1
Understanding of AWS CloudFormation
This sub-skill measures a candidate's understanding of the CloudFormation service and its key concepts, including templates, stacks, resources, and parameters. Candidates should be able to explain the purpose of CloudFormation, how it integrates with other AWS services, and the benefits of using CloudFormation for infrastructure as code (IaC) deployments.
2
CloudFormation Template Authoring
This sub-skill measures a candidate's ability to create CloudFormation templates in JSON or YAML formats. Candidates should be able to write templates that define resources such as EC2 instances, RDS databases, and load balancers, and configure their properties and dependencies. They should also know how to use CloudFormation intrinsic functions to manipulate resource attributes.
3
CloudFormation Stack Management
This sub-skill measures a candidate's ability to manage CloudFormation stacks, including creating, updating, deleting, and rolling back stacks. Candidates should be able to use the AWS Management Console, AWS CLI, or AWS SDKs to perform stack operations, monitor stack status, and troubleshoot stack creation failures.
4
CloudFormation Security and Compliance
This sub-skill measures a candidate's understanding of CloudFormation security and compliance best practices. Candidates should be able to use AWS Identity and Access Management (IAM) to manage user access to CloudFormation resources, apply security policies to CloudFormation stacks, and ensure compliance with regulatory requirements.
5
Troubleshooting CloudFormation Templates
This sub-skill measures a candidate's ability to troubleshoot CloudFormation template errors and issues. Candidates should be able to use CloudFormation tools such as the CloudFormation console, AWS CloudTrail, and AWS CloudFormation StackSets to diagnose and resolve template errors and failures.
6
CloudFormation Integration with Other AWS Services
This sub-skill measures a candidate's understanding of how CloudFormation integrates with other AWS services. Candidates should be able to use CloudFormation to deploy resources in other AWS services such as Amazon S3, Amazon DynamoDB, and AWS Lambda, and configure cross-stack references and outputs.
7
Manage and Deploy Infrastructure as a Code
Manage and Deploy Infrastructure as Code skill in AWS CloudFormation allows users to define and provision AWS infrastructure resources in a declarative template format. This skill is crucial for automating the setup and configuration of AWS resources, ensuring consistency and repeatability in deployments. By using Infrastructure as Code, users can easily track changes, rollback deployments, and collaborate with team members effectively. This skill helps in reducing manual errors, increasing operational efficiency, and enabling faster deployments in a scalable and cost-effective manner.
8
Designing, implementing, and migrating systems using AWS
Designing, implementing, and migrating systems using AWS CloudFormation is a crucial skill for AWS professionals. CloudFormation allows users to define and provision AWS infrastructure in a code-like format, enabling automation and repeatability in deploying resources. This skill is important for streamlining the process of creating and managing infrastructure, reducing manual errors, and ensuring consistency across environments. By mastering CloudFormation, professionals can efficiently design, implement, and migrate systems in AWS, saving time and effort while improving the overall reliability and scalability of their infrastructure.
9
Knowledge of programming languages like JSON, YAML, and XML
Knowledge of programming languages like JSON, YAML, and XML is essential for working with AWS CloudFormation. These languages are used to define infrastructure as code, enabling users to automate the deployment and management of resources on the AWS platform. JSON, YAML, and XML are used to create templates that describe the configuration of resources, dependencies, and relationships between components in a structured and readable format. Having proficiency in these languages allows users to efficiently create, update, and manage their AWS infrastructure, ensuring consistency, scalability, and repeatability in their deployments.
