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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Service Mesh | 16% | - Ingress and Gateway API integration - Transparent traffic encryption - Sidecar vs sidecarless architecture |
| Topic 2: Cluster Mesh | 10% | - Cross-cluster load balancing and failover - Multi-cluster connectivity and service discovery |
| Topic 3: Installation and Configuration | 10% | - Post-install validation and connectivity testing - Deployment methods (Helm, cilium-cli) |
| Topic 4: eBPF | 10% | - eBPF fundamentals and relevance to Cilium - eBPF-based networking, security, and observability |
| Topic 5: Architecture | 20% | - Cilium core architecture and components - CNI integration and kube-proxy replacement |
| Topic 6: BGP and External Networking | 6% | - External gateway integration - BGP peering and service advertisement |
| Topic 7: Network Observability | 10% | - Hubble UI and troubleshooting basics - Layer 7 visibility and flow monitoring - Hubble architecture and CLI usage |
| Topic 8: Network Policy | 18% | - Policy enforcement modes - Cilium vs Kubernetes network policies - Identity-aware and L3–L7 policy models |
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NEW QUESTION # 27
Which of these observability features is NOT supported by Hubble?
Answer: B
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 # 28
Which encapsulation protocols are supported when configuring Cilium in tunnel mode?
Answer: B
Explanation:
Technical explanation
Cilium tunnel mode supports VXLAN and Geneve encapsulation. In this routing model, Cilium nodes form an overlay mesh, and traffic exchanged between nodes is carried inside UDP-encapsulated packets. VXLAN is the default tunnel protocol and normally uses UDP port 8472. Geneve is the alternative and normally uses UDP port 6081. Operators select the protocol through the tunnel-protocol configuration setting, whose documented values are vxlan and geneve .
Encapsulation reduces the requirements placed on the underlying network. The underlay only needs to provide IP connectivity between the Kubernetes nodes and permit the selected UDP tunnel port. It does not need to learn or route individual PodCIDRs. Cilium also uses the tunnel metadata to carry information such as the source security identity, avoiding an additional identity lookup on the receiving node.
MPLS, OTV, STT, and EVPN are not supported values for Cilium's tunnel-protocol setting. EVPN may be used in broader data-center network designs, and MPLS is a carrier-routing technology, but neither is a Cilium overlay encapsulation choice. Therefore, B is the only supported pair.
Official references
Cilium Routing ; System Requirements .
Study Guide topic: Architecture.
NEW QUESTION # 29
What is an accurate description related to eBPF?
Answer: B
Explanation:
Technical explanation
D is the accurate general description because eBPF programs can attach at kernel and application-related hook points where data may already be decrypted, depending on the program and the selected hook. The statement says "could," not that every packet-processing eBPF program automatically decrypts TLS. Cilium's documented TLS-aware inspection uses controlled TLS termination and a userspace Envoy proxy; the broader point is that eBPF is not restricted to observing encrypted wire-format packets at a single network interface.
The other choices are directly contradicted by Cilium's eBPF documentation. XDP and traffic-control programs can be replaced atomically at runtime without rebooting the host or restarting network services, so A is false. Traffic-control BPF supports both ingress and egress hook points, making B false. Cilium also applies eBPF-based security to the host through its Host Firewall and host-policy capabilities; therefore, eBPF security is not inherently confined to container traffic, and C is false.
A critical distinction is that inspecting application plaintext depends on where the program attaches and where encryption occurs. Cilium's ordinary L3/L4 datapath does not magically decrypt TLS, while its documented TLS interception workflow explicitly terminates and re-originates selected connections to expose application- layer content.
Official references
Cilium eBPF program types ; eBPF datapath introduction ; Inspecting TLS Encrypted Connections .
Study Guide topic: eBPF.
NEW QUESTION # 30
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: D
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 # 31
A user has set up a global service as a Kubernetes user with access to clusters in a Cilium Cluster Mesh. They notice that all traffic is going to remote backend pods. What is a possible explanation?
Answer: C
Explanation:
Technical explanation
If a global Service has no healthy local endpoints matching its selector, every available backend can be remote. Cluster Mesh synchronizes remote service and endpoint information, allowing the local Cilium datapath to load-balance requests to backend pods in connected clusters. The absence of local endpoints therefore provides a direct explanation for the observed behavior.
If the local cluster were not part of the Cluster Mesh, its Cilium agents would not normally receive the remote endpoint state needed to route traffic through the global Service, so B does not explain successful remote-only selection. An affinity value of none is the default behavior and expresses no preference between local and remote endpoints. When both categories exist and are healthy, this permits load balancing across both; it does not require every connection to use remote backends.
Setting service.cilium.io/shared: "false" prevents the local Service's backends from being shared with remote clusters. It does not instruct the local cluster to direct all requests toward remote endpoints.
A separate possible cause, not presented among the choices, would be service.cilium.io/affinity: "remote" .
Among the supplied answers, however, A is the valid explanation.
Official references
Service Affinity ; Cluster Mesh .
Study Guide topic: Cluster Mesh.
NEW QUESTION # 32
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