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>> Question SD-WAN-Engineer Explanations <<
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NEW QUESTION # 12
The UI triggers incident DEVICESW_CONCURRENT_FLOWLIMIT_EXCEEDED for a branch site. Based in the image below, which tool can be used to identify the host?
Answer: B
Explanation:
When a Prisma SD-WAN ION device triggers the
DEVICESW_CONCURRENT_FLOWLIMIT_EXCEEDED incident, it indicates that the number of active sessions has reached the hardware or software-defined capacity limit of that specific appliance. In the provided graph, we can see a massive spike in concurrent TCP flows on May 13th, reaching nearly 500k, which is a clear indicator of anomalous behavior-likely a "top talker" host, a malware outbreak, or a misconfigured application generating excessive connections.
To identify the specific host responsible for this surge, administrators should navigate to Monitor # Activity
# Flows. This interface, commonly known as the Flow Browser, provides the most granular visibility into real-time and historical session data within the Prisma SD-WAN fabric. Unlike "Transaction Stats," which provide high-level summaries, or "New Flows," which only show the rate of session initiation, the Flows view allows an engineer to filter and sort the active session table by metadata such as Source IP, Destination IP, Application, and Site.
By utilizing the Flow Browser, an administrator can quickly group flows by "Source IP" to pinpoint exactly which internal host is consuming the most flow table entries. This is the standard "Day 2" operational workflow for troubleshooting performance and capacity incidents. While running a tcpdump (Option A) is a valid diagnostic for packet-level analysis, it is inefficient for identifying a single host among hundreds of thousands of flows and can further tax the device's CPU during a high-load event. The Monitor # Activity # Flows tool is designed specifically for this type of scale, providing the necessary visibility to remediate the flow limit exhaustion and restore normal network operations.
NEW QUESTION # 13
There are periodic complaints about the poor performance of a real-time application.
What can be inferred about the performance issue, based on the Network Transfer Time (NTT) and Server Response Time (SRT) image below?
Answer: D
Explanation:
In Prisma SD-WAN, application performance is monitored through distinct metrics that separate network health from application health. The provided graph displays Network Transfer Time (NTT) in blue and Server Response Time (SRT) in orange. NTT measures the round-trip time of packets traversing the WAN fabric, while SRT measures the time elapsed from when the server receives a request to when it sends the first response packet.
Analysis of the telemetry data shows that the NTT (blue line) remains consistently low and stable, generally staying below 100 milliseconds throughout the capture period. This indicates that the SD-WAN path and underlying network circuits are not the source of the latency. Conversely, the SRT (orange line) exhibits significant and erratic spikes, reaching as high as 450 to 475 milliseconds. These spikes occur while the network latency (NTT) remains flat.
Because the latency increases are isolated to the SRT metric, the root cause is confirmed to be on the Application Server side. This pattern typically suggests that the server is struggling with resource exhaustion, high CPU utilization, or database query delays during peak processing times. For a real-time application, these SRT spikes translate directly to jitter and "lag" for the end-user. By distinguishing between these two metrics, Prisma SD-WAN allows network administrators to prove that the network is performing within SLA and shift the troubleshooting focus to the application or server management teams, significantly reducing mean time to innocence (MTTI).
NEW QUESTION # 14
A customer wants to deploy Prisma SD-WAN ION devices at small home offices that use consumer-grade broadband routers. These routers typically use Symmetric NAT and do not allow static port forwarding.
Which standard mechanism does Prisma SD-WAN utilize to successfully establish direct Branch-to-Branch (Dynamic) VPN tunnels through these Symmetric NAT devices?
Answer: D
Explanation:
Comprehensive and Detailed Explanation
Prisma SD-WAN utilizes STUN (Session Traversal Utilities for NAT) to facilitate NAT Traversal for its Secure Fabric overlay.
Discovery: When an ION device connects to the internet behind a NAT router, it reaches out to the Prisma SD-WAN Controller. The controller acts as a STUN server, identifying the public IP address and port that the ION's traffic is originating from.
Symmetric NAT Challenge: In Symmetric NAT, the mapping changes for every destination. However, the Prisma SD-WAN architecture is designed to handle this by having the controller coordinate the connection attempt.
Hole Punching: The controller shares the discovered public mapping information between two peer ION devices. They then simultaneously initiate traffic to each other's public IP/Port (a technique called "UDP Hole Punching"). This tricks the intermediate NAT devices into allowing the inbound traffic, establishing a direct P2P IPSec tunnel without requiring manual port forwarding or static IPs at the edge.
NEW QUESTION # 15
When using the CloudBlade to integrate Prisma SD-WAN with Prisma Access, how does the system ensure that the IPSec tunnels between the branch ION and the Prisma Access Security Processing Node (SPN) are kept alive during periods of no user traffic?
Answer: D
Explanation:
Comprehensive and Detailed Explanation
The stability of VPN tunnels in the Prisma SD-WAN + Prisma Access integration relies on standard IPSec mechanisms.
Dead Peer Detection (DPD): The CloudBlade configuration automatically enables DPD on the IPSec tunnels it provisions.
Mechanism: DPD is a standard keepalive mechanism where the ION device sends periodic "R-U-THERE" messages to the Prisma Access gateway (and vice versa). If no acknowledgment is received after a specific count/timer, the ION marks the tunnel as down and attempts to re-key or switch to a backup path.
Synthetic Probes (B): While Synthetic Probes (part of ADEM or Path Quality monitoring) can be configured to measure latency/loss, the fundamental mechanism that keeps the IPSec security association (SA) active and detects link failure is DPD, not an application-layer probe.
NEW QUESTION # 16
Which component of the Prisma SD-WAN solution is responsible for the deep application identification (App-ID) and the generation of flow metrics (Network Transfer Time, Server Response Time) at the branch?
Answer: D
Explanation:
Comprehensive and Detailed Explanation
The ION Device Data Plane (the software running locally on the hardware appliance at the branch) is the component responsible for the heavy lifting of traffic analysis.
Edge Processing: Prisma SD-WAN uses an "Application-Defined" architecture. The ION device performs Deep Packet Inspection (DPI) on the first few packets of a flow to identify the application (e.g., distinguishing "Skype Video" from "Skype Chat").
Metric Calculation: The ION device timestamping engine calculates the performance metrics (RTT, NTT, SRT) in real-time as packets pass through its interfaces. It aggregates this metadata.
Role of Controller (B): The Controller collects and visualizes this data (Analytics), but it does not generate it. The Controller does not sit in the data path of the user traffic. If the ION relied on the controller for App-ID, latency would be unacceptably high. Therefore, all detection and metric generation happens locally on the ION Device.
NEW QUESTION # 17
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