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| Section | Weight | Objectives |
|---|---|---|
| Architecture | 20% | - Cilium Architecture and Components - IP Address Management and Datapath Models |
| BGP and External Networking | 6% | - Connecting Cilium Clusters to External Networks - Egress Connectivity |
| Network Observability | 10% | - Hubble CLI and UI - Hubble and Layer 7 Visibility |
| Service Mesh | 16% | - Traffic Encryption and Service Mesh Architectures - Ingress and Gateway API |
| Cluster Mesh | 10% | - Multi-Cluster Connectivity - Service Discovery and Load Balancing |
| eBPF | 10% | - eBPF Role and Benefits - eBPF and iptables-Based Networking |
| Installation and Configuration | 10% | - Cilium CLI and Configuration - Installation and Connectivity Testing |
| Network Policy | 18% | - Identity-Based Network Security - Policy Rules and Enforcement |
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NEW QUESTION # 58
Why is the iptables implementation of kube-proxy less scalable than eBPF?
Answer: C
Explanation:
Technical explanation
B expresses the principal scalability distinction intended by the question. In kube-proxy's iptables mode, Kubernetes Services and endpoints are represented by chains of netfilter rules. As the number of Services and backends grows, rule creation, synchronization, and packet traversal can involve increasingly large rule sets.
Matching through those chains is generally described as having linear scaling characteristics.
Cilium's kube-proxy replacement stores service and backend state in eBPF maps. Hash-map lookups allow the datapath to locate service entries without sequentially scanning a rule for every Service, providing effectively constant-time lookup behavior for the relevant map operations. This makes the approach better suited to large and frequently changing Kubernetes environments.
Option A is false because iptables and netfilter also operate within the Linux kernel. Option C is false because kube-proxy's iptables implementation supports IPv6 when the surrounding Kubernetes and host configuration supports it. Option D does not explain kube-proxy's primary scaling limitation and introduces an unrelated SmartNIC/XDP claim.
The constant-time description is a useful architectural simplification; total performance still depends on map sizing, backend selection, connection tracking, and kernel behavior.
Official references
Cilium eBPF Datapath , Cilium Tuning Guide
Study Guide topic: kube-proxy replacement, eBPF maps, and datapath scalability.
NEW QUESTION # 59
Which statement is true of both the Ingress Controller and Gateway API?
Answer: C
Explanation:
Technical explanation
Both Kubernetes Ingress and the north-south use of Gateway API provide declarative Layer 7 routing from clients outside the cluster to Kubernetes workloads. They express host- and path-based routing through Kubernetes resources and can be implemented by controllers such as Cilium's Envoy-based ingress implementation. A therefore captures their shared purpose most accurately.
The remaining choices describe differences rather than universal similarities. Gateway API is explicitly role- oriented: infrastructure administrators manage GatewayClass and often Gateway , while application owners manage route resources such as HTTPRoute . The Ingress API does not provide the same formal separation of administrative and application-facing resources, making C unsuitable as a statement about both.
Implementation-specific annotations are historically common with Ingress because its core API is limited.
Gateway API was deliberately designed with more expressive, portable resource fields so that implementations do not need to depend as heavily on vendor-specific annotations; D is consequently not true of both. Namespace behavior also differs because Gateway API provides controlled cross-namespace attachment and reference mechanisms. B is therefore not the defining common capability.
Official references
Cilium Kubernetes Ingress Support , Cilium Gateway API Support , Migrating from Ingress to Gateway API Study Guide topic: Kubernetes north-south routing, Ingress, and Gateway API.
NEW QUESTION # 60
After enabling Layer 7 visibility, you can now observe DNS domains and FQDN in your Hubble logs, like the one below.
Nov 16 13:52:07.279: endor/xwing-9bd8f454d-m46mm:34706 (ID:3817) < > example.com:443 (ID:
16777217) Policy denied DROPPED (TCP Flags SYN)
Which of these Hubble CLI commands could have returned the output above?
Answer: D
Explanation:
Technical explanation
A is clearly the intended answer because its filters correspond to the displayed source namespace ( endor ), destination port ( 443 ), and verdict ( DROPPED ). However, it contains example.con , whereas the observed flow names example.com . Therefore, none of the options would literally return this exact flow if the FQDN filter is matched as written. The corrected command is:
hubble observe --to-fqdn example.com --from-namespace endor --to-port 443 --verdict DROPPED Option B is malformed in two additional places and filters port 80 rather than 443. Option C selects the wrong FQDN and source namespace. Option D requests forwarded flows, directly contradicting the Policy denied DROPPED verdict; its wildcard also does not repair the verdict mismatch.
Hubble's observe filters are cumulative: a returned flow must satisfy the specified destination FQDN, originating namespace, destination port, and verdict. Layer 7 visibility is enabled with a Cilium network policy containing the relevant L7 rules, which redirects selected traffic through the proxy so that application- level details can be reported.
Official references
Inspecting Network Flows with the Hubble CLI , Layer 7 Protocol Visibility Study Guide topic: Hubble flow filtering, FQDN visibility, namespaces, ports, and verdicts.
NEW QUESTION # 61
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: B
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 # 62
Which component manages the allocation of per-node PodCIDRs in the cluster-scope IPAM (IP address management) mode?
Answer: B
Explanation:
Technical explanation
In cluster-scope IPAM, the Cilium Operator allocates a PodCIDR to each node from the configured cluster- wide address pool. It records those allocations in each node's CiliumNode custom resource, specifically under spec.ipam.podCIDRs . The Cilium agent waits for this allocation during startup and then performs host-local allocation of individual pod addresses from the CIDR assigned to its node.
This division of responsibility explains why C is correct. The agent consumes its assigned range and allocates endpoint addresses locally, but it does not independently choose the cluster-wide per-node PodCIDR. The Operator coordinates those ranges to prevent nodes from receiving overlapping allocations.
Options A and D describe Kubernetes host-scope IPAM rather than Cilium cluster-scope IPAM. In Kubernetes host-scope mode, the Kubernetes controller manager assigns PodCIDRs and exposes them through spec.podCIDR or spec.podCIDRs in the standard Kubernetes Node resource. Cluster-scope mode is specifically useful when Kubernetes is not configured to perform that allocation or when Cilium should control the cluster address pool.
Therefore, the managing component and resource are the Cilium Operator and CiliumNode , respectively.
Official references
Cluster-Pool IPAM ; Cluster Scope IPAM .
Study Guide topic: Installation and Configuration.
NEW QUESTION # 63
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