Exam Bundle

The relevant high-risk AI activity is correlated into an eligible investigation serves a different requirement. It does not resolve the specific issue addressed by the registered AI app is discovered and applicable protection signals are available.

The AI risk dashboard identifies relevant connected apps and data exposure signals serves a different requirement. It does not resolve the specific issue addressed by the registered AI app is discovered and applicable protection signals are available.

The inventory separates the intended enterprise and other AI app categories. That evidence would matter for An internal audit requests technical evidence for this requirement: An AI governance team needs to distinguish enterprise AI tools from unmanaged consumer tools. The owner authorizes a limited pilot before wider enforcement. but the current implementation is Review supported Purview AI data security controls for Entra-registered applications. The requirement being evaluated here is: An administrator wants to protect custom AI apps registered with Microsoft Entra.

Using supported data security AI activity monitoring and DLP activity evidence does not demonstrate the classification result required here: the registered ai app is discovered and applicable protection signals are available.

Using the DSPM for AI activity dashboards and appropriate reporting filters addresses a different data-protection mechanism. It does not provide the specific safeguard required here: review supported Purview AI data security controls for Entra-registered applications.

Assigning appropriate Purview DSPM for AI roles using least privilege addresses a different classification need. It does not demonstrate the registered AI app is discovered and applicable protection signals are available.

The relevant high-risk AI activity is correlated into an eligible investigation. That evidence would matter for An organization wants to detect high-risk AI use by employees already subject to insider risk review. but the current implementation is Review supported Purview AI data security controls for Entra-registered applications. The requirement being evaluated here is: A second Microsoft 365 business unit reports the following protection gap: An administrator wants to protect custom AI apps registered with Microsoft Entra. It needs a configuration that can be tested without a tenant-wide change.

The AI risk dashboard identifies relevant connected apps and data exposure signals serves a different requirement. It does not resolve the specific issue addressed by the registered AI app is discovered and applicable protection signals are available.

The inventory separates the intended enterprise and other AI app categories. That evidence would matter for An internal audit requests technical evidence for this requirement: An AI governance team needs to distinguish enterprise AI tools from unmanaged consumer tools. The owner authorizes a limited pilot before wider enforcement. but the current implementation is Review supported Purview AI data security controls for Entra-registered applications. The requirement being evaluated here is: A second Microsoft 365 business unit reports the following protection gap: An administrator wants to protect custom AI apps registered with Microsoft Entra. It needs a configuration that can be tested without a tenant-wide change.

Using supported data security AI activity monitoring and DLP activity evidence addresses a different data-protection mechanism. It does not provide the specific safeguard required here: configure supported Purview controls for Microsoft Foundry-connected AI applications.

Using the Microsoft Purview data security posture management for AI experience for discovery and assessment addresses a different classification need. It does not demonstrate pilot interactions surface in relevant AI activity and risk reporting views.

Using the DSPM for AI activity dashboards and appropriate reporting filters addresses a different data-protection mechanism. It does not provide the specific safeguard required here: configure supported Purview controls for Microsoft Foundry-connected AI applications.

The investigator finds relevant recorded AI interactions within the authorized scope serves a different requirement. It does not resolve the specific issue addressed by pilot interactions surface in relevant AI activity and risk reporting views.

The AI risk dashboard identifies relevant connected apps and data exposure signals. That evidence would matter for A division is preparing a scoped Microsoft 365 rollout for this business need: A company wants visibility into which enterprise AI apps access confidential Microsoft 365 content. The pilot must establish a technical control before it can expand. but the current implementation is Configure supported Purview controls for Microsoft Foundry-connected AI applications. The requirement being evaluated here is: A developer team uses Microsoft Foundry and wants data security monitoring around AI interactions.

The policy detects qualifying test AI interactions and records the effective response serves a different requirement. It does not resolve the specific issue addressed by pilot interactions surface in relevant AI activity and risk reporting views.

Using supported data security AI activity monitoring and DLP activity evidence addresses a different data-protection mechanism. It does not provide the specific safeguard required here: configure supported Purview controls for Microsoft Foundry-connected AI applications.

Assigning appropriate Purview DSPM for AI roles using least privilege addresses a different classification need. It does not demonstrate pilot interactions surface in relevant AI activity and risk reporting views.

Using the Microsoft Purview data security posture management for AI experience for discovery and assessment does not demonstrate the classification result required here: pilot interactions surface in relevant ai activity and risk reporting views.

The investigator finds relevant recorded AI interactions within the authorized scope serves a different requirement. It does not resolve the specific issue addressed by pilot interactions surface in relevant AI activity and risk reporting views.

The AI risk dashboard identifies relevant connected apps and data exposure signals. That evidence would matter for A division is preparing a scoped Microsoft 365 rollout for this business need: A company wants visibility into which enterprise AI apps access confidential Microsoft 365 content. The pilot must establish a technical control before it can expand. but the current implementation is Configure supported Purview controls for Microsoft Foundry-connected AI applications. The requirement being evaluated here is: A security controls assessment returns an unmet item: A developer team uses Microsoft Foundry and wants data security monitoring around AI interactions. A reviewer asks for the most direct supported remediation in the relevant Purview workload.

The policy detects qualifying test AI interactions and records the effective response serves a different requirement. It does not resolve the specific issue addressed by pilot interactions surface in relevant AI activity and risk reporting views.

Correct source permissions and apply sensitivity labels or DLP before exposing them to AI search addresses a different classification need. It does not demonstrate an agent test cannot retrieve content the invoking user is not authorized to access.

Configuring supported Purview controls for Microsoft Foundry-connected AI applications does not demonstrate the classification result required here: an agent test cannot retrieve content the invoking user is not authorized to access.

Implementing Microsoft Purview classification and labeling at the underlying content locations addresses a different classification need. It does not demonstrate an agent test cannot retrieve content the invoking user is not authorized to access.

A qualifying test interaction is retained under the relevant policy scope. That evidence would matter for A second Microsoft 365 business unit reports the following protection gap: A legal group must retain relevant Copilot prompts and responses where supported. It needs a configuration that can be tested without a tenant-wide change. but the current implementation is Apply least-privilege permissions and supported Microsoft Purview protection policies for connected content. The requirement being evaluated here is: A company uses Copilot Studio agents and wants to reduce unauthorized access to knowledge sources.

A test interaction honors item access and relevant protection restrictions serves a different requirement. It does not resolve the specific issue addressed by an agent test cannot retrieve content the invoking user is not authorized to access.

The investigation identifies whether protected generated content left the organization serves a different requirement. It does not resolve the specific issue addressed by an agent test cannot retrieve content the invoking user is not authorized to access.

Correct source permissions and apply sensitivity labels or DLP before exposing them to AI search addresses a different classification need. It does not demonstrate an agent test cannot retrieve content the invoking user is not authorized to access.

Configuring supported Purview controls for Microsoft Foundry-connected AI applications does not demonstrate the classification result required here: an agent test cannot retrieve content the invoking user is not authorized to access.

Implementing Microsoft Purview classification and labeling at the underlying content locations addresses a different data-protection mechanism. It does not provide the specific safeguard required here: apply least-privilege permissions and supported Microsoft Purview protection policies for connected content.

A qualifying test interaction is retained under the relevant policy scope serves a different requirement. It does not resolve the specific issue addressed by an agent test cannot retrieve content the invoking user is not authorized to access.

A test interaction honors item access and relevant protection restrictions serves a different requirement. It does not resolve the specific issue addressed by an agent test cannot retrieve content the invoking user is not authorized to access.

The investigation identifies whether protected generated content left the organization serves a different requirement. It does not resolve the specific issue addressed by an agent test cannot retrieve content the invoking user is not authorized to access.