Which practice is named in the exam guide as part of secure data engineering for AI systems?

• ARetaining all raw training data indefinitely so models can be reproduced.
• BGranting the data science team administrator access so preparation is not blocked.
• CStoring embeddings unencrypted, since they contain no readable text.
• DImplementing privacy enhancing technologies such as masking before data reaches training.