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| Section | Weight | Objectives |
|---|---|---|
| Network Observability | 10% | - Hubble and Layer 7 Visibility - Hubble CLI and UI |
| Architecture | 20% | - IP Address Management and Datapath Models - Cilium Architecture and Components |
| Cluster Mesh | 10% | - Service Discovery and Load Balancing - Multi-Cluster Connectivity |
| Network Policy | 18% | - Policy Rules and Enforcement - Identity-Based Network Security |
| eBPF | 10% | - eBPF and iptables-Based Networking - eBPF Role and Benefits |
| BGP and External Networking | 6% | - Connecting Cilium Clusters to External Networks - Egress Connectivity |
| Installation and Configuration | 10% | - Installation and Connectivity Testing - Cilium CLI and Configuration |
| Service Mesh | 16% | - Traffic Encryption and Service Mesh Architectures - Ingress and Gateway API |
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NEW QUESTION # 28
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 # 29
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?
Answer: C
Explanation:
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.
NEW QUESTION # 30
Among the definitions provided for the entities host, remote-node, cluster, and all, which description is accurate in the context of Cilium network policy?
Answer: C
Explanation:
Technical explanation
The host entity represents the local node on which the selected Cilium endpoint resides. It also includes processes and containers using the local host network namespace. Therefore, A reproduces the official entity definition accurately.
The remote-node entity does not represent arbitrary unmanaged endpoints. It represents hosts other than the local node across the local cluster and connected clusters, including host-networked containers on those nodes. Unmanaged endpoints instead have the reserved unmanaged identity.
Option C gives the definition of the separate kube-apiserver entity, not cluster . The cluster entity is the logical collection of endpoints and reserved identities inside the local cluster, including Cilium-managed endpoints, unmanaged local endpoints, hosts, remote nodes, health, ingress, initialization, and kube-apiserver identities. Current documentation separately provides a cluster-mesh entity for endpoints in connected clusters.
Option D confuses all with world . world represents endpoints outside the cluster. all covers all identities and is not simply equivalent to the IPv4 CIDR 0.0.0.0/0 , particularly in identity-aware, node, and IPv6 contexts.
Official references
Cilium Layer 3 Policy Entities , Cilium Reserved Identities
Study Guide topic: Reserved entities and identity-based Layer 3 policies.
NEW QUESTION # 31
Which of the following best describes how eBPF is used within Cilium9
Answer: A
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 # 32
Which of these is true of Cilium Cluster Mesh and Network Policies?
Answer: B
Explanation:
Technical explanation
Cluster Mesh extends Cilium's identity-aware networking and policy enforcement across connected Kubernetes clusters. A CiliumNetworkPolicy can authorize communication with workloads in a particular remote cluster by selecting their workload labels together with the synthetic io.cilium.k8s.policy.cluster label.
Therefore, A accurately describes a direct network-policy function.
The policies themselves are not automatically copied between clusters. Administrators remain responsible for applying the required policy resources in the appropriate clusters, but enforcement can select and govern remote endpoints once Cluster Mesh has propagated their identities.
Option B confuses authorization with transport encryption. WireGuard or IPsec configuration enables transparent encryption; it is not established by a network-policy rule. Option C is also separate from policy enforcement: cross-cluster load balancing is configured through global-service facilities and service annotations, not through CiliumNetworkPolicy . Option D is incorrect under current documentation because Cilium mutual authentication does not provide a single trust domain spanning Cluster Mesh clusters and is not presently compatible with that multi-cluster arrangement.
Official references
Cluster Mesh Network Policy , Cluster Mesh Services , Mutual Authentication Limitations Study Guide topic: Cross-cluster identity, endpoint selection, and policy enforcement.
NEW QUESTION # 33
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