Quick Answer
Azure Monitor is the correct choice because it provides comprehensive telemetry for tracking Azure OpenAI Service usage and costs, including token consumption, request counts, and latency metrics that directly correlate to billing. This works because Azure OpenAI charges based on tokens processed, and Azure Monitor captures these operational metrics in real time, allowing you to set alerts for budget thresholds and analyze usage patterns through Log Analytics queries. On the Microsoft Azure AI Engineer Associate AI-102 exam, this concept tests your understanding of how to operationalize AI solutions—a common trap is confusing Azure Monitor with Azure Cost Management, but remember that Cost Management shows historical billing data while Azure Monitor gives you the live, granular metrics needed for proactive cost control. A useful memory tip is to think of Azure Monitor as your real-time dashboard for token traffic, while Cost Management is the monthly bill review.
This AI-102 practice question tests your understanding of implement generative ai solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are deploying a generative AI solution using Azure OpenAI Service. You need to monitor the usage and costs associated with the service. What should you use?
Microsoft Purview
Why wrong: Microsoft Purview is for data governance, not monitoring.
Azure Advisor
Why wrong: Azure Advisor provides recommendations, not monitoring.
Azure Cost Management
Why wrong: Azure Cost Management focuses on cost analysis, not usage metrics.
Azure Monitor
Azure Monitor provides metrics and logs for monitoring usage and costs.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Monitor
Azure Monitor is the correct choice because it provides detailed metrics, logs, and alerts for Azure OpenAI Service usage, including token consumption, request counts, and latency. This data is essential for tracking costs and usage patterns, as Azure OpenAI charges based on tokens processed. Azure Monitor integrates directly with the service to surface these operational metrics.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Microsoft Purview
Why it's wrong here
Microsoft Purview is for data governance, not monitoring.
Azure Advisor
Why it's wrong here
Azure Advisor provides recommendations, not monitoring.
Azure Cost Management
Why it's wrong here
Azure Cost Management focuses on cost analysis, not usage metrics.
Azure Monitor
Why this is correct
Azure Monitor provides metrics and logs for monitoring usage and costs.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates confuse high-level cost management (Azure Cost Management) with operational monitoring (Azure Monitor), failing to recognize that Azure Monitor provides the raw token-level data necessary for tracking generative AI usage and costs.
Detailed technical explanation
Azure Monitor collects metrics like 'TotalTokenCount', 'PromptTokenCount', and 'CompletionTokenCount' from Azure OpenAI Service via the 'Microsoft.CognitiveServices/accounts' resource provider. These metrics are emitted every minute and can be used to set up alerts for cost spikes or usage thresholds. In a real-world scenario, you might create a log query in Log Analytics to correlate token usage with specific deployment endpoints, enabling fine-grained cost allocation per application.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Monitor — Azure Monitor is the correct choice because it provides detailed metrics, logs, and alerts for Azure OpenAI Service usage, including token consumption, request counts, and latency. This data is essential for tracking costs and usage patterns, as Azure OpenAI charges based on tokens processed. Azure Monitor integrates directly with the service to surface these operational metrics.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
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