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.
Your company uses Azure OpenAI to generate code snippets. Developers need to ensure that the generated code does not contain security vulnerabilities. What should you implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Integrate a static code analysis tool into the CI/CD pipeline to scan generated code
Option D is correct because integrating a static code analysis tool (e.g., Microsoft Defender for DevOps, SonarQube, or Checkmarx) into the CI/CD pipeline allows automated scanning of generated code for security vulnerabilities before deployment. This approach directly addresses the requirement to ensure generated code is free of vulnerabilities, as Azure OpenAI content filters are not designed to detect code-level security flaws like SQL injection or buffer overflows.
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.
✗
Set usage quotas to limit the number of code generation requests
Why it's wrong here
Quotas control volume, not code safety.
✗
Fine-tune the model on a dataset of secure code examples
Why it's wrong here
Fine-tuning can help but cannot guarantee security; vulnerabilities may still be generated.
✗
Configure Azure OpenAI content filters to block vulnerable code
Why it's wrong here
Content filters are not designed to detect code vulnerabilities.
✓
Integrate a static code analysis tool into the CI/CD pipeline to scan generated code
Why this is correct
Static analysis tools can detect vulnerabilities in generated code before deployment.
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 confuse Azure OpenAI content filters (which handle text-level safety) with code-level security scanning, leading them to incorrectly select Option C, while the correct approach requires a dedicated security analysis tool integrated into the development pipeline.
Detailed technical explanation
How to think about this question
Static code analysis tools use techniques like pattern matching, data flow analysis, and taint tracking to identify vulnerabilities such as SQL injection, command injection, and hardcoded secrets. In a CI/CD pipeline, these tools can be integrated as a gate (e.g., using Azure DevOps Pipeline tasks or GitHub Actions) to fail builds if critical vulnerabilities are found, ensuring only secure code proceeds. This is distinct from runtime protection (e.g., WAF) and complements Azure OpenAI's content safety filters, which operate at the text level rather than the code logic level.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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: Integrate a static code analysis tool into the CI/CD pipeline to scan generated code — Option D is correct because integrating a static code analysis tool (e.g., Microsoft Defender for DevOps, SonarQube, or Checkmarx) into the CI/CD pipeline allows automated scanning of generated code for security vulnerabilities before deployment. This approach directly addresses the requirement to ensure generated code is free of vulnerabilities, as Azure OpenAI content filters are not designed to detect code-level security flaws like SQL injection or buffer overflows.
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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