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| Section | Objectives |
|---|---|
| Topic 1: Operations and Troubleshooting | - Monitoring and administration
|
| Topic 2: Security Services | - Web and SaaS security controls
|
| Topic 3: Security Service Edge Fundamentals | - SSE architecture concepts
|
| Topic 4: Prisma SASE and Prisma Access | - Prisma Access deployment
|
| Topic 5: Secure Access and Zero Trust | - Zero Trust Network Access (ZTNA)
|
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NEW QUESTION # 48
Where are tags applied to control access to Generative AI when implementing AI Access Security?
Answer: C
Explanation:
AI Access Security extends Prisma Access ' s existing App-ID-based application classification model to the generative AI space, and the mechanism it uses to let organizations differentiate their risk tolerance across the rapidly growing number of AI applications in use is to apply status tags - sanctioned, tolerated, or unsanctioned - directly to the identified Generative AI applications themselves, mirroring the same governance pattern long used for SaaS Security application risk classification. Once an AI application carries one of these tags, Security policy rules and dashboards can reference that classification consistently across the environment, giving administrators a scalable way to express organizational policy (which AI tools are approved, which are tolerated with monitoring, and which are explicitly prohibited) without having to hand- build a separate access rule for every individual AI application discovered. This makes option A the correct answer, since the tag is applied at the application object level, not any of the other locations listed. Applying tags to Security rules (option B) inverts the actual relationship: rules reference the application ' s tag
/classification, they are not themselves the object being tagged. Tagging user devices (option C) would conflate device posture management with application classification, which are separate control domains in Prisma Access. Tagging Generative AI URL categories (option D) misattributes the classification mechanism to URL Filtering category objects, when AI Access Security ' s sanctioned/tolerated/unsanctioned tagging is applied to the discovered applications themselves via App-ID, not to a URL category construct.
Reference:AI Access Security - Sanctioned, Tolerated, and Unsanctioned Application Tagging.
NEW QUESTION # 49
During a deployment of Prisma Access (Managed by Strata Cloud Manager) for mobile users, a SAML authentication type and authentication profile in the Cloud Identity Engine application is successfully created.
Using this SAML authentication, what is a valid next step to configure authentication for mobile users?
Answer: B
Explanation:
After successfully creating aSAML authentication type and authentication profileinCloud Identity Engine
, the next step is toconfigure a corresponding SAML authentication profile in Strata Cloud Managerand link it to theCloud Identity Engine profile. This ensures thatPrisma Access (Managed by Strata Cloud Manager)can authenticate mobile users using the configured SAML identity provider (IdP), enabling seamless user authentication and access control.
NEW QUESTION # 50
An administrator is configuring a dedicated visitor sign-in kiosk in the main corporate office using Prisma Access Browser (PAB). A key security requirement is to ensure the device is locked down, which includes preventing users from creating paper copies of any on-screen information. The policy must specifically apply to this fixed-location kiosk. Which two PAB match criteria will enforce these restrictions on the kiosk?
(Choose two.)
Answer: B,C
Explanation:
Preventing paper copies of on-screen information is a data control problem, and PAB ' s actual, named control for this function is the Print control, which can be set to block printing for matching sessions - this is the correct, real mechanism, making option A correct; there is no separate, distinct " kiosk control " object in PAB ' s control set, which makes option B a fabricated distractor rather than a genuine configuration element.
The second requirement - ensuring the policy applies specifically and reliably to this one fixed-location kiosk device - is a matching-criteria problem, and the two candidate approaches offered are location-based scoping and network-based scoping. Location-based policy scope in PAB primarily relies on OS-level location services or GeoIP resolution, both of which are typically imprecise at the level of a single building or office floor and can be unavailable entirely on a locked-down, purpose-built kiosk device that may not have location services enabled or a rich OS profile reporting into it. Network-based scoping, by contrast, lets the administrator match specifically on the corporate office ' s known public IP range or CIDR block, which is a precise, reliable, and location-independent way to guarantee the rule applies consistently to traffic originating from that fixed premises regardless of GeoIP accuracy or device location-service availability - making option D the more dependable and correct match criterion for this exact scenario, and Location-based scope (option C) the weaker, less appropriate choice for a fixed, single-building kiosk enforcement requirement.
Reference:Prisma Access Browser - Print Data Control and Network-Based Policy Scope.
NEW QUESTION # 51
Which two Prisma Access Browser (PAB) configurations will provide a contractor SSH access to an internal system? (Choose two.)
Answer: A,D
Explanation:
SSH is fundamentally different from a standard HTTP/HTTPS-based internal web application, since it is a non-web, terminal-based protocol, and PAB accommodates protocols like SSH and RDP through a distinct capability generally referred to as Remote Connections rather than the standard internal web application publishing workflow. Enabling Remote Connections is the prerequisite platform capability that allows PAB to broker non-web protocol sessions such as SSH at all, making option B a necessary first configuration step.
Once that capability is enabled, the administrator must define the actual target system as a Remote Connection Application entry - specifying the internal host, port, and protocol (SSH in this case) the contractor needs to reach - and then build an Access & Data Control policy that authorizes the specific contractor or contractor group to reach that defined Remote Connection application entry, which is exactly what option C describes and is the configuration pairing that actually grants and governs the access. Option A describes " Internal Application entries " rather than " Remote Connection Application entries " - internal (web) application entries are the construct used for standard HTTP/HTTPS internal application publishing, not SSH, so this pairing misapplies the wrong application object type to a non-web protocol use case. Option D references " Internal Connections " as a toggle, which is not the correctly named capability for enabling non-web protocol brokering in PAB; the documented feature and terminology for SSH/RDP-style access is Remote Connections, not " Internal Connections. " Reference:Prisma Access Browser - Remote Connections for SSH/RDP Access to Internal Systems.
NEW QUESTION # 52
In addition to creating a Security policy, how can an AI Access Security be used to prevent users from uploading financial information to ChatGPT?
Answer: C
Explanation:
Preventing sensitive content specifically - such as financial information - from being uploaded to a generative AI application requires content-aware inspection capable of recognizing patterns like account numbers, financial statement data, or other regulated data types within the actual payload of the upload, which is precisely the function Enterprise DLP is designed to perform. AI Access Security integrates with Enterprise DLP so that an administrator can build a rule targeting the data patterns that constitute " financial information,
" and apply it specifically to traffic destined for sanctioned or monitored generative AI applications like ChatGPT, blocking the upload at the content level regardless of the file format or transport mechanism used.
This makes Enterprise DLP the correct complementary control to a Security policy, and option B the correct answer. File Blocking (option A) operates on file type and extension, not on the semantic content of a file or a text-based upload - it cannot selectively identify " financial information " within an otherwise permitted file type, so it is not a content-aware control suited to this requirement. URL Filtering (option C) governs access to categorized websites and can restrict or allow entire domains, but it has no capability to inspect the content of an upload for sensitive data patterns; it is a destination-control mechanism, not a data-loss-prevention mechanism. A vulnerability profile (option D) is designed to detect exploitation attempts against known software vulnerabilities, which is entirely unrelated to inspecting outbound user-submitted content for sensitive data.
Reference:AI Access Security - Enterprise DLP Integration for Generative AI Data Protection.
NEW QUESTION # 53
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