- A
Expose endpoints publicly to simplify client access.
Why wrong: Public endpoints increase attack surface.
- B
Disable diagnostic logging to reduce data exposure.
Why wrong: Logging is important for security monitoring.
- C
Enable diagnostic settings to audit usage and detect anomalies.
Provides visibility into usage patterns.
- D
Share API keys among multiple applications for simplicity.
Why wrong: Sharing keys reduces security.
- E
Use managed identities to authenticate to Azure AI services.
Eliminates the need for keys in code.
Quick Answer
The answer is to use managed identities for authentication and enable diagnostic settings. Managed identities eliminate the need for storing credentials in code by providing an automatically managed Azure Active Directory identity, allowing Azure AI services to authenticate securely to other resources without exposing secrets. Enabling diagnostic settings captures logs and metrics for auditing, anomaly detection, and security monitoring, which is critical for maintaining visibility into service activity. On the AI-102 exam, these two practices are frequently paired as foundational security controls, often tested against traps like using API keys in connection strings or disabling logging to reduce costs. Remember the mnemonic “ID and Log” — Identity for access, Logging for visibility — to recall that securing Azure AI services requires both authentication hardening and operational monitoring.
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.
Which TWO of the following are best practices for securing Azure AI services?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Enable diagnostic settings to audit usage and detect anomalies.
Option C is correct because enabling diagnostic settings for Azure AI services allows you to collect and analyze logs and metrics, which is essential for auditing usage, detecting anomalies, and monitoring security-related events. This aligns with the security best practice of maintaining visibility into service activity to identify potential threats or misconfigurations.
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.
- ✗
Expose endpoints publicly to simplify client access.
Why it's wrong here
Public endpoints increase attack surface.
- ✗
Disable diagnostic logging to reduce data exposure.
Why it's wrong here
Logging is important for security monitoring.
- ✓
Enable diagnostic settings to audit usage and detect anomalies.
Why this is correct
Provides visibility into usage patterns.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Share API keys among multiple applications for simplicity.
Why it's wrong here
Sharing keys reduces security.
- ✓
Use managed identities to authenticate to Azure AI services.
Why this is correct
Eliminates the need for keys in code.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think exposing endpoints publicly is acceptable for simplicity (Option A) or that sharing API keys is harmless (Option D), but Azure's security model emphasizes least privilege and credential isolation.
Detailed technical explanation
How to think about this question
Managed identities (Option E) provide an automatically managed identity in Azure AD, allowing applications to authenticate to Azure AI services without storing credentials in code or configuration files. Under the hood, the Azure Instance Metadata Service (IMDS) endpoint at 169.254.169.254 is used to obtain tokens, which are then passed via the Authorization header using Bearer token authentication. This eliminates the need for API keys and reduces the risk of credential leakage.
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.
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Plan and manage an Azure AI solution — study guide chapter
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FAQ
Questions learners often ask
What does this AI-102 question test?
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 audit usage and detect anomalies. — Option C is correct because enabling diagnostic settings for Azure AI services allows you to collect and analyze logs and metrics, which is essential for auditing usage, detecting anomalies, and monitoring security-related events. This aligns with the security best practice of maintaining visibility into service activity to identify potential threats or misconfigurations.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
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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