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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: BGP and External Networking | 6% | - Egress Connectivity - Connecting Cilium Clusters to External Networks |
| Topic 2: Network Observability | 10% | - Hubble and Layer 7 Visibility - Hubble CLI and UI |
| Topic 3: eBPF | 10% | - eBPF Role and Benefits - eBPF and iptables-Based Networking |
| Topic 4: Installation and Configuration | 10% | - Installation and Connectivity Testing - Cilium CLI and Configuration |
| Topic 5: Service Mesh | 16% | - Ingress and Gateway API - Traffic Encryption and Service Mesh Architectures |
| Topic 6: Architecture | 20% | - IP Address Management and Datapath Models - Cilium Architecture and Components |
| Topic 7: Network Policy | 18% | - Policy Rules and Enforcement - Identity-Based Network Security |
| Topic 8: Cluster Mesh | 10% | - Service Discovery and Load Balancing - Multi-Cluster Connectivity |
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NEW QUESTION # 58
Which of the following best describes how eBPF is used within Cilium9
Answer: B
Explanation:
Technical explanation
D most precisely describes Cilium's foundational use of eBPF. The Cilium agent translates desired networking and security state into eBPF programs and maps, then attaches those programs to Linux kernel hook points such as traffic-control ingress and egress, XDP, cgroups, and sockets. Packets can consequently be classified, permitted, dropped, redirected, load-balanced, or forwarded without requiring changes to the protected application.
Endpoint-policy programs associate traffic with Cilium security identities and perform Layer 3 and Layer 4 enforcement in the kernel. Traffic requiring Layer 7 inspection can be redirected from the eBPF datapath to Envoy. This combination provides efficient kernel-level enforcement while retaining application-aware controls.
Option A describes an important Hubble observability outcome, but it is narrower than Cilium's primary networking and enforcement model and overstates what is necessarily exposed through a UI. Option B mischaracterizes Cilium as DNS infrastructure; Cilium can enforce DNS-aware policies but does not replace Kubernetes DNS service discovery. Option C is too generic and implies a conventional threat-detection product rather than identity-based networking and policy enforcement.
Official references
Cilium eBPF Datapath Introduction , Introduction to Cilium and Hubble
Study Guide topic: Kernel hooks, endpoint policy, identities, and eBPF datapath enforcement.
NEW QUESTION # 59
Which statement is true about Mutual Authentication with Cilium?
Answer: B
Explanation:
Technical explanation
SPIRE supplies workload identities as SPIFFE Verifiable Identity Documents, including X.509 key material used for mutual authentication. SPIFFE's identity model supports automatic issuance, rotation, and revocation, allowing short-lived certificates to be renewed without manually distributing static credentials.
This makes D the correct statement.
Option A reverses the documented default. Cilium's default SPIRE installation requires persistent-volume support. In-memory storage can be selected for laboratory environments by disabling server data storage, but that setting causes SPIRE data to be recreated if the server pod restarts. Option B also reverses the relationship between the projects: SPIFFE defines the identity standards and APIs, while SPIRE is a production-ready implementation of SPIFFE. Cilium's mutual-authentication integration has been validated with SPIRE.
Option C overstates the operational requirement. A SPIRE server is involved, but Cilium's Helm chart can deploy and configure the supported SPIRE server and per-node agents. Administrators may provide their own deployment, yet a completely manual installation is not mandatory.
Current documentation classifies this mutual-authentication implementation as beta and notes limitations, including incompatibility with Cluster Mesh trust domains. Those maturity constraints do not change the certificate-management behavior described in D.
Official references
Cilium Mutual Authentication .
Study Guide topic: Service Mesh.
NEW QUESTION # 60
Which Cilium command should you execute to gather network-related troubleshooting information from your Kubernetes cluster?
Answer: C
Explanation:
Technical explanation
The intended answer is D, but the option contains a source-bank typographical error. The valid command is cilium sysdump , not cilium sysduwp . Read literally, none of the four displayed commands exactly answers the question.
The Cilium CLI's sysdump operation gathers cluster-wide troubleshooting material, including Cilium configuration and endpoint state, agent and operator logs, Kubernetes workload information, routing and interface details, kernel messages, service state, policies, and selected eBPF-map output. This consolidated archive is the preferred diagnostic package when investigating Kubernetes networking or preparing a support report.
cilium status --verbose provides expanded health and deployment status, but it does not collect the comprehensive diagnostic archive requested. debuginfo is associated with the in-agent debug client- currently documented as cilium-dbg debuginfo -and produces useful local-agent API information; in Kubernetes environments it is already included as part of the system dump. cilium bugtool is not the current cluster-wide Cilium CLI command requested here.
For an exam-ready correction, option D should read cilium sysdump .
Official references
Cilium Troubleshooting and Sysdump
Study Guide topic: Cilium CLI troubleshooting, system dumps, and diagnostic collection.
NEW QUESTION # 61
Which component is embedded in the Cilium Agent and retrieves eBPF-based visibility from Cilium?
Answer: C
Explanation:
Technical explanation
The Hubble Server is embedded in each Cilium agent and consumes the eBPF-derived visibility data produced on that node. It exposes gRPC services through which clients can retrieve flow events, node and namespace information, server status, and related observability data. Embedding the server in the agent enables high-performance collection with comparatively low overhead.
Hubble Relay has a different role. It is a standalone component that discovers and connects to the Hubble Server instances running across the cluster. Relay aggregates their individual APIs to provide multi-node or cluster-wide visibility to clients such as the Hubble CLI and Hubble UI. It is therefore not the component embedded in the agent.
The Cilium CNI plugin is invoked when Kubernetes creates or removes pods and asks the local agent to configure their networking and datapath. The Cilium Operator performs cluster-wide management duties such as selected IPAM and shared-state operations. Neither component is responsible for exposing eBPF flow visibility.
This server-relay distinction is central to understanding Hubble's distributed architecture: Server provides node-local visibility, while Relay combines multiple servers into a cluster-wide view.
Official references
Hubble Internals , Cilium Component Overview
Study Guide topic: Hubble Server, Hubble Relay, and distributed flow observability.
NEW QUESTION # 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?
Answer: B
Explanation:
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.
NEW QUESTION # 63
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