A single Prisma Access instance is sufficient here because the segmentation the customer needs - security team managing mobile users and branch locations, network team managing only partner access - is an administrative RBAC problem, not a data-plane isolation problem. Strata Cloud Manager ' s configuration scope model (Mobile Users, Remote Networks, Service Connections, and the parent Prisma Access scope) lets an administrator be granted access to only the folders relevant to their function, so the security team can be scoped to the Mobile Users and Remote Networks containers while the network team is scoped to the private application/service connection objects used for B2B access. Deploying two separate Prisma Access instances (options A and C) is operationally wasteful and unnecessary: it doubles licensing overhead, duplicates infrastructure subnets and service connections, and is a pattern reserved for genuine tenant isolation requirements (distinct compliance boundaries, MSSP customers, or M & A separation), not simple team- based access segmentation. Using the broad Prisma Access configuration scope for everyone (option B) collapses all administrative boundaries and violates least privilege, since it would let the network team touch mobile user and branch policy. Scoping RBAC to the specific configuration scope (Mobile Users, Remote Networks, or the private access/service connection objects) within one instance cleanly satisfies both the connectivity requirements and the separation-of-duties requirement.
Reference:Strata Cloud Manager - Configuration Scope and Role-Based Access Control.

When multitenancy is enabled in Prisma Access (Managed by Panorama), a key characteristic is the isolation of resources between tenants. Palo Alto Networks documentation emphasizes that each tenant operates within its own logically separate Prisma Access environment. This includes dedicated compute instances, ensuring that the performance and security of one tenant are not impacted by the activities of another.
Let's analyze why the other options are incorrect based on official documentation:
A: Service connection licenses will be assigned only to the first tenant, and these service connections can be shared with the other tenants. This statement is incorrect. In a multitenant Prisma Access deployment, licenses are typically managed and allocated per tenant. While the underlying infrastructure might be shared by Palo Alto Networks, the logical resources and often the licensing are segmented for each tenant. Sharing service connections across completely separate tenants would violate the principle of tenant isolation.
B: A single tenant cannot consist solely of mobile users or solely of remote networks. This statement is incorrect. Prisma Access multitenancy allows for flexibility in how tenants are configured. A tenant can be designed to exclusively serve mobile users, exclusively connect remote networks, or a combination of both, depending on the organizational structure and requirements.
D: There is flexibility to manage different tenants using separate Panoramas, which allows for better organization and management of the multiple tenants. While it is possible to have multiple Panorama instances managing different parts of a large infrastructure, when discussing multitenancy within a single Prisma Access instance (as implied by the question "enabling multitenancy in Prisma Access (Managed by Panorama))", all configured tenants are managed by that single Panorama instance. Managing different tenants with separate Panoramas is a different architectural consideration, not a defining characteristic of enabling multitenancy within one Prisma Access deployment managed by a specific Panorama.
Therefore, the defining characteristic of Prisma Access multitenancy (Managed by Panorama) is the allocation of dedicated Prisma Access instances and compute resources for each tenant, ensuring logical separation and resource isolation

When authentication moves from LDAP-based Windows Active Directory to SAML with Microsoft Entra ID, the identity string the firewall receives for a given user typically changes format - Active Directory-style LDAP authentication commonly surfaces usernames in a sAMAccountName or domain\username form, while SAML assertions from Entra ID typically populate the NameID or subject using userPrincipalName (an email- style identifier). If group mapping was originally built and is still configured to match on the older AD-style attribute, it will no longer correctly correlate the identity string now being delivered via SAML with the correct directory group membership, causing existing group-based Security policy rules to stop matching even though authentication itself succeeds. The fix is to update the group mapping ' s User Attributes configuration so that it recognizes and correlates on userPrincipalName, aligning the attribute used for matching with the format Entra ID actually returns - this is precisely what option C describes and directly resolves the mismatch. Configuring a redistribution profile from the old GlobalProtect firewalls (option A) addresses migrating stale mapping data from the legacy platform, not the fundamental attribute-format mismatch introduced by switching to Entra ID SAML. Migrating group mapping to the Cloud Identity Engine via an AD query agent (option B) does not resolve the issue either, since the root problem is the mismatched attribute used for correlation, not the source of the group data itself. Changing the SAML Username Modifier (option D) affects how the username is formatted for display or session purposes, not how group mapping attribute correlation is performed for policy matching.
Reference:Prisma Access - User-ID Group Mapping Attribute Alignment for SAML/Entra ID Migrations.

Updating theCloud Services plugininPrisma Accessdoes not disrupt existing traffic flows because the upgrade process is designed to beseamless and transparent. Prisma Access ensures high availability by maintainingactive sessions and policieswhile applying the update in the background. This allows ongoing connections to continue without interruptions, minimizing impact on user experience.

SaaS Security Inline allows engineers to customize the risk scores assigned to different SaaS applications based on various factors. By manipulating these risk scores, you can influence how these applications are treated within Security policies.
To limit the use of unsanctioned SaaS applications:
* Lower the risk score of sanctioned applications:This makes them less likely to trigger policies designed to restrict high-risk activities.
* Increase the risk score of unsanctioned applications:This elevates their perceived risk, making them more likely to be caught by Security policies configured to block or limit access based on risk score thresholds.
Then, you would create Security policies that take action (e.g., block access, restrict features) based on these adjusted risk scores. For example, a policy could be configured to block access to any SaaS application with a risk score above a certain threshold, which would primarily target the unsanctioned applications with their inflated scores.
Let's analyze why the other options are incorrect based on official documentation:
* B. Increase the risk score for all SaaS applications to automatically block unwanted applications.
Increasing the risk score forallSaaS applications, including sanctioned ones, would lead to unintended blocking and disruption of legitimate business activities. Risk score customization is intended for differentiation, not a blanket increase.
* C. Build an application filter using unsanctioned SaaS as the category.While creating an application filter based on the "unsanctioned SaaS" category is a valid way to identify these applications, it directly filters based on the category itself, not the risk score. Risk score customization provides a more nuanced approach where you can define thresholds and potentially allow some low- risk activities within unsanctioned applications while blocking higher-risk ones.
* D. Build an application filter using unsanctioned SaaS as the characteristic.Similar to option C, using "unsanctioned SaaS" as a characteristic in an application filter allows you to directly target these applications. However, it doesn't leverage the risk score customization feature to control access based on a graduated level of risk.
Therefore, the most effective way to use risk score customization to limit unsanctioned SaaS application usage is by lowering the risk scores of sanctioned applications and increasing the risk scores of unsanctioned ones, and then building Security policies that act upon these adjusted risk scores.