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| Section | Weight | Objectives |
|---|---|---|
| Modify and Manage Virtual Servers | 50% | - Identify and work with iApp objects and iRules - Verify pool configurations associated with virtual servers - Apply persistence profiles - Configure encryption and protocol profiles - Configure and modify virtual server properties |
| Modify and Manage Pools | 50% | - Configure and modify pool settings - Configure load balancing methods - Implement health monitors for pools - Set priority groups and service port configurations |
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NEW QUESTION # 11
Which of the following has iApp configured objects?
Answer: D
Explanation:
An F5 iApp is a template-driven system used to deploy complex applications by grouping all necessary BIG- IP objects (Virtual Servers, Pools, Profiles) into a single management entity. Objects created by an iApp are distinguished by their naming convention and metadata. In the provided exhibit, the Virtual Server configuration in Option A is clearly identified as an iApp-managed object through two primary indicators.
First, the object resides within a sub-directory or partition ending in .app (/Common/vmware_test.app/).
Second, the configuration explicitly includes the attribute app-service /Common/vmware_test.app
/vmware_test, which serves as the system's internal pointer linking the LTM object back to the parent iApp Application Service. Furthermore, several profiles associated with this virtual server also reside within the same .app container, such as /Common/vmware_test.app/vmware_test_http.
In contrast, Options B, C, and D represent standard, manually created Virtual Servers. While they may have complex configurations (such as the APM profiles in app2_vs and app1_vs), they lack the folder-based naming hierarchy and the app-service metadata attribute that denotes iApp ownership. Standard objects like app1_vs are managed individually, whereas the objects within vmware_test.app are typically protected by
"Strict Updates." This means their configuration is controlled by the iApp's template logic; any manual attempt to modify these specific parameters directly via the Virtual Server menu would result in an error message stating the service must be updated via the application management interface. Identifying these objects is a critical procedural step for administrators to determine whether a configuration should be edited through the standard LTM menus or through the iApp's "Reconfigure" tab to ensure consistency and prevent manual changes from being overwritten by the template.
NEW QUESTION # 12
In a pool there are 2 pool members (older servers) that can handle fewer connections than the other 3 newer servers.
Which load balancing method would allow more traffic to be directed to the newer servers? (Choose one answer)
Answer: D
Explanation:
This scenario requires unequal load distribution based on server capacity. The newer servers must receive more connections than the older ones, while still dynamically accounting for active connection counts.
According to BIG-IP Administration: Data Plane Configuration documentation:
Weighted Least Connections (member) combines:
Connection awareness (least connections)
Administrator-defined weights (ratios) to reflect server capacity
Pool members with higher weights receive proportionally more new connections than members with lower weights, even when using the same load balancing algorithm.
Why B is correct:
Allows assigning higher weights to newer servers and lower weights to older servers Ensures smarter traffic distribution based on both capacity and real-time load Why the other options are incorrect:
A . Global Availability
Used for disaster recovery and site failover, not intra-pool load distribution.
C . Round Robin
Distributes connections evenly without considering server capacity.
D . Least Connections (member)
Balances only by current connection count and does not account for differences in server performance or capacity.
Correct Resolution:
Use Weighted Least Connections (member) and assign higher weights to newer servers so they receive more traffic while protecting older servers from overload.
NEW QUESTION # 13
Exhibit:
Due to a change in application requirements, a BIG-IP Administrator needs to modify the configuration of a Virtual Server to include a Fallback Persistence Profile. Which persistence profile type should the BIG-IP Administrator use for this purpose?
Answer: A
Explanation:
In a BIG-IP environment, a Fallback Persistence Profile is utilized as a secondary " stickiness " mechanism when the primary (Default) persistence method fails to provide a valid persistence record. For example, if a Virtual Server uses HTTP Cookie Persistence as its primary method, but a client's browser has cookies disabled, the BIG-IP will be unable to find a persistence cookie in the request. Without a fallback method, the system would treat every request from that client as a new, independent connection, potentially breaking the application session.
Source Address Affinity (also known as Source Address Persistence) is the most common and standard choice for a fallback profile. It operates at the network layer (Layer 3) by tracking the client's source IP address.
Because every IP packet contains a source address, this method is virtually guaranteed to work even when application-layer data (like Cookies or SSL Session IDs) is missing or encrypted beyond the BIG-IP ' s visibility. While Universal (Option A) and Hash (Option D) profiles are highly flexible and can use iRules to persist on almost any data, they require specific configuration and logic that may not always be present or valid. SSL persistence (Option C) relies on the SSL Session ID, which frequently changes due to modern browser security practices (session renegotiation), making it less reliable than Source Address Affinity. By configuring Source Address Affinity as the fallback, the administrator ensures that the BIG-IP has a " safety net " to maintain session integrity based on the client ' s IP address when the more granular cookie-based persistence is unavailable.
NEW QUESTION # 14
A BIG-IP Administrator uses backend servers to host multiple services per server. There are multiple virtual servers and pools defined, referencing the same backend servers.
Which load balancing algorithm is most appropriate to have an equal number of connections on each backend server? (Choose one answer)
Answer: D
Explanation:
In this scenario, each backend node (server) hosts multiple services and is referenced by multiple pools and virtual servers. The goal is to ensure an equal number of total connections per backend server, regardless of how many pool members (services/ports) exist on that server.
According to the BIG-IP Administration: Data Plane Configuration documentation:
* Least Connections (node) tracks the total number of active connections to a node across all pool members and services.
* This algorithm ensures load distribution is balanced at the server level, not just at the individual service (member) level.
* It is specifically recommended when:
* Multiple pool members exist on the same backend server
* Multiple virtual servers reference the same backend servers
Why the other options are incorrect:
* B. Predictive (member)Predictive algorithms are advanced and traffic-pattern based, but they operate at the member level and do not guarantee equal connections per server.
* C. Least Connections (member)This balances connections per pool member, which can overload a server hosting multiple members while still appearing "balanced" per member.
* D. Predictive (node)Although node-aware, predictive algorithms are less deterministic and not the best choice when strict equality of connections is required.
Correct Resolution:
Using Least Connections (node) ensures that each backend server carries an equal connection load across all services and pools.
NEW QUESTION # 15
How will the BIG-IP system distribute the traffic based on the configuration below?
pool my_pool {
lb_mode fastest
min_active_members 2
member 10.12.10.7:80 priority 3
member 10.12.10.8:80 priority 3
member 10.12.10.9:80 priority 3
member 10.12.10.4:80 priority 2
member 10.12.10.5:80 priority 2
member 10.12.10.6:80 priority 2
member 10.12.10.1:80 priority 1
member 10.12.10.2:80 priority 1
member 10.12.10.3:80 priority 1
}
(Pick the 2 correct responses below)
Answer: A,B
Explanation:
The configuration provided utilizes Priority Group Activation in conjunction with the min_active_members setting. Priority groups allow an administrator to define primary servers and "backup" servers within the same pool. The BIG-IP prioritizes traffic based on the assigned priority number, with the highest number receiving traffic first.
In this specific configuration, the priority 3 group is the primary group. Therefore, connections are first distributed to all pool members with priority 3 as long as they are available. The system will continue to use only the priority 3 group unless the number of available members in that group falls below the min_active_members value, which is set to 2.
If the priority 3 group has fewer than two active members, the BIG-IP "activates" the next available priority group (priority 2) and distributes traffic among the remaining members of priority 3 and all members of priority 2. This cascading logic continues down the list. Consequently, if both the priority 3 group and the priority 2 group have fewer than two members available, traffic is directed to the priority 1 group. This ensures that even in a multi-server failure scenario, the system has a last-resort group of servers to handle the traffic.
Option D is incorrect because if only one member of priority 3 goes down, there are still two members active (10.12.10.8 and 10.12.10.9). Since 2 is not less than the min_active_members threshold of 2, the priority 2 group will not yet be activated. Option B is incorrect because traffic flows from high priority to low priority, not the other way around.
NEW QUESTION # 16
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