A city open-data narrator expects a council-meeting livestream Q&A spike. How should PTU capacity be handled?

Scaling provisioned throughput units ahead of the planned livestream Q&A demand spike is the correct PTU handling for a city open-data narrator expecting council-meeting traffic. Known calendar events allow proactive capacity: GenAIOps should raise PTUs before the livestream so Q&A answers remain available when viewers ask about open data during the meeting. Scaling provisioned throughput units during the livestream Q&A demand spike as usage rises is a capacity-planning miss for civic communications.

Scaling provisioned throughput units during the livestream Q&A demand spike as usage rises fails because PTU changes take time to take effect and will not be ready at the start of the surge, leaving Q&A answers throttled during the exact window when answers must stay available. Enabling dynamic autoscaling of provisioned throughput for the planned livestream Q&A spike fails because provisioned throughput does not automatically scale in time for a known surge and still requires proactive PTU increases before the event, instead of the proactive PTU scaling the planned livestream event calls for. Scaling provisioned throughput units in a paired region ahead of the livestream Q&A spike fails because PTU capacity is regional to the deployment serving the Q&A traffic and extra quota elsewhere cannot absorb the forecast spike; the stem calls for scaling PTUs ahead of demand in the serving region, not adding capacity where the load does not arrive.

Exam caveat: proactive PTU scaling applies to scheduled civic spikes; scaling provisioned throughput units during the spike as usage rises is the common wrong answer. Distinguish this from early pilots that should not buy PTUs without evidence.

Operational check: add council livestream dates to the capacity calendar, scale PTUs before start, monitor Q&A latency during the event, and scale down after the spike window per FinOps policy.