AI-102 Question 66
Select 3Your company uses Azure Cognitive Services to power its AI-based customer support chatbot. The team has noticed an unexpected increase in costs associated with the service over the past month. As the Azure AI solution architect, you need to recommend cost management strategies to optimize spending without compromising the chatbot's performance. Which actions should you take?
- A
Enable resource auto-scaling to adjust to varying usage demands.
- B
Select a higher pricing tier to support more concurrent requests.
- C
Implement rate limiting to control the number of API calls made by the chatbot.
- D
Use the Metrics feature in Azure Monitor to analyze API usage patterns.
- E
Move the service to a different region with lower pricing.
Show answer and explanation
Correct answers: A, C, D
Explanation
To manage costs for Azure AI services effectively, it is critical to adopt strategies that optimize resource usage and control unnecessary consumption. Auto-scaling ensures resources scale with demand, avoiding over-provisioning. Rate limiting helps limit excessive API calls, while Azure Monitor provides data-driven insights into usage patterns. These measures collectively help in reducing costs without compromising the chatbot's performance.
- A. Correct.
Enabling resource auto-scaling can optimize costs by adjusting resources dynamically based on demand, avoiding unnecessary over-provisioning.
- B. Incorrect.
Selecting a higher pricing tier increases costs rather than reducing them. It is not a cost-saving measure.
- C. Correct.
Implementing rate limiting can help manage costs by reducing excessive or unnecessary API calls made by the chatbot.
- D. Correct.
Using the Metrics feature in Azure Monitor provides insights into API usage patterns, helping identify inefficiencies or unnecessary consumption to optimize costs.
- E. Incorrect.
Moving the service to a different region may not always result in cost savings due to data residency requirements or added latency, and it is not a guaranteed cost optimization strategy.