The correct option is Asking Copilot Chat to explain the intent of a confusing function from an external open source module and summarize how it works.

This is where Copilot Chat shines because it can read unfamiliar code, summarize what it does, explain inputs and side effects, and answer follow up questions. When engineers join a legacy analytics service they need fast comprehension of code they did not write, and Copilot Chat accelerates that onboarding by providing natural language explanations directly in the IDE or on GitHub.

It can use surrounding context to clarify how a function fits into the broader module and produce concise summaries that make it easier to modify or debug the legacy code. This delivers immediate productivity gains compared to tasks that require specialized security tooling or cloud platform configuration.

The option Generating a comprehensive security audit report that catalogs dependency risks and known CVEs for the entire codebase is incorrect because full vulnerability and dependency reporting is handled by GitHub security features such as Dependabot alerts and code scanning rather than by Copilot Chat.

The option Configuring Cloud Build and Cloud Deploy to run end to end tests across staging and production environments is incorrect because those are Google Cloud services that require pipeline configuration and platform permissions. Copilot Chat can help draft configuration files, yet this is not where it provides the largest productivity boost compared to explaining unfamiliar code.

The option Automatically tuning Cloud SQL queries to improve performance without developer involvement is incorrect because Copilot Chat cannot autonomously tune a managed database. It can suggest improvements when you share SQL, but it cannot execute or validate performance tuning changes in Cloud SQL on its own.

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