Developing intricate data visualizations to present customer data trends to stakeholders.

Manually tuning hyperparameters for all potential machine learning models to achieve the highest accuracy.

Translating the business challenge of personalizing customer experiences into a viable machine learning use case, including the design of an ML pipeline that considers data collection, preprocessing, modeling, and deployment.

Focusing solely on the deployment of machine learning models without considering the business context or scalability.

Both A and C are correct because data visualization and translating business challenges are equally important.