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200-901 Practice Question: A developer has created a Webex Teams bot that…
A developer has created a Webex Teams bot that listens for messages in a specific room and responds with information from an external database. The bot uses the Webex API's 'messages.create' method to post replies. During testing, the bot sometimes fails to respond, but no errors are logged. The developer checks the Webex Developer Portal and sees that the bot's rate limit is set to 10 requests per second. The bot's average load is 5 requests per second, but occasionally spikes to 15 requests per second for a few seconds. The developer wants to ensure the bot functions reliably without exceeding rate limits. Which approach should the developer implement?
⚠ Common exam trap
Cisco often tests the misconception that simply catching HTTP 429 errors and retrying immediately is sufficient, when in fact exponential backoff is required to avoid compounding the rate limit violation.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement a request queue that limits outgoing requests to 10 per second and uses exponential backoff on failure.
Implementing a request queue that limits outgoing requests to 10 per second and uses exponential backoff on failure ensures the bot respects the Webex API rate limit of 10 requests per second. The queue smooths out spikes (e.g., 15 req/s) by buffering excess requests, while exponential backoff handles any HTTP 429 responses gracefully by retrying after increasing delays, preventing further rate limit violations. This approach directly addresses the bot's intermittent failure without relying on external support or sacrificing functionality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement a request queue that limits outgoing requests to 10 per second and uses exponential backoff on failure.
Why this is correct
A token-bucket queue caps outbound calls at the 10 requests per second ceiling, smoothing the 15 rps spikes that currently trigger silent HTTP 429 responses. Exponential backoff then retries throttled requests after the Retry-After interval, so bursts are absorbed rather than dropped, keeping the bot responsive within its Webex API quota.
- ✗
Request a higher rate limit from the Webex API support team.
Why it's wrong here
A support-requested increase is slow, discretionary and unnecessary: the bot's 5-per-second average already sits under the 10-per-second limit, so only the spikes need smoothing. Raising limits is the right answer when sustained legitimate demand genuinely exceeds the published ceiling.
- ✗
Catch HTTP 429 (Too Many Requests) errors and immediately retry the request.
Why it's wrong here
Immediate retries during a 15-per-second spike compound the breach, since the API keeps rejecting until the window resets; 429 handling needs exponential backoff with jitter. Retry-on-429 is correct for transient throttling under a limit the workload otherwise respects.
- ✗
Reduce the bot's overall request rate to 5 per second to stay well within the limit.
Why it's wrong here
Throttling the whole bot to 5 per second discards the headroom the 10-per-second limit already permits, degrading responsiveness during normal load. It would be correct if average demand exceeded the ceiling. The spikes need buffering or backoff, not a permanent rate cut.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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