognized for their quality and relevance, making us the preferred choice for those seeking Complete Docker & Kubernetes Certification in Bangalore. The curriculum covers all aspects of Docker and Kubernetes, providing our students with a robust foundation to succeed in their careers.

At Radical Technologies, we offer flexible learning options, including Complete Docker & Kubernetes Online Certification in Bangalore, allowing students to learn at their own pace and convenience. Our Complete Docker & Kubernetes (DCA + CKA + CKAD) Classes in Bangalore are led by industry experts who bring a wealth of experience to the classroom, providing insights that are critical for real-world applications.

We understand the importance of practical experience, which is why our Complete Docker & Kubernetes (DCA + CKA + CKAD) Training in Bangalore includes extensive hands-on labs and projects. Students gain the confidence and skills necessary to tackle challenges in container management and orchestration.

As the leading Complete Docker & Kubernetes Institute in Bangalore, we are dedicated to the success of our students. We offer personalized support and guidance throughout the training journey, ensuring that each student is well-prepared for the Complete Docker & Kubernetes (DCA + CKA + CKAD) Certification in Bangalore.

Join us at Radical Technologies and take your career to new heights with our Complete Docker & Kubernetes (DCA + CKA + CKAD) Course in Bangalore. Whether you’re looking to enhance your skills or launch a new career, we are here to help you achieve your goals.

Complete Docker and Kubernetes (DCA+ CKA +CKAD)

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Containerization Concepts

2.Docker Installation and Configuration

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Docker Logging and Monitoring

Registry Management

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Automation and CI/CD Pipeline Integration

Master Orchestration and Scaling

Security Best Practices

Troubleshooting and Debugging Skills

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Complete Docker and Kubernetes (DCA+ CKA +CKAD) FAQs

Complete Docker and Kubernetes (DCA+ CKA +CKAD) Course in Other Cities

Online Batches Available for the Areas

Most Probable Interview Questions Asked for Complete Docker and Kubernetes (DCA+ CKA +CKAD)

How do Kubernetes Pods differ from Docker containers, and what advantages do Pods offer when deploying applications in a Kubernetes cluster?

Describe the process of creating a Docker image from scratch. What are some common issues you might encounter during the build process and how would you troubleshoot them?

What is the role of Kubernetes namespaces, and how can they be used to effectively manage resources and isolate environments in a multi-tenant system?

How would you approach scaling a containerized application in Kubernetes to handle increased traffic, and what are the best practices for ensuring high availability?

Can you explain the key differences between Docker containers and virtual machines, and why Docker is more efficient for modern application deployment?