This comprehensive learning path is designed specifically to prepare you for the Docker Certified Associate (DCA) Certification. It includes a blend of interactive content, such as hands-on labs and video courses, crafted to align with the certification's objectives. This training material is carefully structured to support your study efforts effectively.
 
Learning Objectives:
The DCA certification evaluates your expertise in various domains defined by Docker, including:
Launching containerized applications using images from a centralized registry.
Distributing images within a cluster.
Handling and resolving issues reported by stakeholders.
Setting up and managing enterprise clusters with designated configurations.
Migrating traditional applications into container environments.
Managing and troubleshooting Docker engine configurations.
Performing routine maintenance and configuration tasks.
Your proficiency will be measured across six key domains, with each contributing to your total exam score:
Orchestration (25% of the exam)
Image Creation, Management, and Registry (20% of the exam)
Installation and Configuration (15% of the exam)
Networking (15% of the exam)
Security (15% of the exam)
Storage and Volumes (10% of the exam)
 
Intended Audience:
This path is ideal for those aiming to succeed in the Docker Certified Associate (DCA) certification exam.
 
Prerequisites:
While there are no formal prerequisites for this learning path, Docker recommends that candidates have six months to one year of practical experience with Docker, particularly Docker Enterprise Edition, before attempting the DCA exam. At this level, you should have:
A solid understanding of container security.
Familiarity with at least one cloud provider.
Experience with configuration management tools.
Proficiency in managing both Linux and Windows Server operating systems.
 
Courses:
Docker Certified Associate Training Series INE
Docker Certified Associate UDY
Docker Certified Associate DCA with Kubernetes PT
 
eBooks:
Accelerating Development Velocity Using Docker
Docker Containers
Docker Cookbook
Docker Deep Dive
Docker for Data Science
Docker In Action
Docker in Practice
Kubernetes Management Design Patterns
Kubernetes Microservices with Docker
Practical Docker with Python
Pro DevOps with Google Cloud Platform
Using Docker Developing and Deploying Software with Containers