Data Encryption at Rest and Transit Quiz

What you'll be asked

1. Which of the following best describes 'encryption at rest' in an MLOps pipeline?
2. When configuring TLS/SSL for an MLOps API endpoint serving model predictions, what is the primary security objective being addressed?
3. In a hybrid cloud MLOps environment, which protocol is considered best practice for securing data transit between on-premises data centers and cloud-based training clusters?
4. Your team is using a Cloud KMS (Key Management Service) to handle encryption for model artifacts in object storage. What is the benefit of using 'Customer Managed Encryption Keys' (CMEK) over 'Provider Managed Keys'?
5. An MLOps engineer is designing a pipeline where sensitive training data is stored in an encrypted S3 bucket. During the training job, the data must be decrypted in memory on the compute instance. Which approach provides the highest security for this 'in-use' data?

Answers and explanations come after you submit.