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F5 F5CAB3 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Apply procedural concepts required to modify and manage pools: This domain addresses managing server pools including health monitors, load balancing methods, priority groups, and service port configurations.
Topic 2
  • Apply procedural concepts required to modify and manage virtual servers: This domain covers managing virtual servers including applying persistence, encryption, and protocol profiles, identifying iApp objects, reporting iRules, and showing pool configurations.

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F5 BIG-IP Administration Data Plane Configuration Sample Questions (Q32-Q37):

NEW QUESTION # 32
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 # 33
Which two load balancing methods consider all the connections the BIG-IP has between it and each backend application server (Pool Member) when making a load balancing decision for a new connection?

Answer: A,C

Explanation:
The two load balancing methods that consider all connections between the BIG-IP and each backend node
- not just connections to a specific pool member - are Least Connections (node) and Weighted Least Connections (node) .
The critical distinction here lies in the node-level scope of evaluation. A node represents the backend server ' s IP address, regardless of how many services or ports it may be serving. Therefore:
* Least Connections (node) directs new connections to the node with the fewest total active connections across all services on that server, providing a holistic connection-count perspective.
* Weighted Least Connections (node) operates identically but factors in an administrator-defined ratio weight, allowing servers with greater capacity to proportionally absorb more connections while still evaluating total node-level connection counts.
By contrast:
* Ratio (member) distributes traffic based on a static weight ratio and does not dynamically evaluate current connection counts.
* Round Robin distributes traffic sequentially in rotation, completely ignoring current connection states on any node or member.
The node-based methods are particularly valuable in environments where a single backend server hosts multiple pool members across different ports, ensuring the server ' s overall load - not just per-service load
- governs balancing decisions.
Reference: BIG-IP Administration - Data Plane Configuration, Module: Load Balancing Methods - Member vs. Node Scope.


NEW QUESTION # 34
All pool members are online. All other virtual server settings are at default.
What might alter the load balancing behavior? (Choose one answer)

Answer: D

Explanation:
By default, BIG-IP load balancing algorithms (such as Round Robin) distribute connections evenly across all available pool members. However, persistence profiles override normal load balancing decisions by forcing subsequent connections from a client to be sent to the same pool member.
According to the BIG-IP Administration: Data Plane Configuration documentation:
* Persistence creates a client-to-server mapping that is honored before load balancing algorithms are applied.
* When persistence is enabled, BIG-IP may repeatedly select the same pool member even if others are available.
* This directly alters load balancing behavior.
Why the other options are incorrect:
* A. Adding a OneConnect profileOneConnect optimizes server-side TCP connections but does not change which pool member is selected.
* B. Enabling SNAT automapSNAT affects source address translation, not pool member selection.
* C. Enabling a fallback host in the HTTP profileA fallback host is only used when no pool members are available.
Correct Resolution:
Adding a persistence profile alters load balancing behavior by maintaining client affinity to a specific pool member.


NEW QUESTION # 35
A BIG-IP Administrator needs to configure health monitors for a pool containing HTTP, HTTPS, FTP, and SSH services.
Which configuration ensures accurate member status?

Answer: B

Explanation:
Using "at least one" ensures each member is marked up based on its relevant service monitor.


NEW QUESTION # 36
What would be the best persistence method for F5 to load balance traffic from clients via a single source IP (NAT) to multiple pool members with even distribution for an HTTPS web application?

Answer: D

Explanation:
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.
Reference: BIG-IP Administration - Data Plane Configuration, Module: Persistence Methods - Cookie, Source Address, and SSL Persistence.


NEW QUESTION # 37
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