The correct answer is to enable diagnostic settings for the AI service, which routes API call logs to an Azure Monitor Log Analytics workspace. This triad—diagnostic settings, Azure Monitor, and Log Analytics—forms the complete pipeline for auditing API calls for Azure AI services, as diagnostic settings capture all REST API requests and responses, Azure Monitor provides the centralized platform for telemetry, and Log Analytics enables querying and alerting on the audit data. On the AI-102 exam, this scenario tests your understanding of the compliance monitoring pipeline, often appearing as a “select three” question where a common trap is choosing Azure Security Center instead of the Log Analytics workspace. Remember the memory tip: “DAL” for Diagnostic settings, Azure Monitor, and Log Analytics—these three components together ensure every API call is auditable for compliance.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. 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.
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?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
✓
Log Analytics workspace
Why this is correct
Log Analytics stores log data for querying and auditing.
Related concept
Read the scenario before looking for a memorised answer.
✓
Diagnostic settings for the AI service
Why this is correct
Diagnostic settings capture audit logs for the resource.
Related concept
Read the scenario before looking for a memorised answer.
✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that 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.
Detailed technical explanation
How to think about this question
Under the hood, diagnostic settings for an Azure AI service (e.g., Cognitive Services) can stream audit logs to a Log Analytics workspace using the Azure Diagnostics extension, which captures every REST API call including headers, request bodies, response codes, and timestamps. These logs are stored in the AzureDiagnostics table, enabling Kusto Query Language (KQL) queries for compliance reporting. In a real-world scenario, a financial services company might use this setup to detect unauthorized API usage patterns, such as repeated failed authentication attempts, by querying the `AzureDiagnostics` table with filters on `OperationName` and `ResultType`.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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