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NEW QUESTION # 62
In the Prisma SD-WAN portal, the Application Health dashboard assigns a color-coded "Health Score" (Green, Yellow, Red) to applications.
Which three metrics are combined to calculate this composite AppX (Application Experience) score? (Choose three.)
Answer: A,C,E
Explanation:
Comprehensive and Detailed Explanation
The AppX (Application Experience) score is a proprietary metric used by Prisma SD-WAN to provide a holistic view of user experience, rather than just network statistics. It is calculated based on three key components:
Transaction Failure Rate (A): The percentage of application transactions that failed (e.g., TCP resets, HTTP 500 errors). This indicates availability.
Network Transfer Time (B): The time taken for packets to traverse the network (WAN/LAN latency). This indicates network health.
Server Response Time (C): The time taken by the application server to respond to a request. This indicates backend performance.
Why not D or E?
Bandwidth Utilization (D) is a capacity metric, not a direct measure of quality. A link can be 90% full but still deliver packets quickly (good AppX), or 10% full but dropping packets (bad AppX).
Jitter (E) is a network-layer metric primarily relevant for UDP Real-Time media. While important, the high-level "AppX" score for general TCP apps focuses on the "Time-to-Glass" metrics (NTT/SRT) and success rates.
NEW QUESTION # 63
An administrator has configured a Zone-Based Firewall (ZBFW) policy on a branch ION. They created a rule to "Allow" traffic from the "Guest" zone to the "Internet" zone. However, users in the "Guest" zone are reporting they cannot reach a specific public website, and the Flow Browser shows the flow state as
"REJECT".
What is the most likely reason for this specific rejection, assuming the "Allow" rule is correctly placed at the top of the list?
Answer: A
Explanation:
Comprehensive and Detailed Explanation
In Prisma SD-WAN, security policies can be applied via Policy Stacks, which often have a hierarchy.
* Stack Precedence: A common configuration involves a Global Security Stack (applied to all sites) and a Local/Site Security Stack (specific to one site). If the administrator configured a "Global" rule that says "Deny Access to Gambling Sites" (or a specific IP list), and that rule is higher in the binding order or part of a higher-priority stack, it will enforce the block before the local "Allow Guest to Internet" rule is processed.
* Specifics of "REJECT": The state REJECT specifically implies a policy enforcement action (sending a TCP RST or ICMP Unreachable) rather than a silent drop or a routing failure.
* Why not A? If the "Allow" rule is at the top and matches the traffic parameters (Zone/IP), the Default Deny at the bottom would never be reached. The issue implies a higher priority Deny exists.
NEW QUESTION # 64
What is the default action for real-time media applications if link performance is poor?
Answer: C
Explanation:
Comprehensive and Detailed Explanation
According to the Prisma SD-WAN Performance Policy Default Behavior documentation, the default action configured for applications (including real-time media) when a path experiences poor performance (violates the SLA thresholds for latency, jitter, or packet loss) is to Move Flows.
The Prisma SD-WAN ION device continuously monitors the health of all available paths. If the active path for a media application degrades and fails to meet the specified SLA, the default policy dictates that the traffic should be steered (moved) to an alternate, compliant path that meets the performance criteria.
While Forward Error Correction (FEC) is a powerful feature available in Prisma SD-WAN to mitigate packet loss for real-time applications, it is an optional action that must be explicitly enabled or configured within the performance policy rules. It is not the default action in the base system configuration; the primary default mechanism for handling performance issues is to leverage the multi-path fabric to switch to a better link.
Reference: Prisma SD-WAN Administrator's Guide: Performance Policy Default Behavior
NEW QUESTION # 65
By default, how many days will Prisma SD-WAN VPNs stay operational before the keys expire when an ION device loses connection with the controller?
Answer: B
Explanation:
Comprehensive and Detailed Explanation
The Prisma SD-WAN (CloudGenix) solution is designed with a separation of the control plane (Controller) and the data plane (ION devices).1 In the event that an ION device loses connectivity to the Cloud Controller (often referred to as running in "headless mode"), the device continues to forward traffic and maintain existing VPN tunnels using the keys it currently holds.2 However, for security purposes, the VPN session keys (shared secrets) used for the Secure Fabric have a finite validity period. The system is designed such that these keys are rotated regularly.3 If the controller is unreachable, the ION device can continue to rotate keys locally and maintain the VPNs for a maximum default period of 72 hours (exactly 3 days).4 If the connection to the controller is not restored within this 72-hour window, the keys will eventually expire, and the ION will be unable to retrieve new authorized key material from the controller.5 Consequently, the VPN tunnels will go down, and the "out of shared secret key" error will be observed in the VPN status logs.
This mechanism ensures that a permanently compromised or stolen device cannot maintain network access indefinitely without central authorization.
NEW QUESTION # 66
A branch manager reports slow network performance, and the network administrator wants to use Prisma SD- WAN Copilot to quickly identify if a specific user, by source IP address, is consuming excessive bandwidth as well as which applications are contributing to this consumption. How can Copilot assist in this investigation?
Answer: D
Explanation:
Prisma SD-WAN Copilot is an AI-powered operational tool designed to simplify network management through Natural Language Processing (NLP). Traditionally, identifying a bandwidth "hog" required manual navigation through multiple dashboards, such as WAN Clarity and the Flow Browser, to correlate source IP addresses with specific application flows and timestamps. Copilot transforms this workflow by allowing administrators to interact with the system using conversational queries.
When an administrator inputs a query like "Show top bandwidth source IPs at SD-WAN Branch X over last 3 hours," Copilot leverages its underlying machine learning models and integrated data lake to aggregate telemetry across the entire fabric. It instantly identifies the specific source IPs responsible for the highest throughput and correlates that data with application visibility. Instead of providing a static report or redirecting the user to other tools, Copilot presents an interactive, summarized view directly within the interface. This view highlights the top-consuming users and breaks down their consumption by application, such as YouTube, Netflix, or business-critical SaaS tools.
This capability significantly reduces the Mean Time to Resolution (MTTR) for performance issues. By bypassing the need for manual data correlation, Copilot provides immediate "Day 2" operational insights. It effectively acts as a virtual assistant that understands the context of the network topology, site names, and time ranges, allowing the administrator to quickly determine if a branch's slow performance is due to an individual user's behavior or a broader infrastructure issue.
NEW QUESTION # 67
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