Question: Fill in the blank: The more ________ data you use to train a chatbot, the more effective your chatbot will be at answering queries accurately and efficiently. Select the correct answer, then submit.
- Basic
- Generic
- Relevant
Explanation
In Dialogflow, accuracy depends on how well the training data reflects real user intent. Training phrases are the examples the system uses to learn how to match user input to an intent. When the data is relevant to the actual questions users ask, the model can classify requests more accurately and respond more efficiently. Generic or loosely related data gives weaker signals, so matching becomes less reliable. Google Cloud Documentation+2Google Cloud Documentation+2
Why the other options are incorrect
Basic Simplicity alone does not improve intent matching; the key factor is whether the training data reflects real user queries. Google Cloud Documentation+1
Generic Broad examples are less effective because training phrases should help the model distinguish the right intent from actual user input. Google Cloud Documentation+1
Source for verification
https://docs.cloud.google.com/dialogflow/cx/docs/concept/intent
https://docs.cloud.google.com/dialogflow/cx/docs/concept/agent-design
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