Question 4: Multiple Choice—Today's Amazon Deals - https://amzn.to/3FeoGyg —--Which strategy has the greatest impact on the data quality in generative AI models?Options:1.Adopting a clear data acquisition, cleaning, and updating strategy2.Prioritizing legal and security considerations in AI applications3.Relying mostly on external public data sources for model training4.Investing primarily in processing power and data storageAnswer1.Adopting a clear data acquisition, cleaning, and updating strategyFeedback:Option 1:This option is correct. Having a clear data strategy, including acquisition, cleaning, management, and updating, is essential for providing high-quality data to power generative AI models that can produce reliable and accurate outputs.Option 2:This option is not correct. Legal and security considerations are crucial when implementing AI, but they are not the strategies that directly emphasize the importance of data quality.Option 3:This option is not correct. While public data sources can be valuable, relying mostly on them could limit the scope and effectiveness of the AI model.Option 4:This option is not correct. While processing power and data storage are essential for generative AI, this does not directly address the strategy that emphasizes the importance of data quality.