F5CAB2 Dumps With Exact Questions and Answers

When troubleshootingperformance and latency issueson BIG-IP, especially under peak load conditions, it is critical to identify whichVirtual Servers are consuming the most resources. This is a coredata plane analysis task.

BIG-IP provides multiple views of configuration and status, but only certain areas exposereal-time and historical traffic statisticsthat correlate directly with CPU usage and throughput.

Why Option C Is Correct:

Statistics > Module Statistics > Local Traffic > Virtual Serversprovides:

Real-time and cumulative statistics per Virtual Server

Metrics such as:

Bits in / Bits out

Packets in / Packets out

Current connections

Connection rate

Total requests

The ability toidentify high-traffic or high-connection Virtual Servers, which are the most likely contributors to elevated CPU utilization

These statistics allow the administrator toobjectively determine which Virtual Servers are the top consumers of system resourcesand therefore good candidates for migration to a dedicated BIG-IP device.

Why the Other Options Are Incorrect:

A. Local Traffic > Virtual Servers > Virtual Server List

Primarily aconfiguration view

Does not provide sufficient performance or utilization statistics to identify CPU-heavy Virtual Servers

B. System > Platform

Displayshardware-level informationsuch as CPU cores, memory, disk, and platform type

Does not break down utilization by Virtual Server

D. Local Traffic > Network Map

Provides alogical topology viewof Virtual Servers, pools, and pool members

Useful for understanding relationships, but not for identifying high-utilization Virtual Servers

Key Data Plane Concept Reinforced:

To diagnose performance problems and plan traffic redistribution, BIG-IP administrators must rely onModule and object-level statistics, not configuration screens. TheVirtual Server statistics viewis the authoritative location for identifyingtraffic hotspotsthat directly impact CPU and latency during peak events such as Black Friday.

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When managing a large environment with hundreds of Virtual Servers, the most efficient way to identify the relationship between an iRule and the objects it manages is to view the properties of the iRule itself.

iRule Properties:Within the BIG-IP Configuration Utility, navigating toLocal Traffic > iRulesand selecting a specific iRule provides a "Statistics" or "Usage" tab (depending on the version). This view explicitly lists all Virtual Servers currently associated with that specific iRule.

Centralized Management:Instead of manually checking 235 individual Virtual Servers under the "Virtual Servers" menu, the iRules menu acts as a central point of reference for that specific logic.

Data Plane Impact:Because iRules can modify traffic flow, headers, and load balancing decisions, seeing the full list of affected Virtual Servers is critical before making adjustments to avoid unintended side effects across the application portfolio.