Microsoft Azure AI Engineer Associate AI-102 Practice Question
Your development team plans to run a proof-of-concept that calls the GPT-35-Turbo model in Azure OpenAI. During the two-week test, you expect peak traffic of 100 000 requests on the first two days and almost no traffic afterwards. You need to choose a deployment option that keeps the total cost as low as possible while still allowing the first-day peak traffic. Which option should you choose?
Purchase the 50K commitment tier and cancel it after the proof-of-concept ends.
Upgrade the Azure OpenAI resource to an S0 SKU before the test begins.
Reserve one provisioned throughput unit (PTU) for the model, then delete the reservation after two days.
Deploy the model with pay-as-you-go (consumption-based) pricing only.
Pay-as-you-go (consumption) pricing bills only for the tokens that are actually processed. Provisioned throughput units require you to reserve capacity for a minimum of one month and charge a fixed hourly fee, so reserving PTUs for just two days would still incur the full monthly cost, which is much higher than the pay-as-you-go charge for 100 000 short requests. Commitment tiers similarly require a month-long commitment. Upgrading the Azure OpenAI resource SKU has no impact on token pricing.
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Why is reserving Provisioned Throughput Units (PTUs) costly for short-term usage?
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Microsoft Azure AI Engineer Associate AI-102
Plan and manage an Azure AI solution
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