The answer is to enable diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule. This configuration is correct because Azure AI Health Insights processes protected health information (PHI), and data masking rules in Log Analytics allow you to redact sensitive patterns—such as patient IDs or names—from logs before they are stored, ensuring HIPAA compliance while retaining operational telemetry. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of how to protect PHI logs within Azure AI services, often appearing as a trap where candidates mistakenly choose encryption-at-rest or access control options, which do not prevent PHI from appearing in raw log output. A key memory tip: think “mask before you store”—data masking acts as a proactive filter on the log stream, unlike reactive measures like encryption.
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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 healthcare organization uses Azure AI Health Insights to analyze patient data. They must ensure that PHI is not logged by the AI services. Which configuration should you apply?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule
Option B is correct because Azure AI Health Insights processes protected health information (PHI), and enabling diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule allows you to redact sensitive PHI from logs before they are stored. Data masking rules in Log Analytics can be configured to hide patterns like patient IDs or names, ensuring compliance with HIPAA while still retaining operational logs.
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.
✗
Disable all logging for the Azure AI resource
Why it's wrong here
Disabling logging may violate compliance requirements for auditability.
✓
Enable diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule
Why this is correct
Data masking rules can redact PHI before logging.
Related concept
Read the scenario before looking for a memorised answer.
✗
Configure the resource to use a system-assigned managed identity
Why it's wrong here
Managed identity does not affect logging content.
✗
Use Azure Policy to restrict logging to metadata only
Why it's wrong here
Azure Policy cannot ensure PHI is excluded from logs at runtime.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse disabling logging entirely (Option A) with selectively masking sensitive data, or they mistakenly think managed identities (Option C) or Azure Policy (Option D) can control log content, when in fact only data masking rules within diagnostic settings provide the required PHI redaction at the log ingestion layer.
Detailed technical explanation
How to think about this question
Data masking rules in Log Analytics use regex patterns to transform log data at ingestion time, replacing matched PHI fields (e.g., MRNs, SSNs) with a static placeholder like 'REDACTED'. This is distinct from Azure AI Content Safety filters, which operate on input/output text, not logs. In a real-world scenario, a healthcare organization might combine diagnostic settings with a Log Analytics workspace and a data masking rule to audit API calls for anomalies without exposing patient data in the log stream.
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: Enable diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule — Option B is correct because Azure AI Health Insights processes protected health information (PHI), and enabling diagnostic settings to stream logs to a Log Analytics workspace with a data masking rule allows you to redact sensitive PHI from logs before they are stored. Data masking rules in Log Analytics can be configured to hide patterns like patient IDs or names, ensuring compliance with HIPAA while still retaining operational logs.
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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