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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Network Policy | 18% | - Policy enforcement modes - Identity-aware and L3–L7 policy models - Cilium vs Kubernetes network policies |
| Topic 2: BGP and External Networking | 6% | - External gateway integration - BGP peering and service advertisement |
| Topic 3: Architecture | 20% | - CNI integration and kube-proxy replacement - Cilium core architecture and components |
| Topic 4: Service Mesh | 16% | - Transparent traffic encryption - Sidecar vs sidecarless architecture - Ingress and Gateway API integration |
| Topic 5: Network Observability | 10% | - Hubble UI and troubleshooting basics - Hubble architecture and CLI usage - Layer 7 visibility and flow monitoring |
| Topic 6: Installation and Configuration | 10% | - Post-install validation and connectivity testing - Deployment methods (Helm, cilium-cli) |
| Topic 7: eBPF | 10% | - eBPF-based networking, security, and observability - eBPF fundamentals and relevance to Cilium |
| Topic 8: Cluster Mesh | 10% | - Cross-cluster load balancing and failover - Multi-cluster connectivity and service discovery |
作為Linux Foundation相關認證考試大綱的主要供應商，Fast2test的Cilium-Associate專家一直不斷地提供品質較高的產品，不斷為客戶提供免費線上客戶服務，並以最快的速度更新考試大綱。
問題 #59
Which one of the following statements accurately describes the identity-based network security model used by Cilium?
答案：D
解題說明：
Technical explanation
Cilium derives an endpoint's security identity from its security-relevant labels rather than from its current IP address. When multiple endpoints possess the same relevant label set, they receive and share the same numeric security identity. This enables policies to follow an application as pods are recreated, rescheduled, or scaled across nodes.
In Kubernetes, the Cilium agent obtains workload metadata through the Kubernetes API and associates the pod's labels with the corresponding Cilium endpoint. Identity allocation converts the relevant label set into a cluster-wide identity. Policy enforcement then matches that identity in the eBPF datapath instead of depending exclusively on short-lived pod addresses.
Option A incorrectly makes the IP address the source of identity and says that identities cannot be shared.
Option B incorrectly identifies annotations as the identity foundation. Annotations may configure behavior, but Cilium's security model is label-based. Option D is also incorrect because operators do not ordinarily assign each pod's numeric security identity manually. Identity allocation and lifecycle management are automatic.
Official references
Cilium Terminology and Identities , Limiting Identity-Relevant Labels
Study Guide topic: Label-derived identities and identity-based policy enforcement.
問題 #60
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?
答案：B
解題說明：
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.
問題 #61
Why is the iptables implementation of kube-proxy less scalable than eBPF?
答案：A
解題說明：
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.
問題 #62
A user has set up a global service as a Kubernetes user with access to clusters in a Cilium Cluster Mesh. They notice that all traffic is going to remote backend pods. What is a possible explanation?
答案：B
解題說明：
Technical explanation
If a global Service has no healthy local endpoints matching its selector, every available backend can be remote. Cluster Mesh synchronizes remote service and endpoint information, allowing the local Cilium datapath to load-balance requests to backend pods in connected clusters. The absence of local endpoints therefore provides a direct explanation for the observed behavior.
If the local cluster were not part of the Cluster Mesh, its Cilium agents would not normally receive the remote endpoint state needed to route traffic through the global Service, so B does not explain successful remote-only selection. An affinity value of none is the default behavior and expresses no preference between local and remote endpoints. When both categories exist and are healthy, this permits load balancing across both; it does not require every connection to use remote backends.
Setting service.cilium.io/shared: "false" prevents the local Service's backends from being shared with remote clusters. It does not instruct the local cluster to direct all requests toward remote endpoints.
A separate possible cause, not presented among the choices, would be service.cilium.io/affinity: "remote" .
Among the supplied answers, however, A is the valid explanation.
Official references
Service Affinity ; Cluster Mesh .
Study Guide topic: Cluster Mesh.
問題 #63
If you are required to block ingress traffic from external IPs for all pods in your cluster, which of the following network policies would be the best fit?
答案：C
解題說明：
Technical explanation
A cluster-wide requirement is best implemented with CiliumClusterwideNetworkPolicy , whose correct resource spelling is CiliumClusterwideNetworkPolicy . Unlike a namespaced CiliumNetworkPolicy , this Cilium CRD is non-namespaced and can select endpoints across the entire cluster.
To deny external ingress for every Cilium-managed pod, a cluster-wide policy can use an empty endpointSelector and an ingressDeny rule selecting the world entity. Cilium defines world as network endpoints outside the cluster. An alternative allow-list construction can permit only the cluster entity, thereby excluding external sources, but an explicit deny rule usually communicates the requirement more directly.
A standard Kubernetes NetworkPolicy and a CiliumNetworkPolicy are namespaced, requiring repeated resources in every applicable namespace. CiliumGlobalPolicy is not a valid Cilium resource type. Although the option capitalizes "Wide" differently from the actual kind, D unmistakably identifies the intended cluster- scoped policy.
Official references
Cilium Deny Policies , Cilium Network Policy Types
Study Guide topic: Cluster-scoped policies, external traffic, and reserved entities.
問題 #64
......
拿高薪，是每個人的夢想，但究竟能拿多少錢，得由你的職場身價決定。機會很多時候就在你面前.不管你是否喜歡這樣的機會，只有把握住，迎難而上才能獲得非凡的成就。通過 Linux Foundation 認證考試取得一張“金牌派司”無疑是證明和提升自己身價的一個有效方式。Fast2test Cilium-Associate 題庫覆蓋了真實的 Linux Foundation Cilium-Associate 考試指南，適合全球考生適用。
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