Question 967 of 969

Design solutions that align with security best practices and priorities →hardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to provision Azure OpenAI Service with a Data Processing Addendum (DPA), configure Content Filtering, use Microsoft Purview Data Classification, deploy Microsoft Defender for Cloud Apps session policies, and enable audit logging to Microsoft Sentinel. This combination directly addresses HIPAA compliance for Azure OpenAI by contractually preventing Microsoft from logging or storing data through the DPA, while Purview labels sensitive research data to enforce classification. Defender for Cloud Apps monitors and blocks data exfiltration in real time, and Sentinel’s anomaly detection catches prompt injection attacks. On the Microsoft Cybersecurity Architect exam, this scenario tests your ability to layer contractual, classification, and monitoring controls—a common trap is relying solely on Azure RBAC without the DPA, which fails the “no logging” requirement. Remember the mnemonic: **DPA, Purview, Defender, Sentinel**—four pillars to lock down AI data.

SC-100 Practice Question: Design solutions that align with security best practices and priorities

This SC-100 practice question tests your understanding of design solutions that align with security best practices and priorities. 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.

Proseware, a pharmaceutical company, is deploying a new AI-powered application using Azure OpenAI Service. The application will process sensitive research data and must comply with HIPAA. The security team wants to ensure that the data sent to the Azure OpenAI endpoint is not logged or stored by Microsoft, and that access to the service is restricted to authorized users with appropriate data classification. They also need to monitor for potential data exfiltration and prompt injection attacks. What should you recommend?

Question 1hardmultiple choice

Full question →

A
Use Azure OpenAI Service with default settings. Implement Microsoft Sentinel to detect threats. Use Azure Policy to enforce tagging of resources. Use Azure AD Conditional Access to require MFA for access.
Why wrong: Default settings may log data; does not address content filtering or exfiltration.
B
Use Azure OpenAI Service with a private endpoint. Deploy Azure Information Protection to classify data. Use Azure Firewall to restrict access. Implement Azure DDoS Protection.
Why wrong: AIP is deprecated; firewall does not protect against prompt injection.
C
Use Azure OpenAI Service with managed identity. Configure Conditional Access to restrict access by IP. Use Azure Monitor to track usage. Implement Azure Key Vault for API keys.
Why wrong: Does not prevent data logging or exfiltration.
D
Provision Azure OpenAI Service with a 'data processing addendum' (DPA) to ensure no data is stored or logged. Configure Content Filtering to block sensitive data. Use Microsoft Purview Data Classification to label research data. Use Microsoft Defender for Cloud Apps (part of Defender XDR) to create a session policy that monitors and blocks data exfiltration attempts. Enable audit logging to Microsoft Sentinel for anomaly detection.
Addresses data privacy, classification, and real-time exfiltration protection.

Full breakdown with real-world context →

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

✓

Provision Azure OpenAI Service with a 'data processing addendum' (DPA) to ensure no data is stored or logged. Configure Content Filtering to block sensitive data. Use Microsoft Purview Data Classification to label research data. Use Microsoft Defender for Cloud Apps (part of Defender XDR) to create a session policy that monitors and blocks data exfiltration attempts. Enable audit logging to Microsoft Sentinel for anomaly detection.

Option D is correct because it combines a Data Processing Addendum (DPA) to contractually prevent Microsoft from logging or storing data, Microsoft Purview Data Classification for labeling sensitive research data, and Microsoft Defender for Cloud Apps session policies to monitor and block data exfiltration. Additionally, enabling audit logging to Microsoft Sentinel provides anomaly detection for prompt injection attacks, fulfilling all HIPAA compliance and security requirements.

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 Azure OpenAI Service with default settings. Implement Microsoft Sentinel to detect threats. Use Azure Policy to enforce tagging of resources. Use Azure AD Conditional Access to require MFA for access.
Why it's wrong here
Default settings may log data; does not address content filtering or exfiltration.
✗
Use Azure OpenAI Service with a private endpoint. Deploy Azure Information Protection to classify data. Use Azure Firewall to restrict access. Implement Azure DDoS Protection.
Why it's wrong here
AIP is deprecated; firewall does not protect against prompt injection.
✗
Use Azure OpenAI Service with managed identity. Configure Conditional Access to restrict access by IP. Use Azure Monitor to track usage. Implement Azure Key Vault for API keys.
Why it's wrong here
Does not prevent data logging or exfiltration.
✓
Provision Azure OpenAI Service with a 'data processing addendum' (DPA) to ensure no data is stored or logged. Configure Content Filtering to block sensitive data. Use Microsoft Purview Data Classification to label research data. Use Microsoft Defender for Cloud Apps (part of Defender XDR) to create a session policy that monitors and blocks data exfiltration attempts. Enable audit logging to Microsoft Sentinel for anomaly detection.
Why this is correct
Addresses data privacy, classification, and real-time exfiltration protection.
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 often overlook the contractual Data Processing Addendum (DPA) as a requirement for HIPAA compliance, assuming technical controls alone suffice, and may confuse deprecated Azure Information Protection with the current Microsoft Purview solution.

Detailed technical explanation

How to think about this question

The Data Processing Addendum (DPA) is a contractual agreement under the Microsoft Online Services Terms that ensures Azure OpenAI Service processes data only as instructed and does not use it for model improvement or logging. Microsoft Defender for Cloud Apps session policies use reverse proxy architecture to inspect HTTP/HTTPS traffic in real time, enabling granular control over data exfiltration by blocking uploads of classified content. Audit logs sent to Microsoft Sentinel via the Azure Monitor agent allow detection of anomalous patterns like repeated prompt injection attempts using KQL queries.

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.

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FAQ

Questions learners often ask

What does this SC-100 question test?

Design solutions that align with security best practices and priorities — This question tests Design solutions that align with security best practices and priorities — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Provision Azure OpenAI Service with a 'data processing addendum' (DPA) to ensure no data is stored or logged. Configure Content Filtering to block sensitive data. Use Microsoft Purview Data Classification to label research data. Use Microsoft Defender for Cloud Apps (part of Defender XDR) to create a session policy that monitors and blocks data exfiltration attempts. Enable audit logging to Microsoft Sentinel for anomaly detection. — Option D is correct because it combines a Data Processing Addendum (DPA) to contractually prevent Microsoft from logging or storing data, Microsoft Purview Data Classification for labeling sensitive research data, and Microsoft Defender for Cloud Apps session policies to monitor and block data exfiltration. Additionally, enabling audit logging to Microsoft Sentinel provides anomaly detection for prompt injection attacks, fulfilling all HIPAA compliance and security requirements.

What should I do if I get this SC-100 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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Same concept, more angles

1 more ways this is tested on SC-100

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company is designing a security strategy for their AI-powered applications using Microsoft Azure OpenAI Service. They need to ensure that the AI models are not used to generate harmful content and that the data sent to the models is protected. Which Microsoft Purview feature should they use?

hard

A.Microsoft Purview Endpoint DLP
B.Microsoft Purview Information Protection
✓ C.Microsoft Purview Data Loss Prevention (DLP) for AI
D.Microsoft Purview Audit

Why C: Microsoft Purview Data Loss Prevention (DLP) for AI is the correct feature because it is specifically designed to monitor and control the data sent to and from AI applications, including Azure OpenAI Service, to prevent the generation of harmful content and protect sensitive data. It uses deep content analysis and policy-based controls to detect and block policy violations in real-time, directly addressing the dual requirements of content safety and data protection.

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