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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Network Observability | 10% | - Understand the Observability Capabilities of Hubble
|
| Topic 2: Cluster Mesh | 10% | - Understand the Benefits of Cluster Mesh for Multi-cluster Connectivity
|
| Topic 3: BGP and External Networking | 6% | - Egress Connectivity Requirements
|
| Topic 4: Network Policy | 18% | - Interpret Cilium Network Policies and Intent
|
| Topic 5: Architecture | 20% | - Understand the Role of Cilium in Kubernetes Environments
|
| Topic 6: eBPF | 10% | - Understand the Role of eBPF in Cilium
|
| Topic 7: Installation and Configuration | 10% | - Know How to Use Cilium CLI to Query and Modify the Configuration
|
| Topic 8: Service Mesh | 16% | - Know How to use Ingress or Gateway API for Ingress Routing
|
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問題 #14
What is the correct statement about the masquerading feature?
答案:D
解題說明:
Technical explanation
Masquerading performs source network address translation for qualifying traffic that leaves the cluster.
Because pod addresses are often private and not routable by the external network, Cilium replaces the pod's source address with an address belonging to the egress node. Return traffic can then reach that node, which reverses the translation and delivers the response to the originating pod. B correctly summarizes this behavior.
Masquerading is a form of SNAT, not DNAT. DNAT modifies the destination address, commonly to direct incoming traffic toward another endpoint, so C is incorrect.
Cilium documents its eBPF-based masquerading implementation as the more efficient implementation. The iptables version is the legacy alternative, making A false. Conversely, eBPF masquerading depends on appropriate kernel eBPF capabilities and Cilium's BPF NodePort functionality. It cannot be assumed to work on every kernel version, so D is false. The legacy iptables implementation is the mode documented as broadly working across kernel versions.
Cilium can exclude natively routable CIDRs from masquerading, and administrators may configure separate IPv4 and IPv6 masquerading behavior.
Official references
Cilium Masquerading , Cilium System Requirements
Study Guide topic: SNAT, native-routing exclusions, and eBPF versus iptables masquerading.
問題 #15
Which one of the following statements accurately describes the identity-based network security model used by Cilium?
答案:A
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 #16
a requirement to achieve service discovery and load balancing across clusters with Cluster Mesh?
答案:D
解題說明:
Technical explanation
Every cluster participating in a Cilium Cluster Mesh must have a unique cluster name and numeric cluster ID.
The numeric ID becomes part of Cluster Mesh security identities and allows Cilium to distinguish identities originating in different clusters. Reusing an ID would create ambiguity in endpoint identity, policy enforcement, and synchronized service information. Current documentation permits IDs from 1 through 255 under the default scaling configuration.
Geographical colocation is not required. Cluster Mesh is specifically designed to extend connectivity, policy, service discovery, and load balancing across clusters that may reside in different regions, clouds, or premises, provided the documented network-connectivity requirements are satisfied. The clusters also do not need to use an identical Kubernetes distribution or exact Kubernetes version.
Option C is unnecessarily strict. Current Cilium documentation permits connected clusters to differ by no more than one minor Cilium release; exact version equality is not mandatory. Other prerequisites include unique and non-conflicting PodCIDRs, compatible datapath modes, node connectivity, and appropriate inter- cluster communication.
The supplied bank incorrectly marks A. The verified answer is D.
Official references
Setting up Cluster Mesh .
Study Guide topic: Cluster Mesh.
問題 #17
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 #18
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:D
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 #19
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