The answer is to disable public network access and use a private endpoint. This combination is recommended because a private endpoint assigns the Azure AI Language resource a private IP address within your virtual network, ensuring all traffic to the resource stays on the Microsoft backbone and never traverses the public internet. Disabling public network access then acts as a security gate, blocking any connection attempts that do not originate from that private endpoint. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario often tests your understanding of network isolation versus authentication—a common trap is confusing managed identity (which handles credential-less authentication to other services like Azure Storage) with network-level access control. Remember, managed identity secures *outbound* access from the AI resource, while the private endpoint secures *inbound* access to it. For a quick memory tip, think "Private for inbound, Managed for outbound" to keep the two layers distinct.
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 actions are recommended to secure an Azure AI Language resource?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use managed identities for authentication from Azure services
Managed identities allow Azure AI Language resources to authenticate to other Azure services (like Azure Storage or Azure Key Vault) without storing credentials in code or configuration. This eliminates the risk of access key leakage and aligns with the principle of least privilege, as the identity is tied to the resource lifecycle and can be granted granular RBAC permissions.
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.
✓
Use managed identities for authentication from Azure services
Why this is correct
Managed identities eliminate the need for hard-coded credentials.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable local authentication with access keys
Why it's wrong here
Access keys can be compromised; managed identity is more secure.
✓
Disable public network access and use a private endpoint
Why this is correct
Private endpoint ensures traffic stays within the Microsoft network.
Related concept
Read the scenario before looking for a memorised answer.
✗
Allow all Azure services through the firewall
Why it's wrong here
Allowing all Azure services broadens attack surface.
✗
Enable anonymous access for public APIs
Why it's wrong here
Anonymous access is not secure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume disabling public network access alone is sufficient, but they forget that managed identities are required to replace access keys for authentication from Azure services, making both A and C necessary together.
Detailed technical explanation
How to think about this question
Managed identities use Azure AD tokens obtained via the Azure Instance Metadata Service (IMDS) endpoint (169.254.169.254) or the App Service MSI endpoint, with a token lifetime of 8 hours by default. Private endpoints leverage Azure Private Link to map the Cognitive Services endpoint to a private IP in your virtual network, ensuring traffic never traverses the public internet and can be further secured with network security groups (NSGs). In a real-world scenario, a healthcare application using Azure AI Language for PHI analysis would combine managed identities for accessing patient data in Azure Blob Storage and a private endpoint to keep all traffic within a compliant network boundary.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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: Use managed identities for authentication from Azure services — Managed identities allow Azure AI Language resources to authenticate to other Azure services (like Azure Storage or Azure Key Vault) without storing credentials in code or configuration. This eliminates the risk of access key leakage and aligns with the principle of least privilege, as the identity is tied to the resource lifecycle and can be granted granular RBAC permissions.
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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