What is the wrong and right way to manage ML database secrets?
This tests secret management hygiene for ML pipelines. A strong answer rejects hardcoded secrets and env vars, then proposes AWS Secrets Manager with IAM retrieval, TLS, caching, and rotation. A red flag is suggesting .env files, ConfigMaps, or CLI arguments.
This tests whether you can spot dangerous secret anti-patterns in ML pipelines. A strong answer first rejects hardcoded strings, plain-text env vars, and committed config files, then designs a solution with AWS Secrets Manager, KMS encryption, IAM role-based access, client-side caching, and automatic rotation. It should also cover least-privilege IAM policies, VPC endpoints, and audit logging. A red flag is recommending Kubernetes ConfigMaps, .env files, or CLI arguments for secrets.
Read the original → docs.aws.amazon.com
- #mlops
- #secrets-management
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- #security
- #iam
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