Which service provides intelligent recommendations for improving application performance, efficiency, security, and code quality?

• A. AWS CodePipeline
• B. AWS CodeDeploy
• C. AWS CodeStar
• D. AWS X-Ray

Answer: (B)

Intelligent, ML-driven recommendations to improve how an application runs and how its code is written come from AWS CodeGuru. This service analyzes your code and its runtime behavior to surface actionable suggestions that can boost performance, enhance efficiency, improve security practices, and raise overall code quality. CodeGuru has two parts: Reviewer, which reviews code and pull requests to identify quality and security issues and propose fixes; and Profiler, which continuously analyzes runtime performance to identify hot spots, wasted CPU cycles, and other inefficiencies with guidance to optimize them.

The other services in the list have different primary roles. One automates the flow of building, testing, and deploying software. Another orchestrates deployment of applications to various environments. Another provides a centralized platform for managing project initiatives and collaboration. And a tracing tool helps you observe and diagnose performance characteristics across a distributed system, but it doesn’t automatically generate ML-powered recommendations for code quality or security.

So, the capability described—intelligent recommendations for performance, efficiency, security, and code quality—is a hallmark of CodeGuru, not the other services listed.