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| Section | Weight | Objectives |
|---|---|---|
| eBPF | 10% | - Understand the Role of eBPF in Cilium
|
| Network Policy | 18% | - Interpret Cilium Network Policies and Intent
|
| Architecture | 20% | - Understand the Role of Cilium in Kubernetes Environments
|
| Cluster Mesh | 10% | - Understand the Benefits of Cluster Mesh for Multi-cluster Connectivity
|
| Service Mesh | 16% | - Know How to use Ingress or Gateway API for Ingress Routing
|
| Installation and Configuration | 10% | - Know How to Use Cilium CLI to Query and Modify the Configuration
|
| BGP and External Networking | 6% | - Egress Connectivity Requirements
|
| Network Observability | 10% | - Understand the Observability Capabilities of Hubble
|
>> Free Linux Foundation Cilium-Associate Test Questions <<
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NEW QUESTION # 49
How does Cilium primarily improve security in Kubernetes clusters?
Answer: C
Explanation:
Technical explanation
Cilium primarily improves Kubernetes network security through identity-aware policy enforcement across Layers 3 through 7. Standard Kubernetes NetworkPolicy resources provide Layer 3 and Layer 4 controls, while CiliumNetworkPolicy extends enforcement to application-layer rules. Policies can select workloads by labels and identity, restrict protocols and destination ports, control communication with CIDRs or entities, apply DNS/FQDN rules, and authorize supported HTTP or gRPC operations. This multi-layer enforcement is the capability described by D.
API Gateway and Gateway API configurations can contribute to controlling north-south traffic, but they are not Cilium's primary or comprehensive security mechanism. Database encryption is implemented by database, storage, or encryption-management systems rather than being a general function of Cilium.
Persistent-volume backup is similarly outside Cilium's CNI, network-policy, and observability responsibilities.
Cilium's identity model is especially important in dynamic Kubernetes environments. Security policy follows workload identities derived from labels instead of depending exclusively on changing pod IP addresses. At Layer 7, traffic is redirected to Envoy when protocol-aware inspection or enforcement is required, while eBPF supplies the efficient kernel datapath for lower-layer processing.
Official references
Introduction to Cilium and Hubble ; Network Policy ; Layer 7 Policies .
Study Guide topic: Network Policy.
NEW QUESTION # 50
In which use case can the Cilium Service Mesh exclusively utilize eBPF without requiring a proxy such as Envoy?
Answer: C
Explanation:
Technical explanation
Cilium can implement Layer 3 and Layer 4 forwarding exclusively through its eBPF datapath. IP, TCP, and UDP traffic can be routed, load-balanced, filtered, and redirected through eBPF programs attached to Linux networking hooks. These operations depend on network-layer addresses, protocols, ports, identities, and connection state; they do not require application-protocol parsing by a userspace proxy.
Application-layer operations are different. Cilium's official Service Mesh architecture uses a proxy such as Envoy to parse HTTP, gRPC, and DNS when Layer 7 policy, observability, or traffic management requires understanding individual requests. The eBPF datapath transparently redirects selected traffic to the node-local proxy and retains identity context, while Envoy performs the protocol-aware operation.
Kafka parsing is also an application-layer activity rather than ordinary Layer 3 or Layer 4 forwarding.
Moreover, current Cilium releases removed the former Envoy Go extension mechanism used for Kafka and generic proxylib rules, further reinforcing that it is not an eBPF-only forwarding case.
Therefore, D accurately identifies the scenario in which the Service Mesh datapath can remain entirely in the kernel without requiring Envoy.
Official references
Cilium Service Mesh ; eBPF Datapath Introduction .
Study Guide topic: Service Mesh.
NEW QUESTION # 51
Which one of the following Cilium Network Policies follow the correct syntax?
A)
Question 17 option A
B)
Question 17 option B
C)
Question 17 option C
D)
Question 17 option D
Answer: D
Explanation:
Technical explanation
Option D uses the correct structure for permitting egress from selected endpoints to the local host entity. The endpointSelector selects endpoints whose label env equals dev . Because the intended traffic travels from those endpoints toward the host, the policy must contain an egress rule. An egress peer is expressed through toEntities , and host is the reserved entity representing the local host, including host-networked containers on that node.
Option A is invalid because fromEntities is an ingress-oriented field and cannot express an egress destination.
Option B uses nodeSelector , which selects nodes rather than workload endpoints and is only valid for node- level rules in a CiliumClusterwideNetworkPolicy ; it is not valid in the displayed namespaced CiliumNetworkPolicy . It also combines ingress with toEntities , reversing the rule direction. Option C has a valid workload selector but again uses toEntities under ingress ; ingress rules describe sources through constructs such as fromEntities .
Applying option D places the selected endpoints into egress default-deny mode and then expressly permits traffic whose destination is the host entity. Other egress traffic must be allowed separately.
Official references
Policy Enforcement and Rule Basics ; Endpoint Lifecycle policy examples .
Study Guide topic: Network Policy.
NEW QUESTION # 52
Why is the iptables implementation of kube-proxy less scalable than eBPF?
Answer: C
Explanation:
Technical explanation
B expresses the principal scalability distinction intended by the question. In kube-proxy's iptables mode, Kubernetes Services and endpoints are represented by chains of netfilter rules. As the number of Services and backends grows, rule creation, synchronization, and packet traversal can involve increasingly large rule sets.
Matching through those chains is generally described as having linear scaling characteristics.
Cilium's kube-proxy replacement stores service and backend state in eBPF maps. Hash-map lookups allow the datapath to locate service entries without sequentially scanning a rule for every Service, providing effectively constant-time lookup behavior for the relevant map operations. This makes the approach better suited to large and frequently changing Kubernetes environments.
Option A is false because iptables and netfilter also operate within the Linux kernel. Option C is false because kube-proxy's iptables implementation supports IPv6 when the surrounding Kubernetes and host configuration supports it. Option D does not explain kube-proxy's primary scaling limitation and introduces an unrelated SmartNIC/XDP claim.
The constant-time description is a useful architectural simplification; total performance still depends on map sizing, backend selection, connection tracking, and kernel behavior.
Official references
Cilium eBPF Datapath , Cilium Tuning Guide
Study Guide topic: kube-proxy replacement, eBPF maps, and datapath scalability.
NEW QUESTION # 53
What is NOT a valid description of the sidecar-based model?
Answer: A
Explanation:
Technical explanation
C is not a valid description. A service-mesh sidecar externalizes networking functions into a proxy container running beside the application; it does not force the instrumentation logic into the application's source code.
In fact, a core service-mesh objective is to provide connectivity, security, traffic management, and observability transparently without requiring application-code changes.
The operational concerns in the other choices are characteristic of sidecar implementations. A proxy must be injected into each workload pod, increasing container count and potentially affecting pod initialization, resource consumption, ordering, and readiness. Adding a sidecar to an existing pod template normally requires the pods to be recreated because Kubernetes cannot dynamically add a new container to an already- running pod.
Traffic interception also directs application traffic through the sidecar proxy and its network namespace paths, adding network-stack traversal and proxy-processing overhead. Cilium's service-mesh design can instead use node-level Envoy proxies together with eBPF traffic redirection, avoiding one proxy container in every application pod. This preserves transparent application behavior while reducing the per-workload operational burden.
Official references
Cilium Service Mesh , Cilium Ingress and Network Policy Example
Study Guide topic: Sidecar-based and sidecar-free service-mesh architectures.
NEW QUESTION # 54
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