Microsoft Certified: Azure AI Engineer AssociatePlan and manage an Azure AI solutionMedium
A startup is developing an Azure AI solution to provide real-time translation for customer support chats. The solution uses Azure Translator and Azure Text Analytics. The startup needs to minimize initial costs and only pay for what they consume, but also needs to ensure that the services can handle bursts of traffic without performance degradation. Which pricing tier and scaling approach should they choose for their Azure AI services?
- AFree (F0) tier for both services.
- BStandard (S) tier with manual scaling.
- CDedicated capacity with reserved instances.
- DStandard (S) tier with auto-scaling enabled.
Show answer & explanationAnswer & explanation
Correct answer: D. Standard (S) tier with auto-scaling enabled.
The Standard (S) tier for Azure AI services offers a pay-as-you-go model, minimizing initial costs, and supports auto-scaling to handle bursts of traffic without manual intervention or performance degradation. The Free tier has usage limits, and dedicated capacity is for predictable, high-volume workloads.
Why the other options are wrong
- A. The Free (F0) tier has significant usage limits and would not be suitable for a production solution expecting bursts of traffic.
- B. Manual scaling requires constant monitoring and intervention, which is not ideal for handling unpredictable bursts of traffic.
- C. Dedicated capacity with reserved instances is for predictable, high-volume workloads, not ideal for minimizing initial costs or handling unpredictable bursts without over-provisioning.
Azure AI Services Standard Tier Scaling
The Standard (S) tier for Azure AI services offers pay-as-you-go pricing and supports automatic scaling to accommodate varying workloads and traffic bursts.
- Billing based on consumption.
- Automatically scales to meet demand.
- Suitable for variable workloads and optimizing costs.
Memory trick: Standard scales smartly, saving cash.