AWS Certified Developer Associate Training

1. Implement authentication and/or authorization for applications and AWS services.

• Identity federation (for example, Security Assertion Markup Language [SAML], OpenID Connect
• [OIDC], Amazon Cognito)
• Bearer tokens (for example, JSON Web Token [JWT], OAuth, AWS Security Token Service [AWS
• STS])
• The comparison of user pools and identity pools in Amazon Cognito Resource-based policies, service policies, and principal policies
• Role-based access control (RBAC)
• Application authorization that uses ACLs
• The principle of least privilege
• Differences between AWS managed policies and customer-managed policies
• Identity and access management

2. Implement encryption by using AWS services

• Encryption at rest and in transit Certificate management (for example, AWS Private Certificate Authority)
• Key protection (for example, key rotation)
• Differences between client-side encryption and server-side encryption
• Differences between AWS managed and customer managed AWS Key Management Service (AWS KMS) keys

3: Manage sensitive data in application code

• Data classification (for example, personally identifiable information [PII], protected health information [PHI]) Environment variables
• Secrets management (for example, AWS Secrets Manager, AWS Systems Manager Parameter Store)
• Secure credential handling

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1: Prepare application artifacts to be deployed to AWS

• Ways to access application configuration data (for example, AWS AppConfig, Secrets Manager, Parameter Store)
• Lambda deployment packaging, layers, and configuration options
• Git-based version control tools (for example, Git, AWS CodeCommit) Container images

2: Test applications in development environments

• Features in AWS services that perform application deployment
• Integration testing that uses mock endpoints
• Lambda versions and aliases

3: Automate deployment testing

• API Gateway stages
• Branches and actions in the continuous integration and continuous delivery (CI/CD) workflow
• Automated software testing (for example, unit testing, mock testing)

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1: Assist in a root cause analysis

• Logging and monitoring systems
• Languages for log queries (for example, Amazon CloudWatch Logs Insights)
• Data visualizations
• Code analysis tools
• Common HTTP error codes
• Common exceptions generated by SDKs
• Service maps in AWS X-Ray

2: Instrument code for observability

• Distributed tracing
• Differences between logging, monitoring, and observability
• Structured logging
• Application metrics (for example, custom, embedded, built-in)

3: Optimize applications by using AWS services and features

• Caching
• Concurrency
• Messaging services (for example, Amazon Simple Queue Service [Amazon SQS], Amazon Simple Notification Service [Amazon SNS])

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