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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: BGP and External Networking | 6% | - Egress Connectivity Requirements
|
| Topic 2: Network Observability | 10% | - Understand the Observability Capabilities of Hubble
|
| Topic 3: eBPF | 10% | - Understand the Role of eBPF in Cilium
|
| Topic 4: Network Policy | 18% | - Interpret Cilium Network Policies and Intent
|
| Topic 5: Cluster Mesh | 10% | - Understand the Benefits of Cluster Mesh for Multi-cluster Connectivity
|
| Topic 6: Installation and Configuration | 10% | - Know How to Use Cilium CLI to Query and Modify the Configuration
|
| Topic 7: Architecture | 20% | - Understand the Role of Cilium in Kubernetes Environments
|
| Topic 8: Service Mesh | 16% | - Know How to use Ingress or Gateway API for Ingress Routing
|
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NEW QUESTION # 32
Which one of the following statements accurately describes the identity-based network security model used by Cilium?
Answer: C
Explanation:
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.
NEW QUESTION # 33
Which of these observability features is NOT supported by Hubble?
Answer: A
Explanation:
Technical explanation
Hubble does not obtain Layer 7 protocol visibility exclusively through eBPF without a proxy. By default, Cilium's datapath exposes Layer 3 and Layer 4 flow information. To produce supported application-layer events, traffic is selected through an L7 Cilium policy and redirected to the node-local Envoy proxy. Envoy parses the application protocol and forwards access-log information that Cilium and Hubble expose as Layer
7 flow events.
The other capabilities are supported. Hubble flow records contain the observing node, and the CLI provides node-based filtering. HTTP-aware flows can contain response status codes, enabling inspection or filtering for results such as 200 and 404. Hubble also records forwarding verdicts and drop reasons. Operators can filter for DROPPED traffic and distinguish policy-denied connections from forwarded traffic and other failure conditions.
This separation is fundamental to Cilium's architecture: eBPF provides efficient kernel-level forwarding, security enforcement, and L3/L4 observability, while Envoy supplies protocol parsing when request-level context is required. The integration remains transparent to applications, but the proxy is still present in the traffic path for Layer 7 visibility.
Therefore, B describes the unsupported mechanism and is the correct answer.
Official references
Layer 7 Protocol Visibility ; Envoy ; Hubble CLI .
Study Guide topic: Network Observability.
NEW QUESTION # 34
When using Cilium with the kube-proxy replacement enabled, which underlying technology is effectively replaced with eBPF?
Answer: A
Explanation:
Technical explanation
Kubernetes kube-proxy conventionally implements Service translation and load balancing through either iptables or IPVS. With Cilium's kube-proxy replacement enabled, eBPF programs and maps perform Kubernetes Service handling directly in the kernel, including ClusterIP, NodePort, LoadBalancer, ExternalIP, and related service translation functions. C is therefore correct.
The replacement can operate at socket hooks and packet-processing hooks. Service and backend information is stored in eBPF maps, allowing the datapath to select backends and perform address translation without traversing the kube-proxy-generated iptables or IPVS rules normally used for Kubernetes Services.
BGP is not replaced. Cilium's BGP Control Plane is a separate feature used to advertise routes and service addresses to external routers. Routing itself is also not eliminated; Cilium can implement and accelerate routing decisions with eBPF, but packets still require a valid forwarding model. firewalld is a host firewall- management service and is not the underlying Kubernetes Service implementation replaced by kube-proxy replacement.
Relevant installations must satisfy the kernel and device requirements for Cilium's eBPF service load- balancer functionality.
Official references
Kubernetes Without kube-proxy
Study Guide topic: kube-proxy replacement, eBPF service maps, iptables, and IPVS.
NEW QUESTION # 35
What is a correct statement related to BIG TCP, an eBPF-based feature in Cilium?
Answer: C
Explanation:
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.
NEW QUESTION # 36
What would be a benefit of using remote service affinity in a Cluster Mesh deployment?
Answer: A
Explanation:
Technical explanation
Remote service affinity directs a global Service to prefer healthy backend endpoints located in remote clusters. This can support maintenance or staged rollouts in which the local copy of an application is temporarily unavailable or intentionally removed from service. Requests originating in the local cluster continue through the same global Service but are forwarded to the preferred remote backends, matching the use case described by D.
Cilium configures this behavior through the service.cilium.io/affinity: "remote" annotation. The preference affects backend selection; it does not require clients to use a different Service address. If remote backends are available, they are marked as preferred. This provides operators with a controlled way to direct traffic away from the local deployment during an update.
Option A describes local affinity from the perspective of the cluster containing the client, not remote affinity.
Option B incorrectly introduces the Egress Gateway, which provides controlled source addresses and routing for outbound traffic rather than Cluster Mesh global-Service affinity. Option C describes the normal none affinity behavior, under which Cilium has no local-or-remote preference and can load-balance across both categories.
Remote affinity therefore enables temporary cross-cluster continuity while local application instances are updated or otherwise unavailable.
Official references
Cluster Mesh Service Affinity .
Study Guide topic: Cluster Mesh.
NEW QUESTION # 37
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