AWS aws-certification documentation change
Summary
Added 'Emerging topics' section covering AI-assisted development tools and security risks mitigation for AI services integration.
Security assessment
The change adds documentation about mitigating security risks when integrating AI services (data privacy, access management, input/output control, agent security). This constitutes security best practices documentation rather than addressing a specific vulnerability.
Diff
diff --git a/aws-certification/latest/developer-associate-02/developer-associate-02.md b/aws-certification/latest/developer-associate-02/developer-associate-02.md index 39c654cd9..fab794406 100644 --- a//aws-certification/latest/developer-associate-02/developer-associate-02.md +++ b//aws-certification/latest/developer-associate-02/developer-associate-02.md @@ -7 +7 @@ -IntroductionTarget Candidate DescriptionExam ContentContent outlineService ReferencesSurvey +IntroductionTarget Candidate DescriptionExam ContentContent outlineEmerging topicsService ReferencesSurvey @@ -24,0 +25,2 @@ The AWS Certified Developer - Associate (DVA-C02) exam is intended for individua + * Emerging topics + @@ -136,0 +139,4 @@ The exam includes 15 unscored questions that do not affect your score. AWS colle +### Exam duration + +You will have 130 minutes to complete your exam. + @@ -163,0 +170,23 @@ The exam has the following content domains and weightings: +## Emerging topics + +In addition to questions based on the content outline of this guide, you might also encounter questions about emerging technologies and practices that are becoming increasingly relevant to the Developer - Associate role. These topics represent evolving areas of competence and might appear as pretest questions on your exam. + +Questions on these emerging topics are included to evaluate new content and will not affect your exam score. These pretest questions help us ensure that our certifications remain current with evolving AWS technologies and best practices. + +These items may focus on the following skills: + + * Using AI-assisted development tools to generate, review, and optimize code (for example, spec-driven code generation, automated code reviews, intelligent code completion, refactoring suggestions, security scanning) + + * Identifying and mitigating security risks associated with using and integrating AI services into application development (for example, by using data privacy controls, implementing access management, controlling AI model inputs and outputs, securing AI agent interactions, preventing sensitive content from appearing in logs) + + * Using AWS AI tools to generate tests and automate repetitive testing workflows (for example, automated test execution, test result analysis, regression testing automation, test coverage) + + * Using AWS AI tools to support continuous integration and continuous delivery (CI/CD) workflows (for example, automated deployment approvals, environment provisioning, post-deployment validation) + + * Using AWS AI tools to analyze errors and to generate troubleshooting suggestions + + * Using AWS AI tools to identify optimization opportunities (for example, performance bottleneck detection, resource usage optimization, code efficiency improvement) + + + +