Learn how to manage Azure AI costs effectively with Azure Monitor alerts. Discover strategies to detect overspending risks and optimize your e-commerce AI solutions.
Table of Contents
Question
Your organization, Nutex Corporation, plans to use Azure AI services to enhance its e-commerce application with features such as personalized recommendations, customer sentiment analysis, and automated customer support. As the use of Azure AI services increases, it becomes crucial to manage and control the associated costs effectively.
What should you do to avoid unexpected expenses and ensure overspending risks are detected?
A. Use Azure DevOps to monitor deployment pipelines for cost overruns.
B. Create cost management alerts in Azure Monitor to automatically notify stakeholders of spending anomalies and overspending risks.
C. Implement autoscaling rules in Azure Monitor to optimize resource usage.
D. Enable diagnostic logging in Azure Monitor to automatically notify stakeholders of spending anomalies and overspending risks.
Answer
B. Create cost management alerts in Azure Monitor to automatically notify stakeholders of spending anomalies and overspending risks.
Explanation
In the given scenario, you would create cost management alerts in Azure Monitor to automatically notify stakeholders of spending anomalies and overspending risks. Azure Monitor’s cost management alerts are specifically designed to track spending and notify stakeholders when costs exceed predefined thresholds. These alerts help organizations stay within budget by providing timely notifications of spending anomalies and potential overspending risks, allowing for the proactive management of Azure service costs.
Alerts are of two types; budget alerts and credit alerts. Budget alerts inform you when spending, based either on usage or cost, meets or surpasses the amount specified in the budget’s alert condition. You can create Cost Management budgets through the Azure portal or the Azure Consumption API. Credit alerts inform you when your Azure Prepayment (formerly known as monetary commitment) is depleted. This type of prepayment is available for organizations with Enterprise Agreements. Credit alerts are automatically triggered when 90% and 100% of your Azure Prepayment credit balance has been consumed. You can create alerts using Azure AI Studio.
You would not enable diagnostic logging in Azure Monitor to automatically notify stakeholders of spending anomalies and overspending risks. Diagnostic logging in Azure Monitor is used for collecting and analyzing diagnostic data to troubleshoot and improve application performance. It provides insights into the operation and performance of Azure services but is not specifically designed to track and notify stakeholders about cost anomalies or overspending risks.
You would not use Azure DevOps to monitor deployment pipelines for cost overruns. Azure DevOps is a powerful tool for managing CI/CD pipelines and ensuring efficient deployments. However, it is not designed for monitoring and managing Azure service costs. Azure DevOps is more suited for development and deployment workflows rather than financial monitoring.
You would not implement autoscaling rules in Azure Monitor to optimize resource usage. Autoscaling rules in Azure Monitor help optimize resource usage by automatically adjusting the number of instances based on demand. This can help control costs by ensuring resources are used efficiently. However, autoscaling does not address the need for tracking spending anomalies or providing cost alerts to stakeholders.
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