- A
Deploy a custom question-answering model using a dedicated Azure AI Language resource with a private endpoint and managed identity.
This provides secure access via private endpoint and managed identity, and dedicated resources ensure low latency and predictable cost.
- B
Use the public endpoint of Azure AI Language with Azure AD token-based authentication.
Why wrong: Public endpoint does not inherently restrict access to the company's tenant; it requires additional network controls.
- C
Deploy a serverless endpoint with Azure Functions and Azure Cognitive Search.
Why wrong: Serverless may have cold-start latency and is not ideal for frequent queries; also introduces more complexity.
- D
Use the prebuilt question-answering model from Azure AI Language with a custom answer list.
Why wrong: Prebuilt models cannot be customized with internal documents; they only answer from a predefined FAQ.
Quick Answer
The correct choice is to deploy a custom question-answering model using a dedicated Azure AI Language resource with a private endpoint and managed identity. This configuration ensures that only authenticated users from the company’s Azure Active Directory tenant can access the solution, as the private endpoint restricts network traffic to your virtual network, bypassing the public internet to minimize latency, while the managed identity securely authenticates the resource to Azure services without storing credentials, reducing operational cost by allowing you to right-size a dedicated (non-serverless) resource. On the AI-102 exam, this scenario tests your understanding of combining network isolation with identity-based access for custom question answering, often appearing as a trap where candidates mistakenly choose a public endpoint or a serverless SKU that incurs higher costs and exposes the service. Remember the mnemonic “PIM” for Private endpoint, Identity (Managed), and Minimal latency—if you need secure, low-latency access for internal documents, PIM is your deployment path.
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 building a custom question-answering solution using Azure AI Language. They need to ensure that the model can provide answers from a set of internal documents, but only to authenticated users from the company's Azure Active Directory tenant. The solution should minimize latency and cost. Which deployment option should the team choose?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Deploy a custom question-answering model using a dedicated Azure AI Language resource with a private endpoint and managed identity.
Option A is correct because deploying a custom question-answering model with a dedicated Azure AI Language resource, a private endpoint, and managed identity ensures that only authenticated users from the company's Azure AD tenant can access the solution via private network connectivity, minimizing latency by avoiding public internet routing and reducing cost by using a dedicated (not serverless) resource that can be right-sized.
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.
- ✓
Deploy a custom question-answering model using a dedicated Azure AI Language resource with a private endpoint and managed identity.
Why this is correct
This provides secure access via private endpoint and managed identity, and dedicated resources ensure low latency and predictable cost.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the public endpoint of Azure AI Language with Azure AD token-based authentication.
Why it's wrong here
Public endpoint does not inherently restrict access to the company's tenant; it requires additional network controls.
- ✗
Deploy a serverless endpoint with Azure Functions and Azure Cognitive Search.
Why it's wrong here
Serverless may have cold-start latency and is not ideal for frequent queries; also introduces more complexity.
- ✗
Use the prebuilt question-answering model from Azure AI Language with a custom answer list.
Why it's wrong here
Prebuilt models cannot be customized with internal documents; they only answer from a predefined FAQ.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume Azure AD token-based authentication alone is sufficient for security, overlooking that a public endpoint still exposes the service to internet-based attacks and latency, while private endpoints are required for true network isolation.
Detailed technical explanation
How to think about this question
A private endpoint uses Azure Private Link to assign a private IP address from the virtual network to the Azure AI Language resource, ensuring traffic never traverses the public internet. Managed identity allows the resource to authenticate to Azure AD without storing credentials, enabling fine-grained access control via RBAC. This setup is ideal for enterprise scenarios where compliance requires data exfiltration protection and low-latency access from within the same region.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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: Deploy a custom question-answering model using a dedicated Azure AI Language resource with a private endpoint and managed identity. — Option A is correct because deploying a custom question-answering model with a dedicated Azure AI Language resource, a private endpoint, and managed identity ensures that only authenticated users from the company's Azure AD tenant can access the solution via private network connectivity, minimizing latency by avoiding public internet routing and reducing cost by using a dedicated (not serverless) resource that can be right-sized.
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: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jun 11, 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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