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| Section | Weight | Objectives |
|---|---|---|
| Cluster Mesh | 10% | - Cross-cluster load balancing and failover - Multi-cluster connectivity and service discovery |
| Service Mesh | 16% | - Transparent traffic encryption - Sidecar vs sidecarless architecture - Ingress and Gateway API integration |
| Architecture | 20% | - CNI integration and kube-proxy replacement - Cilium core architecture and components |
| BGP and External Networking | 6% | - BGP peering and service advertisement - External gateway integration |
| Installation and Configuration | 10% | - Deployment methods (Helm, cilium-cli) - Post-install validation and connectivity testing |
| Network Observability | 10% | - Hubble architecture and CLI usage - Hubble UI and troubleshooting basics - Layer 7 visibility and flow monitoring |
| Network Policy | 18% | - Identity-aware and L3–L7 policy models - Cilium vs Kubernetes network policies - Policy enforcement modes |
| eBPF | 10% | - eBPF-based networking, security, and observability - eBPF fundamentals and relevance to Cilium |
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NEW QUESTION # 13
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 # 14
Please review the output of cilium status below and answer the question that follows. Please note, the output has been modified for accessibility purposes.
Question 2 cilium status exhibit
Assume the cluster is healthy. What is correct about the ci 1 ium status command output above?
Answer: B
Explanation:
Technical explanation
The status output shows Envoy DaemonSet: disabled (using embedded mode) . In embedded mode, Cilium starts Envoy as a separate process inside the Cilium agent pod when a feature requiring Layer 7 processing- such as an L7 network policy, protocol visibility, Ingress, or Gateway API-is used. This is precisely the behavior described in option B.
The remaining choices contradict the exhibit. The Cilium DaemonSet has a desired count of three, which ordinarily indicates three schedulable nodes running Cilium, not four. Hubble Relay: OK means the aggregation component is healthy. Hubble Relay connects to the Hubble instances associated with Cilium agents and presents a multi-node API to clients such as Hubble CLI and Hubble UI. Finally, ClusterMesh:
disabled rules out the claim that the installation is currently configured for Cilium Cluster Mesh service discovery and cross-cluster load balancing.
Cilium can alternatively run Envoy through the independently life-cycled cilium-envoy DaemonSet. That is not the deployment displayed here because the DaemonSet is explicitly disabled and embedded mode is reported.
Official references
Envoy deployment modes ; Hubble internals .
Study Guide topic: Architecture.
NEW QUESTION # 15
Which encapsulation protocols are supported when configuring Cilium in tunnel mode?
Answer: A
Explanation:
Technical explanation
Cilium tunnel mode supports VXLAN and Geneve encapsulation. In this routing model, Cilium nodes form an overlay mesh, and traffic exchanged between nodes is carried inside UDP-encapsulated packets. VXLAN is the default tunnel protocol and normally uses UDP port 8472. Geneve is the alternative and normally uses UDP port 6081. Operators select the protocol through the tunnel-protocol configuration setting, whose documented values are vxlan and geneve .
Encapsulation reduces the requirements placed on the underlying network. The underlay only needs to provide IP connectivity between the Kubernetes nodes and permit the selected UDP tunnel port. It does not need to learn or route individual PodCIDRs. Cilium also uses the tunnel metadata to carry information such as the source security identity, avoiding an additional identity lookup on the receiving node.
MPLS, OTV, STT, and EVPN are not supported values for Cilium's tunnel-protocol setting. EVPN may be used in broader data-center network designs, and MPLS is a carrier-routing technology, but neither is a Cilium overlay encapsulation choice. Therefore, B is the only supported pair.
Official references
Cilium Routing ; System Requirements .
Study Guide topic: Architecture.
NEW QUESTION # 16
Which one of the following service mesh features and use cases is natively supported by Cilium?
Answer: D
Explanation:
Technical explanation
The intended answer is A because API request limiting corresponds to rate limiting, which Cilium identifies as a core Layer 7 traffic-management capability. Cilium combines its eBPF datapath with Envoy for application-layer processing. The official Service Mesh documentation expressly includes rate limiting among the functions that must understand protocols such as HTTP, REST, gRPC, and WebSocket. It is therefore not merely packet-rate policing at Layer 3 or Layer 4; it can be applied with application-protocol context.
However, this question is no longer valid as a strict single-answer item. Current Cilium documentation also describes proxy-based Layer 7 load balancing as useful for gRPC and provides an Envoy-backed implementation for Kubernetes Services. Consequently, option C is also supportable under the current product documentation, although the feature is identified as beta. API authorization and fault-delay injection are not presented as equivalent first-class Cilium Service Mesh use cases in the cited feature overview.
For certification-bank purposes, retain A as the intended answer, but revise option C or qualify it to restore a unique correct choice.
Official references
Service Mesh ; Proxy Load Balancing for Kubernetes Services .
Study Guide topic: Service Mesh.
NEW QUESTION # 17
Which affirmation is true about eBPF host-routing?
Answer: D
Explanation:
Technical explanation
C accurately describes eBPF host-routing. In a conventional datapath, packets may traverse substantial portions of the host networking stack and its iptables hooks even when Cilium performs routing decisions with eBPF. eBPF host-routing takes a more direct datapath, bypassing iptables and the upper host stack while providing a faster transition between the host and pod network namespaces. This reduces processing and context-switching overhead and can improve throughput and latency.
Option A describes load-balancing behavior rather than host routing. Backend distribution is implemented through Cilium's service load-balancer maps and algorithms. Host routing can improve the path used by resulting packets, but it does not itself guarantee even backend selection.
Option B is the description of BIG TCP. BIG TCP increases the size of internal GSO and GRO packets to reduce stack traversal. Although BIG TCP requires eBPF host-routing in supported Cilium configurations, the two are distinct features.
Option D is overly specific and does not define the feature. Host routing optimizes compatible pod traffic generally, subject to kernel, kube-proxy-replacement, masquerading, netfilter, encryption, and integration constraints.
Official references
Cilium eBPF Host-Routing
Study Guide topic: eBPF host-routing, host-stack bypass, veth traversal, and performance.
NEW QUESTION # 18
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