Questions

1. What are the three key areas where Azure OpenAI can assist in preparing data?
   1. Optimizing query plans, handling large datasets, and dynamic query adjustments
   2. Cleaning textual data, identifying anomalies and outliers, and data imputation strategies
   3. Error handling strategies, guidance on complex transformations, and caching strategies
   4. Security and confidentiality, integration with existing workflows, and model explainability
2. In the example M code conversation between a user and ChatGPT, what step was taken to filter out products with sales less than $1,000?
   1. The Table.Buffer function
   2. A group by transformation
   3. A filtering step before a group by transformation
   4. A sorting step using the Table.Sort function
3. What challenge is associated with the dynamic nature of data requirements when using AI models for data cleaning?
   1. Model explainability
   2. Over-reliance on AI recommendations
   3. Ensuring query security and confidentiality
   4. Adapting quickly to shifting requirements
4. What is one of the...