Finance reports that one business unit’s multi-agent experiment consumed the majority of the shared Azure OpenAI quota, starving production agents in other units. Leadership wants usage visibility by team, hard allocations, and chargeback. Which monitoring and management strategy addresses this?
Select an answer to reveal the explanation.
Short Explanation
Shared unlimited quota without attribution creates tragedy of the commons. You need usage metering by team, quotas/allocations, and chargeback—exactly the cost management strategy for multi-agent platforms. Hiding metrics, shared anonymous keys, and random billing do not control or fairly allocate cost. D is correct.
Full Explanation
Correct answer: D. Designing cost monitoring for multi-agent solutions includes usage, quotas, allocations, and chargebacks so platform capacity is governed fairly across teams and production is protected from experimental overconsumption.
A is incorrect because hiding cost prevents responsible optimization and governance.
B is incorrect because a single unrestricted shared key maximizes contention and eliminates accountability.
C is incorrect because chargeback without measured usage is arbitrary and does not change real-time quota behavior.
Exam focus: multi-agent platforms need quota and chargeback models, not only raw spend dashboards.