Google Professional Data Engineer

Google Professional Data Engineer

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You are employed at a large financial institution that intends to implement Dialogflow to design a chatbot for the company's mobile application. After analyzing historical chat logs, you've categorized each conversation by intent, reflecting the reasons behind customers' interactions with customer service. Notably, around 70% of customer inquiries pertain to straightforward requests that can be resolved within 10 different intents. Conversely, the other 30% involve more extensive and complex requests. Which intents would be most suitable to automate initially?




Explanation:

The correct answer is A. Automating the 10 intents that cover 70% of the requests will free up live agents to handle more complicated requests. This approach follows the Pareto principle (80/20 rule), allowing the chatbot to manage high-volume simple cases efficiently while human agents address the more complex and lower-volume issues. This ensures that automation is used effectively for common, straightforward tasks, and human expertise is reserved for more demanding customer interactions.