AI-102 Plan and manage an Azure AI solution Practice Question
A company is planning to use Azure AI services. They require the ability to audit all API calls for compliance. Which THREE components should they enable?
⚠ Common exam trap
Watch out — candidates often confuse auditing (logging API calls) with security controls like RBAC or Managed Identity, mistakenly thinking that controlling access or identity automatically provides an audit trail, whereas auditing requires explicit diagnostic logging and a monitoring pipeline.
Answer choices
Why each option matters
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 correct because it provides a centralized platform for collecting, analyzing, and acting on telemetry data from Azure resources, including API call logs. By enabling diagnostic settings for the AI service, you can route audit logs (such as all REST API requests and responses) to Azure Monitor, which then integrates with Log Analytics for querying and alerting. This triad—Azure Monitor, Log Analytics workspace, and diagnostic settings—forms the complete pipeline required to audit all API calls for compliance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure Monitor
Why this is correct
Azure Monitor collects and analyzes logs from AI services.
- ✓
Log Analytics workspace
Why this is correct
Log Analytics stores log data for querying and auditing.
- ✓
Diagnostic settings for the AI service
Why this is correct
Diagnostic settings capture audit logs for the resource.
- ✗
Azure RBAC roles for the service
Why it's wrong here
RBAC is for access control, not auditing API calls.
- ✗
Managed identity for the service
Why it's wrong here
Managed identity is for authentication, not audit logging.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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