The sequence of phases an ML project goes through: data ingestion, data preparation, model training, model deployment, and model management (ongoing monitoring and updates in production).
In GENAI-L (Domain 1, section 1.1) the exam asks about recognizing each stage and which Google Cloud tool corresponds to it (e.g. Cloud Storage/BigQuery for ingestion, Vertex AI for training and deployment, Model Monitoring for management).
Machine Learning lifecycle stages is a concept that can show up on the exam. Check the full guide to see it in context.