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Application-specific health checks must validate application responses, which requires HTTP monitors with custom send/receive strings.

The requirement states that load balancing decisions must be based on the number of active connections on each pool member. This directly maps to the Least Connections (member) load balancing method.

According to the BIG-IP Administration: Data Plane Configuration documentation:

Least Connections (member) selects the pool member with the fewest active connections at the time of the request.

This method dynamically adapts to real-time traffic patterns and ensures that more heavily loaded pool members receive fewer new connections.

It is especially effective for web servers where connection duration may vary and equal distribution of active sessions is desired.

Why the other options are incorrect:

B. Round RobinDistributes connections sequentially without considering current load or active connections.

C. Ratio (member)Distributes traffic based on static ratios, not real-time connection counts.

D. Ratio (node)Uses predefined ratios at the node level and does not account for active connection counts.

Correct Resolution:

Using Least Connections (member) ensures that new connections are directed to the pool member currently handling the fewest active connections, meeting the stated requirement.

HTTP Compression on a BIG-IP system is an optimization feature that reduces the size of HTTP responses sent to clients, thereby saving bandwidth and improving page load times for end-users. To implement this functionality on a Virtual Server, the system requires two specific profiles to work in tandem: an HTTP profile and a Compression profile.

The HTTP profile (Option E) is a prerequisite because compression is an application-layer (Layer 7) operation. The BIG-IP must be " HTTP-aware " to parse the incoming requests and outgoing responses. The HTTP profile allows the BIG-IP to inspect the Accept-Encoding header from the client (to see if the client supports gzip or deflate) and to modify the Content-Encoding and Vary headers in the server ' s response. Without the HTTP profile, the Virtual Server operates at Layer 4 (TCP) and sees the traffic only as an opaque stream of bytes, making compression impossible.

The Compression profile (Option B) contains the actual settings and engine for the task. It defines which content types should be compressed (e.g., text/html, application/javascript), the compression level, and the minimum content length required before compression is applied. While a Stream profile (Option D) is used for data replacement (search and replace) and SSL profiles (Option C) are used for encryption, they do not provide compression logic. By applying both the HTTP and Compression profiles, the BIG-IP can successfully intercept server responses, compress the payload according to the configured policy, and deliver the optimized data to the user, effectively offloading the CPU-intensive compression work from the backend web servers.

When clients connect through a single source IP (NAT) — such as a corporate proxy or carrier-grade NAT — Source Address Affinity persistence becomes entirely ineffective because all clients share an identical source IP address. This would force every client session to the same pool member, completely eliminating even distribution and defeating the purpose of load balancing.

Cookie Persistence is the optimal solution in this scenario because it operates at Layer 7 , inserting a unique cookie into each client ' s HTTP/HTTPS response. Each individual browser session carries its own distinct cookie value, allowing the BIG-IP to identify and persist individual clients to specific pool members — regardless of whether they share a common source IP address. This guarantees both session persistence and even load distribution across pool members.

The remaining options are unsuitable because:

Destination Address Affinity persists based on destination IP, irrelevant for client-to-server session stickiness.

SSL Persistence uses the SSL Session ID for persistence, but SSL session IDs are frequently renegotiated and are unreliable for long-term persistence across modern TLS implementations.

Source Address Affinity fails entirely under NAT conditions as described.

Cookie persistence is the industry-standard method for HTTPS application load balancing requiring per-client session affinity.

When the connection limit is reached, BIG-IP resets new connections, even if pool members are healthy.