The primary goal of a Professional Machine Learning Engineer in this context is to ensure that the model's outputs are not only accurate but also align with the business objectives and are interpretable by stakeholders to facilitate informed decision-making. While accuracy is important, it is not the sole focus; the model must deliver actionable insights that address the business problem. Option E is also correct because both alignment with business objectives and model interpretability are critical for the model's success in a real-world scenario. Incorrect options focus on aspects that, while relevant, do not directly contribute to solving the business problem through model outputs.