Which tool helps identify potential biases in machine learning models?

Correct answer: Azure Fairness Checker and Model Interpretability tools

Option C is correct because Azure provides Responsible AI tooling including Fairlearn for bias assessment and the Azure Machine Learning model interpretability SDK, which together help practitioners identify disparate impacts across demographic groups and explain model predictions to surface potential sources of bias. Option A is incorrect because Azure DevOps is a software development lifecycle platform covering CI/CD pipelines, repos, and work tracking, and has no built-in ML fairness analysis capability. Option B is incorrect because Azure Sentinel (now Microsoft Sentinel) is a cloud-native SIEM and SOAR solution focused on security event detection and response, not ML model evaluation. Option D is incorrect because Azure Backup is a data protection and disaster recovery service that stores copies of workloads and has no relationship to machine learning fairness or interpretability.