In the context of preparing data for Machine Learning models, a team is faced with the challenge of integrating diverse datasets from multiple sources. The datasets vary in format, contain missing values, and have inconsistent scales. The team's goal is to ensure the data is optimally prepared for analysis and model training, considering constraints such as time, cost, and the need for scalability. Which of the following steps are MOST critical to achieve this goal? (Choose two options if E is available, otherwise choose one.)