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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Service Mesh | 16% | - Ingress and Gateway API - Traffic Encryption and Service Mesh Architectures |
| Topic 2: Architecture | 20% | - IP Address Management and Datapath Models - Cilium Architecture and Components |
| Topic 3: eBPF | 10% | - eBPF and iptables-Based Networking - eBPF Role and Benefits |
| Topic 4: Installation and Configuration | 10% | - Installation and Connectivity Testing - Cilium CLI and Configuration |
| Topic 5: Cluster Mesh | 10% | - Multi-Cluster Connectivity - Service Discovery and Load Balancing |
| Topic 6: BGP and External Networking | 6% | - Connecting Cilium Clusters to External Networks - Egress Connectivity |
| Topic 7: Network Observability | 10% | - Hubble and Layer 7 Visibility - Hubble CLI and UI |
| Topic 8: Network Policy | 18% | - Policy Rules and Enforcement - Identity-Based Network Security |
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NEW QUESTION # 13
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 # 14
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: C
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 # 15
What is the correct statement about the masquerading feature?
Answer: C
Explanation:
Technical explanation
Masquerading performs source network address translation for qualifying traffic that leaves the cluster.
Because pod addresses are often private and not routable by the external network, Cilium replaces the pod's source address with an address belonging to the egress node. Return traffic can then reach that node, which reverses the translation and delivers the response to the originating pod. B correctly summarizes this behavior.
Masquerading is a form of SNAT, not DNAT. DNAT modifies the destination address, commonly to direct incoming traffic toward another endpoint, so C is incorrect.
Cilium documents its eBPF-based masquerading implementation as the more efficient implementation. The iptables version is the legacy alternative, making A false. Conversely, eBPF masquerading depends on appropriate kernel eBPF capabilities and Cilium's BPF NodePort functionality. It cannot be assumed to work on every kernel version, so D is false. The legacy iptables implementation is the mode documented as broadly working across kernel versions.
Cilium can exclude natively routable CIDRs from masquerading, and administrators may configure separate IPv4 and IPv6 masquerading behavior.
Official references
Cilium Masquerading , Cilium System Requirements
Study Guide topic: SNAT, native-routing exclusions, and eBPF versus iptables masquerading.
NEW QUESTION # 16
What is a correct statement related to BIG TCP, an eBPF-based feature in Cilium?
Answer: A
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 # 17
Which one of the following best describes the role Cilium provides in Kubernetes?
Answer: C
Explanation:
Technical explanation
Cilium functions as a Kubernetes Container Network Interface implementation. When Kubernetes creates or removes a pod sandbox, the container runtime invokes the configured CNI plugin. Cilium establishes the pod' s network connectivity, connects the workload to the node's networking environment, allocates or obtains an address through the configured IPAM mode, and coordinates the endpoint with the Cilium agent. Its eBPF datapath then supplies routing, service load balancing, policy enforcement, and network visibility.
Cilium provides substantially more functionality than the minimum CNI contract, but those additional capabilities do not change its primary Kubernetes networking role. Hubble supplies integrated network observability, yet Cilium is not merely a container-metrics monitor. Resource utilization such as CPU and memory is normally handled through Kubernetes metrics and monitoring systems.
Cilium is also not a Container Storage Interface. CSI drivers manage storage volumes, attachment, mounting, and lifecycle operations, which are unrelated to Cilium's primary responsibilities. Nor is Cilium simply a pod- operation logging mechanism. It can emit datapath events and diagnostic logs, but those are supporting capabilities.
Accordingly, D provides the correct architectural classification for Cilium in a Kubernetes cluster.
Official references
Introduction to Cilium and Hubble ; Cilium Helm Installation .
Study Guide topic: Architecture.
NEW QUESTION # 18
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