AWS Macie is a cloud-based data security service that uses machine learning to discover, classify, and protect sensitive data stored in Amazon S3. It's used in the real world to prevent data leaks, meet compliance requirements, and monitor data access risks. Interview questions often focus on its features, use cases, integration, and security capabilities. br br 🛡️ What Is AWS Macie? br Amazon Macie is a fully managed data security and privacy service offered by AWS. It uses machine learning and pattern matching to automatically discover and classify sensitive data such as: br br Personally Identifiable Information (PII) br Financial data br Credentials and access keys br Macie primarily works with Amazon S3 buckets, helping organizations understand where their sensitive data resides and how it's being accessed. br br 🌍 Real-World Use Cases br Here’s how AWS Macie is used in practice: br br Data Discovery & Classification: Automatically scans S3 buckets to identify sensitive data. br Compliance Support: Helps meet regulations like GDPR, HIPAA, and PCI-DSS by locating and securing sensitive information AWS Documentation Devopsschool.com. br Security Monitoring: Detects risky configurations, such as publicly accessible buckets or overly permissive access policies. br Alerting & Remediation: Generates findings when it detects potential data exposure or misconfigurations, which can be integrated with AWS Security Hub or automated via Lambda functions. br 💼 Common AWS Macie Interview Questions br Interviewers may ask a mix of conceptual, technical, and scenario-based questions.