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テストに関する最も有用で効率的なF5CAB2トレーニング資料を提供するために最善を尽くし、クライアントが効率的に学習できるように複数の機能と直感的な方法を提供します。 F5CAB2の有用なテストガイドを学習すれば、時間と労力はほとんどかかりません。合格率とヒット率はともに高いため、テストに合格するための障害はほとんどありません。 Webで紹介を読んだ後、F5CAB2学習実践ガイドをさらに理解できます。
質問 # 48
An ecommerce company is experiencing latency issues with online shops during Black Friday's peak season. The BIG-IP Administrator detects an overall high CPU load on the BIG-IP device and wants to move the top utilized Virtual Servers to a dedicated BIG-IP device. Where should the BIG-IP Administrator determine the problematic Virtual Servers? (Choose one answer)
正解：A
解説：
Comprehensive and Detailed Explanation From BIG-IP Administration Data Plane Concepts documents:
When troubleshooting performance and latency issues on BIG-IP, especially under peak load conditions, it is critical to identify which Virtual Servers are consuming the most resources. This is a core data plane analysis task.
BIG-IP provides multiple views of configuration and status, but only certain areas expose real-time and historical traffic statistics that correlate directly with CPU usage and throughput.
Why Option C Is Correct:
Statistics > Module Statistics > Local Traffic > Virtual Servers provides:
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 to identify high-traffic or high-connection Virtual Servers, which are the most likely contributors to elevated CPU utilization These statistics allow the administrator to objectively determine which Virtual Servers are the top consumers of system resources and 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 a configuration view
Does not provide sufficient performance or utilization statistics to identify CPU-heavy Virtual Servers B . System > Platform Displays hardware-level information such as CPU cores, memory, disk, and platform type Does not break down utilization by Virtual Server D . Local Traffic > Network Map Provides a logical topology view of 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 on Module and object-level statistics, not configuration screens. The Virtual Server statistics view is the authoritative location for identifying traffic hotspots that directly impact CPU and latency during peak events such as Black Friday.
質問 # 49
An application is configured so that the same pool member must be used for an entire session, and this behavior must persist across HTTP and FTP traffic. A user reports that a session terminates and must be restarted after the active BIG-IP device fails over to the standby device.
Which configuration settings should the BIG-IP Administrator verify to ensure proper behavior when BIG-IP failover occurs? (Choose one answer)
正解：C
解説：
This scenario combines session continuity, multiple protocols (HTTP and FTP), and HA failover behavior
, which directly implicates persistence handling across devices and services.
Key Requirements Breakdown
* Same pool member for entire session
* Session must survive failover
* Session must span multiple services (HTTP and FTP)
Why Persistence Mirroring + Match Across Services Is Required
Persistence Mirroring
* Ensures persistence records are synchronized from the active BIG-IP to the standby BIG-IP.
* Without mirroring:
* After failover, the standby device has no persistence table
* Clients are load-balanced again
* Sessions break, forcing users to restart
* Persistence mirroring is essential for session continuity during failover Match Across Services
* Allows a single persistence record to be shared across multiple virtual servers / protocols
* Required when:
* HTTP and FTP must use the same pool member
* Multiple services are part of a single application session
Together, these settings ensure:
* Persistence survives device failover
* Persistence is honored across HTTP and FTP
Why the Other Options Are Incorrect
* A. Cookie persistence and session timeoutCookie persistence only applies to HTTP and does not address FTP or failover synchronization.
* B. Stateful failover and Network Failover detectionStateful failover applies to connection state, not persistence records, and does not link HTTP and FTP sessions.
* D. SYN-cookie insertion threshold and connection low-water markThese are DoS / SYN flood protection settings, unrelated to persistence or HA behavior.
質問 # 50
What type of virtual server should be used to load balance UDP traffic without considering previous connections?
正解：A
質問 # 51
Active connections to pool members are unevenly distributed. The load balancing method is Least Connections (member). Priority Group Activation is disabled.
What is a potential cause of the uneven distribution? (Choose one answer)
正解：C
解説：
With Least Connections (member), BIG-IP attempts to send new connections to the pool member with the fewest current connections. In a perfectly "stateless" scenario (no affinity), this often trends toward a fairly even distribution over time.
However, persistence overrides load balancing:
When a persistence profile is applied, BIG-IP will continue sending a client (or client group) to the same pool member based on the persistence record (cookie / source address / SSL session ID, etc.).
This means even if another pool member has fewer connections, BIG-IP may still select the persisted member to honor session affinity.
The result can be uneven active connection counts, even though the configured load balancing method is Least Connections.
Why the other options are not the best cause:
A . Priority Group Activation is disabled
Priority Group Activation only affects selection when priority groups are configured; disabling it does not inherently create uneven distribution under Least Connections.
B . SSL Profile Server is applied
A server-side SSL profile affects encryption to pool members, but it does not by itself cause skewed selection across pool members. (Skew could happen indirectly if members have different performance/latency, but that's not the primary, expected exam answer.) D . Incorrect load balancing method Least Connections is a valid method and does not itself explain unevenness unless something is overriding it (like persistence) or pool members are not all eligible.
Conclusion:
A persistence profile is the most common and expected reason that active connections become unevenly distributed, because persistence takes precedence over the Least Connections load-balancing decision.
質問 # 52
Which statement is true concerning cookie persistence?
正解：C
質問 # 53
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