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NEW QUESTION # 68
A customer is implementing Prisma Access (Managed by Strata Cloud Manager) to connect mobile users, branch locations, and business-to-business (B2B) partners to their data centers. The solution must meet these requirements: The mobile users must have internet filtering, data center connectivity, and remote site connectivity to the branch locations. The branch locations must have internet filtering and data center connectivity. The B2B partner connections must only have access to specific data center internally developed applications running on non-standard ports. The security team must have access to manage the mobile user and access to branch locations. The network team must have access to manage only the partner access. Which two components can be provisioned to enable data center connectivity over the internet? (Choose two answers)
Answer: A,D
Explanation:
The determining factor in this question is " over the internet, " which separates two internet-transported connectivity methods from a third that is explicitly built to bypass the internet entirely. Service connections are the traditional method: they build an IPSec tunnel from the customer ' s data center edge device across the public internet to Prisma Access, requiring no private circuit or dedicated interconnect. ZTNA Connector achieves the same outcome through a different, more modern architecture - a lightweight, outbound-only connector deployed in the data center that establishes a secure, brokered tunnel to the nearest Prisma Access cloud gateway, again entirely over the internet, without requiring inbound firewall rules or a traditional IPSec peer relationship. Both therefore qualify as internet-transported private application access methods, making A and C correct. Colo-Connect is deliberately excluded because its entire value proposition is the opposite of internet transport: it delivers private, high-bandwidth connectivity to data centers using GCP Dedicated or Partner Interconnects, bypassing the public internet to achieve lower latency, lower jitter, and up to 100 Gbps of throughput - the architecture exists specifically for customers who want to avoid the internet as a transport medium. SD-WAN Connector is not a distinct Prisma Access private-application connectivity component in this context; Prisma SD-WAN integrates through ION devices acting as CPE for remote networks or service connections rather than as its own connector type.
Reference: Prisma Access - Service Connections, ZTNA Connector, and Colo-Connect for Private Application Access.
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NEW QUESTION # 69
Which two configurations will enable multiple paths from the MU-SPN to different SC-CAN elements inside the backplane of the Prisma Access tenant? (Choose two answers)
Answer: A,D
Explanation:
Redundant paths from the mobile user dataplane (MU-SPN) to service connections in different compute locations (SC-CAN) are not delivered by a single setting - they require two configuration steps performed together, and this two-step requirement is identical regardless of which platform manages the tenant. The first step is enabling Asymmetric Routing with Load Sharing on the service connection backbone routing options, which permits Prisma Access to use more than one service connection path rather than enforcing a strictly symmetric single path. On its own, however, this setting only prepares the backbone to tolerate multiple paths at the service-connection layer; it does not extend that redundancy to the mobile user side of the connection.
The second, equally necessary step is selecting the Enable Network Redundancy checkbox when onboarding mobile users, which is what actually establishes redundant network paths between the MU-SPN dataplane and service connections located in different compute locations. Without this second setting, mobile user traffic remains pinned to a single SC-CAN path even if the backbone itself supports asymmetric load sharing.
Because both settings are required together, and because the documented workflow is the same whether the tenant is managed by Strata Cloud Manager or by Panorama, options A and D are incomplete on their own, while B and C each correctly pair the platform with both required settings.
Reference: Prisma Access - Enable Mobile User Network Redundancy and Asymmetric Routing with Load Sharing for Service Connections.
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NEW QUESTION # 70
How can an engineer use risk score customization in SaaS Security Inline to limit the use of unsanctioned SaaS applications by employees within a Security policy?
Answer: D
Explanation:
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.
NEW QUESTION # 71
What must be configured to accurately report an application's availability when onboarding a discovered application for ZTNA Connector?
Answer: B
Explanation:
When onboarding a discovered application forZTNA Connector, configuring aTCP pingallows Prisma Access to accurately report the application'savailability.TCP ping(also known as aTCP connection check) verifies whether the application's service port isopen and responsive, ensuring that the application is reachable before allowing user connections. This method is more reliable thanICMP ping, as many cloud and SaaS applicationsblock ICMP trafficfor security reasons.
NEW QUESTION # 72
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: A
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 # 73
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