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| Section | Weight | Objectives |
|---|---|---|
| Installation and Configuration | 10% | - Installation and Connectivity Testing - Cilium CLI and Configuration |
| Network Observability | 10% | - Hubble CLI and UI - Hubble and Layer 7 Visibility |
| Architecture | 20% | - Cilium Architecture and Components - IP Address Management and Datapath Models |
| Network Policy | 18% | - Policy Rules and Enforcement - Identity-Based Network Security |
| BGP and External Networking | 6% | - Connecting Cilium Clusters to External Networks - Egress Connectivity |
| Service Mesh | 16% | - Ingress and Gateway API - Traffic Encryption and Service Mesh Architectures |
| eBPF | 10% | - eBPF Role and Benefits - eBPF and iptables-Based Networking |
| Cluster Mesh | 10% | - Multi-Cluster Connectivity - Service Discovery and Load Balancing |
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NEW QUESTION # 22
Which question does Hubble provide the information to answer?
Answer: C
Explanation:
Technical explanation
Hubble provides network and security flow observability derived from Cilium's datapath. Its flow records include source and destination workloads, namespaces, identities, ports, protocols, forwarding verdicts, and drop reasons. Hubble can therefore identify services or workloads whose connections were rejected by network policy. The Hubble CLI supports filtering by verdict, such as --verdict DROPPED , and official examples show events labeled Policy denied DROPPED . These capabilities directly answer the question posed in option D.
Option B, which is marked as correct in the supplied bank, is not supported by the stated functionality.
Hubble may expose network-layer or supported application-layer metadata, including DNS and HTTP information when Layer 7 visibility is configured, but it is not a database query profiler and cannot determine which internal SQL statement ran longest merely from ordinary Hubble flows. Similarly, CPU utilization is a workload-resource metric normally obtained through Kubernetes metrics, Prometheus, or another monitoring system. Cilium BGP configuration is examined through Cilium configuration and BGP status commands rather than inferred from Hubble network flows.
The supplied answer key should therefore be corrected from B to D.
Official references
Inspecting Network Flows with the Hubble CLI ; Hubble internals .
Study Guide topic: Network Observability.
NEW QUESTION # 23
What is true about Layer 7 protocol visibility in Cilium?
Answer: B
Explanation:
Technical explanation
Layer 7 protocol visibility redirects traffic matching the relevant L7 rules to Cilium's node-local proxy, which is Envoy. Envoy parses supported application protocols and supplies the resulting request or response metadata to Cilium's observability pipeline. Therefore, C correctly identifies the architectural consequence of enabling this visibility.
The feature requires L7 proxy support and an appropriate CiliumNetworkPolicy containing Layer 7 rules. A standard Kubernetes NetworkPolicy is limited to Layer 3 and Layer 4 concepts and cannot express Cilium's HTTP, DNS, or generic application-protocol rules, so B is incorrect.
A is also incorrect. DNS policy and visibility are commonly applied to pod egress queries, and Cilium's model is not restricted to ingress-only DNS visibility. D overstates protocol coverage. Cilium supports defined L7 parsers and policy types-most prominently HTTP, DNS, Kafka, and supported generic Envoy- based protocols-but it does not promise arbitrary visibility for every application protocol. SSH, Telnet, and FTP cannot simply be assumed to receive native semantic parsing.
An operational caveat is that L7 visibility rules also affect policy enforcement: they are not merely passive packet logging instructions.
Official references
Layer 7 Protocol Visibility , Cilium Envoy
Study Guide topic: L7 proxy redirection, CiliumNetworkPolicy, protocol parsing, and Hubble visibility.
NEW QUESTION # 24
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 # 25
What is the default policy enforcement behavior?
Answer: A
NEW QUESTION # 26
What is an accurate description related to eBPF?
Answer: C
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 # 27
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