Chapter 15 – Making Life Easier with OpenAI

1. B – Cleaning textual data, identifying anomalies and outliers, and data imputation strategies – Azure OpenAI can assist in cleaning textual data, identifying anomalies and outliers, and implementing data imputation strategies
2. C – A filtering step before a group by transformation – The example conversation shows that to filter out products with sales less than $1,000, a filtering step is added before the group by transformation.
3. D – Adapting quickly to shifting requirements – Data cleaning and optimization requirements are often dynamic, and AI models may struggle to adapt quickly to shifting requirements
4. A – Over-reliance on AI recommendations – The chapter warned about the potential pitfall of over-reliance on AI recommendations without critical scrutiny, which may lead to suboptimal transformations