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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: eBPF | 10% | - Understand the Role of eBPF in Cilium
|
| Topic 2: Cluster Mesh | 10% | - Understand the Benefits of Cluster Mesh for Multi-cluster Connectivity
|
| Topic 3: Service Mesh | 16% | - Know How to use Ingress or Gateway API for Ingress Routing
|
| Topic 4: Architecture | 20% | - Understand the Role of Cilium in Kubernetes Environments
|
| Topic 5: Network Policy | 18% | - Interpret Cilium Network Policies and Intent
|
| Topic 6: Network Observability | 10% | - Understand the Observability Capabilities of Hubble
|
| Topic 7: Installation and Configuration | 10% | - Know How to Use Cilium CLI to Query and Modify the Configuration
|
| Topic 8: BGP and External Networking | 6% | - Egress Connectivity Requirements
|
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質問 # 34
What is a correct statement related to BIG TCP, an eBPF-based feature in Cilium?
正解：B
解説：
Technical explanation
BIG TCP permits the Linux networking stack to process packets larger than the traditional approximately 64- KiB limit represented by the IP length field while the packets remain inside the host. IPv6 BIG TCP uses a temporary Hop-by-Hop header carrying the larger internal length, while IPv4 BIG TCP sets tot_len to zero and uses the socket buffer length internally. Before transmission, packets are segmented into sizes suitable for the physical network. C therefore identifies the problem BIG TCP addresses.
Option A is false because Cilium's documentation explicitly states that BIG TCP does not require network- interface MTU changes. The larger objects exist inside the software networking stack and are segmented before appearing on the wire.
Option B reverses the intended performance effect. Larger internal GSO and GRO packets reduce repeated stack traversal, lowering CPU utilization and generally improving throughput and latency. Option D is also false: Generic Segmentation Offload and Generic Receive Offload are fundamental to BIG TCP's operation.
Cilium increases their maximum sizes when BIG TCP is enabled. The source mentions TSO, but the documented mechanism is principally described through GSO and GRO.
Official references
Cilium Performance Tuning and BIG TCP
Study Guide topic: BIG TCP, GSO/GRO, packet-length limits, and performance.
質問 # 35
What is correct about this Cilium Network Policy?
Question 21 Cilium Network Policy exhibit
正解：A
解説：
Technical explanation
The intended policy selects every Cilium-managed endpoint in the namespace where the CiliumNetworkPolicy is created because endpointSelector: {} is empty. The manifest does not specify metadata.namespace ; if it is applied normally in the default namespace, the selected endpoints are therefore all pods in default , not pods across every namespace. The egress destination selector identifies pods in kube- system carrying k8s-app: kube-dns , while matchPattern: "*" allows all DNS query names handled by the DNS rule. This supports the intended answer A.
There is, however, a material defect in the exhibit: toPorts is a list in the Cilium policy schema, but the image shows rules directly beneath toPorts without a preceding list marker. The official form is toPorts: , followed by - ports: and rules: within that list item. Port 53 and its protocol should also be stated explicitly. Exactly as displayed, the manifest should not be treated as a valid deployable policy.
The question should be corrected before examination use. Once the missing list item and port definition are restored, A accurately describes its scope and effect.
Official references
Using Kubernetes Constructs in Policy ; Layer 7 Protocol Visibility .
Study Guide topic: Network Policy.
質問 # 36
When considering changing an existing cluster's IPAM (IP address management) mode, what is the safest path?
正解：D
解説：
Technical explanation
The official IPAM documentation expressly states that the safest way to change IPAM mode is to install a fresh Kubernetes cluster using the required new IPAM configuration. A live cluster already contains allocated workload addresses, node routing state, Cilium endpoint state, service state, and potentially cloud-provider resources that depend on the active allocator. Replacing the allocator in place can invalidate these assumptions and cause persistent connectivity disruption rather than merely a short agent restart.
Updating a Kubernetes Node object does not generally convert Cilium's IPAM mode. The responsible resource and allocation behavior depend on the selected mode: Kubernetes host-scope IPAM, cluster-pool IPAM, multi-pool IPAM, CRD-backed modes, and cloud-specific allocators manage address information differently. Restarting agents after changing a configuration value likewise does not constitute a safe migration plan, because existing endpoints and routes may retain state created under the former allocator.
Cilium advises against changing the IPAM mode of an existing cluster unless a specifically documented migration procedure applies. The currently documented exception is migration from cluster-pool IPAM to multi-pool IPAM. As the question provides no such constrained scenario, D is the unambiguously safest answer.
Official references
IP Address Management .
Study Guide topic: Installation and Configuration.
質問 # 37
The application team would like to observe egress traffic with application level information for workloads running in a Cilium based Kubernetes Cluster Which features would offer this without the need for additional tooling?
正解：B
解説：
Technical explanation
Hubble UI and Hubble CLI are Cilium's integrated interfaces for examining workload network flows. Hubble records source and destination identities, namespaces, workloads, addresses, ports, forwarding verdicts, and drop reasons. When Layer 7 visibility is configured, its flow output can also contain application-level information such as HTTP methods, URLs, response codes, latency, and DNS queries. Filters can narrow the results by source workload, namespace, destination, protocol, port, or verdict, making Hubble appropriate for investigating egress behavior.
Hubble CLI provides detailed event-oriented inspection, while Hubble UI presents flows and service dependencies graphically. Hubble Relay aggregates the per-node Hubble APIs so these clients can obtain cluster-wide visibility.
Load balancing directs traffic but is not an observability interface. Kubernetes NetworkPolicy expresses permitted communications but does not by itself display application-level flow records. Fluentd and Grafana are external logging and visualization components and would violate the requirement to avoid additional tooling.
Layer 7 information requires supported traffic to be redirected through Cilium's L7 proxy. Hubble then exposes the resulting application-layer flow events through the built-in CLI or UI, making D the complete answer.
Official references
Network Observability with Hubble ; Inspecting Network Flows .
Study Guide topic: Network Observability.
質問 # 38
Which statement is true of both the Ingress Controller and Gateway API?
正解：D
解説：
Technical explanation
Both Kubernetes Ingress and the north-south use of Gateway API provide declarative Layer 7 routing from clients outside the cluster to Kubernetes workloads. They express host- and path-based routing through Kubernetes resources and can be implemented by controllers such as Cilium's Envoy-based ingress implementation. A therefore captures their shared purpose most accurately.
The remaining choices describe differences rather than universal similarities. Gateway API is explicitly role- oriented: infrastructure administrators manage GatewayClass and often Gateway , while application owners manage route resources such as HTTPRoute . The Ingress API does not provide the same formal separation of administrative and application-facing resources, making C unsuitable as a statement about both.
Implementation-specific annotations are historically common with Ingress because its core API is limited.
Gateway API was deliberately designed with more expressive, portable resource fields so that implementations do not need to depend as heavily on vendor-specific annotations; D is consequently not true of both. Namespace behavior also differs because Gateway API provides controlled cross-namespace attachment and reference mechanisms. B is therefore not the defining common capability.
Official references
Cilium Kubernetes Ingress Support , Cilium Gateway API Support , Migrating from Ingress to Gateway API Study Guide topic: Kubernetes north-south routing, Ingress, and Gateway API.
質問 # 39
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この競争の激しい社会では、良い仕事をするためには、自分の能力を向上させ、可能性を常に探求し、関連するCilium-Associate認定を取得することが最善の方法です。しかし、私たちの専門的な能力は、試験を解読するのが難しいことであり、試験に関連するCilium-Associate準備質問が非常に多いため、試験に必要なすべてのキーポイントを体系化することは不可能です。
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