Which deployment method is best for real-time interaction, such as in a chatbot?

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BlackTom AI · Accepted Answer

The question asks which deployment method is best for real-time interaction, such as in a chatbot, so we need to evaluate how each option supports immediate, conversational responsiveness.
Option 1: Real-Time APIs. This choice directly aligns with real-time interaction, since APIs that support real-time communication (e.g., via WebSockets, long polling, or streaming responses) enable instantaneous request-response exchanges essential for chatbots. This makes it the strongest fit for real-time dialogue.
Option 2: <None of the provided answers>. Since Real-Time APIs clearly describe a method suitable for real-time interactions, this option is incorrect because there is at least one provided answer that matches the requirement.
Option 3: Batch Processing. Batch processing is designed for processing large volumes of data at scheduled intervals, not for immediate feedback or live conversations. It introduces latency that breaks real-time interaction expectations, so it is unsuitable here.
Option 4: Edge Deployment. While edge deployment can reduce latency by running services closer to users, it is a deployment strategy rather than a method explicitly guaranteeing real-time interactivity. It can help with responsiveness but does not inherently define the interaction mechanism as Real-Time APIs do. Therefore it is not the best descriptor for real-time interaction on its own.
Option 5: Offline Training. Offline training refers to model training performed without live data or users, which has no direct bearing on enabling real-time chat interactions. It is unrelated to deployment methods for live conversations, so it’s not appropriate for this question.

IS 4487-006 Fall 2025 Week 14 - Comprehension Quiz

Which deployment method is best for real-time interaction, such as in a chatbot?

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