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NEW QUESTION # 46
A set of servers is used for an FTP application as well as an HTTP website via separate BIG-IP Pools. The server support team reports that some servers are receiving a lot more traffic than others. Which Load Balancing Method should the BIG-IP Administrator apply to even out the connection count?
Answer: A
Explanation:
Similar to the logic required for managing multi-service backend environments, the issue described-where servers hosting multiple protocols like FTP and HTTP are experiencing uneven distribution-stems from the BIG-IP's default behavior of treating each pool independently. If the administrator uses a member-based load balancing method, the BIG-IP distributes HTTP traffic regardless of how much FTP traffic that same physical server is currently processing.
To resolve this, the administrator must utilize the Least Connections (Node) method. By switching both the HTTP and FTP pools to this algorithm, the BIG-IP begins to make load balancing decisions based on the total combined connection count for the IP address of each server. When a new HTTP request arrives, the BIG-IP checks which server has the fewest total connections (including existing FTP sessions). This prevents a server that is already busy with long-lived FTP transfers from being overwhelmed by a sudden burst of HTTP requests.
Ratio methods (Options A and C) are static and rely on the administrator manually assigning weights to servers based on their perceived capacity; they do not adapt to real-time fluctuations in traffic volume across different pools. Least Connections (Member) (Option B) remains blind to the "cross-pool" traffic on the same hardware. Only the Node-based Least Connections approach provides the global visibility necessary to "even out" the total resource utilization across servers supporting multiple distinct applications.
NEW QUESTION # 47
A configuration change is made on the standby member of a device group. What is displayed as
"Recommended Action" on the Device Management Overview screen?
Answer: B
Explanation:
The BIG-IP system uses a centralized management framework to ensure that all devices within a Sync- Failover group share a consistent configuration. When an administrator makes a change on any member of the group-whether it is the active or the standby device-the system detects a "ConfigSync" mismatch. The
"Device Management >> Overview" screen tracks these changes by comparing the commit ID and timestamps of the configurations across all peers.
If a change is made on the standby member, that device now possesses a more recent configuration than the other members of the group. Consequently, the BIG-IP GUI will display a status of "Changes Pending" and suggest a Recommended Action to resolve the discrepancy. In this scenario, the correct action is to Synchronize the standby member configuration to the group. This push operation will copy the updated configuration from the standby device to the active device (and any other peers), bringing the entire cluster back into a "In Sync" status. It is important to note that BIG-IP allows bi-directional synchronization; you do not have to be on the active device to push a configuration. However, administrators must be cautious:
choosing Option C (Synchronizing the active member to the group) would overwrite the changes just made on the standby device with the older configuration from the active device, effectively reverting the changes. The Recommended Action always points toward the direction that propagates the most recent change to the rest of the group.
NEW QUESTION # 48
In a pool there are 2 pool members out of the 5 members that are older servers. The number of connections these can handle is less than the other 3 pool members. Which load balancing method would allow more traffic to be directed to the newer servers? (Choose one answer)
Answer: C
Explanation:
When a pool contains servers with heterogeneous hardware capabilities (differing CPU, RAM, or connection limits), a static load balancing method like Round Robin is ineffective because it distributes requests equally, regardless of the server's capacity. To optimize traffic distribution for newer, more powerful servers, a dynamic or weighted method is required.
Weighted Least Connections (member): This is the ideal method for this scenario. It combines two factors:
Least Connections: It first checks the current active connection count to ensure traffic goes to the least busy server.
Weight (Ratio): It allows the administrator to assign a "Ratio" value to each pool member. Newer servers can be assigned a higher ratio (e.g., 3) while older servers are assigned a lower ratio (e.g., 1). The BIG-IP system uses these weights to disproportionately favor the newer servers even when connection counts are similar.
Why other options are incorrect:
Global Availability: This is primarily a GSLB (Global Server Load Balancing) or specific LTM priority group concept where traffic is sent to the first available member in a list until it fails, then moves to the next. It does not load balance based on capacity.
Round Robin: This passes each new connection request to the next server in line, treating the old and new servers exactly the same.
Least Connections (member): While this sends traffic to the server with the fewest active connections, it assumes all servers are equal. If an old server and a new server both have 10 connections, they are treated as equally capable of taking the 11th, which is not true in this scenario.
NEW QUESTION # 49
A BIG-IP Administrator configures an SSH pool with five members.
Which health monitor should be applied?
Answer: C
Explanation:
SSH is a TCP-based service. A TCP monitor validates service availability without requiring application-layer inspection.
NEW QUESTION # 50
All pool members are online. All other virtual server settings are at default. What might alter the load balancing behavior?
Answer: C
Explanation:
In a default BIG-IP configuration, the system utilizes the Load Balancing Method (typically Round Robin) to distribute each new connection across available pool members. However, the introduction of a persistence profile fundamentally changes this behavior. Persistence (also known as "stickiness") ensures that once a client has been load balanced to a specific pool member, all subsequent requests from that same client during a defined session or timeout period are directed to that same member, bypassing the standard load balancing algorithm. This is critical for applications that maintain state, such as shopping carts or authenticated sessions, where moving a user to a different server would result in a loss of session data.
While other options affect traffic handling, they do not "alter" the fundamental load balancing decision in the same way. A OneConnect profile (Option A) optimizes connection management by pooling idle server-side connections; while it changes how connections are reused, the initial load balancing decision still follows the configured method. A fallback host (Option C) is only utilized when the primary pool is unavailable, and since the question states all pool members are online, it remains inactive. SNAT Automap (Option D) changes the source IP address of the packet as it exits the BIG-IP toward the server to ensure return traffic passes back through the ADC, but it does not dictate which server is chosen for the request. Therefore, the persistence profile is the primary configuration element that overrides the load balancing algorithm to maintain a client-to- server relationship.
NEW QUESTION # 51
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