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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Service Mesh | 16% | - Ingress and Gateway API - Traffic Encryption and Service Mesh Architectures |
| Topic 2: eBPF | 10% | - eBPF Role and Benefits - eBPF and iptables-Based Networking |
| Topic 3: Architecture | 20% | - IP Address Management and Datapath Models - Cilium Architecture and Components |
| Topic 4: Network Policy | 18% | - Identity-Based Network Security - Policy Rules and Enforcement |
| Topic 5: BGP and External Networking | 6% | - Connecting Cilium Clusters to External Networks - Egress Connectivity |
| Topic 6: Cluster Mesh | 10% | - Multi-Cluster Connectivity - Service Discovery and Load Balancing |
| Topic 7: Installation and Configuration | 10% | - Installation and Connectivity Testing - Cilium CLI and Configuration |
| Topic 8: Network Observability | 10% | - Hubble CLI and UI - Hubble and Layer 7 Visibility |
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NEW QUESTION # 43
What is a correct statement related to BIG TCP, an eBPF-based feature in Cilium?
Answer: D
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 # 44
Which statement about Cilium's identity-based security model is correct?
Answer: B
Explanation:
Technical explanation
Cilium derives a workload's security identity from its security-relevant labels. Network policies then refer to workload characteristics such as application, role, environment, namespace, or service account rather than depending exclusively on transient pod IP addresses. The identity is associated with traffic in the Cilium datapath and validated when policy is enforced. This makes B the accurate description.
The identity is not limited to a single pod. Endpoints that have the same set of identity-relevant labels can share the same numeric security identity, including endpoints located on different cluster nodes. This reduces policy-map growth and allows policy to scale with logical application groups rather than with the number of pod addresses. Namespace information is normally among the labels used to derive identity, but that does not make an identity inherently "tied to a single namespace" as option A states.
Options C and D invert Cilium's design. IP addresses remain necessary for packet delivery, but they are not the primary security identifier for Cilium-managed workloads. Pods can be recreated and assigned new addresses while retaining the same relevant labels and therefore the same security intent. Decoupling identity from addressing is precisely what improves scalability and operational stability.
Official references
Cilium Terminology and Identity ; Introduction to Cilium and Hubble .
Study Guide topic: Architecture.
NEW QUESTION # 45
Why is the iptables implementation of kube-proxy less scalable than eBPF?
Answer: B
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 # 46
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 # 47
What is correct about this Cilium Network Policy?
Question 21 Cilium Network Policy exhibit
Answer: C
Explanation:
Technical explanation
The intended policy selects every Cilium-managed endpoint in the namespace where the CiliumNetworkPolicy is created because endpointSelector: {} is empty. The manifest does not specify metadata.namespace ; if it is applied normally in the default namespace, the selected endpoints are therefore all pods in default , not pods across every namespace. The egress destination selector identifies pods in kube- system carrying k8s-app: kube-dns , while matchPattern: "*" allows all DNS query names handled by the DNS rule. This supports the intended answer A.
There is, however, a material defect in the exhibit: toPorts is a list in the Cilium policy schema, but the image shows rules directly beneath toPorts without a preceding list marker. The official form is toPorts: , followed by - ports: and rules: within that list item. Port 53 and its protocol should also be stated explicitly. Exactly as displayed, the manifest should not be treated as a valid deployable policy.
The question should be corrected before examination use. Once the missing list item and port definition are restored, A accurately describes its scope and effect.
Official references
Using Kubernetes Constructs in Policy ; Layer 7 Protocol Visibility .
Study Guide topic: Network Policy.
NEW QUESTION # 48
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