Chatbots Chatbot Development and Integration 2 — Questions and Answers
Question 1: What is 'intent routing' in a chatbot backend?
- Network traffic load balancing
- The process of directing recognized user intents to the appropriate handler or business logic function (Correct answer)
- Database query optimization
- UI theme selection
Correct answer: The process of directing recognized user intents to the appropriate handler or business logic function
Intent routing maps each recognized intent to the correct code path that fulfills the user's request.
Question 2: Which data format is most commonly used for chatbot API request and response bodies?
- CSV
- JSON (Correct answer)
- XML only
- Binary
Correct answer: JSON
JSON is the de facto standard for chatbot API payloads due to its lightweight structure, human readability, and universal language support.
Question 3: What is a 'fallback API' integration used for in chatbots?
- Backing up conversation logs
- Querying a secondary knowledge source like a search engine when the bot's trained intents don't match (Correct answer)
- Resetting user sessions
- Formatting output text
Correct answer: Querying a secondary knowledge source like a search engine when the bot's trained intents don't match
Fallback APIs allow the bot to retrieve external information as a last resort, reducing dead-end conversations.
Question 4: What security practice is essential when integrating chatbots with third-party APIs?
- Hardcoding API keys in frontend code
- Storing API keys in environment variables and never exposing them in client-side code (Correct answer)
- Logging all API keys for debugging
- Sharing API keys in public repositories
Correct answer: Storing API keys in environment variables and never exposing them in client-side code
Environment variables keep sensitive credentials out of source code, preventing unauthorized access if the codebase is exposed.
Question 5: What is 'rate limiting' important for in chatbot API integrations?
- Improving UI rendering speed
- Preventing the bot from exceeding third-party API call quotas and incurring errors or costs (Correct answer)
- Encrypting user data
- Caching database queries
Correct answer: Preventing the bot from exceeding third-party API call quotas and incurring errors or costs
Rate limiting ensures the bot respects API usage limits, avoiding service interruptions and unexpected charges.
Question 6: What does 'graceful degradation' mean in chatbot system design?
- Gradually reducing bot features over time
- Maintaining core functionality when an integrated service fails, rather than crashing entirely (Correct answer)
- Slowing down responses to save resources
- Reducing NLP model size
Correct answer: Maintaining core functionality when an integrated service fails, rather than crashing entirely
Graceful degradation ensures the bot can still help users with basic tasks even when external APIs or services are temporarily unavailable.
Chatbots Chatbot Development and Integration 2
What is 'intent routing' in a chatbot backend?