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Online Questions – Valid Practice To your Cilium-Associate Exam (Updated 62 Questions) [Q27-Q42]

Published date October 14, 2026

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Online Questions – Valid Practice To your Cilium-Associate Exam (Updated 62 Questions)

Practice To Cilium-Associate – Remarkable Practice On your Cilium Certified AssociateCCA Exam

Linux Foundation Cilium-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Architecture	20%	– CNI integration and kube-proxy replacement – Cilium core architecture and components
Service Mesh	16%	– Ingress and Gateway API integration – Transparent traffic encryption – Sidecar vs sidecarless architecture
BGP and External Networking	6%	– BGP peering and service advertisement – External gateway integration
eBPF	10%	– eBPF fundamentals and relevance to Cilium – eBPF-based networking, security, and observability
Cluster Mesh	10%	– Multi-cluster connectivity and service discovery – Cross-cluster load balancing and failover
Network Observability	10%	– Hubble UI and troubleshooting basics – Hubble architecture and CLI usage – Layer 7 visibility and flow monitoring
Network Policy	18%	– Policy enforcement modes – Cilium vs Kubernetes network policies – Identity-aware and L3–L7 policy models
Installation and Configuration	10%	– Post-install validation and connectivity testing – Deployment methods (Helm, cilium-cli)

Q27. Which question does Hubble provide the information to answer?

What is the configuration of Cilium B6P?

Which container database query ran the longest?

Which containers have the highest CPU utilization?

Which services had connections blocked due to network policy?

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.

Q28. The Cilium Agent is deployed as part of the Cilium installation. What of the following is true about the Cilium Agent?

Cilium Agent registers the Custom Resource Definitions that Cilium uses.

Cilium Agent creates the CiliumEndpoint objects for each pod in the cluster.

Cilium Agent manages IP addresses for LoadBalancer type services (if LB IPAM is used).

Cilium Agent synchronizes Kubernetes nodes information to the shared KVStore.

Technical explanation
For every pod managed by Cilium, the responsible node-local Cilium agent creates a CiliumEndpoint object with the same name and namespace. The object exposes endpoint state such as labels, the allocated security identity, addressing information, and effective policy. The agents also create endpoint objects for their inter- agent health endpoints. B is therefore correct.
The other responsibilities belong primarily to the Cilium Operator. The operator normally registers Cilium’s CustomResourceDefinitions, manages addresses for LoadBalancer Services when LB IPAM is active, and performs configured cluster-wide synchronization or shared-state operations. It also garbage-collects orphaned CiliumEndpoint resources when their associated pods no longer exist or have permanently completed.
The Cilium agent itself runs on each node. It responds to workload lifecycle events, creates and manages local endpoints, loads eBPF programs, applies policies, and maintains the node’s datapath. This division ensures that latency-sensitive forwarding and endpoint operations remain node-local while logically cluster-wide activities are consolidated in the operator.
Official references
CiliumEndpoint CRD , Cilium Operator Responsibilities
Study Guide topic: Cilium agent, Cilium Operator, and CiliumEndpoint lifecycle.

Q29. What is true about Layer 7 protocol visibility in Cilium?

DNS visibility in available in the ingress direction only.

It can be enabled by deploying a standard Kubernetes network policy.

It results in traffic being proxied through an Envoy instance.

It supports any Layer 7 protocols, including SSH, Telnet and FTP.

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.

Q30. Which statement about Cilium’s identity-based security model is correct?

An endpoint identity Is identified by labels and is tied to a single namespace.

Security is based on the identity of a pod, which is derived through labels.

By using an IP-address security model, identities can be shared between pods.

Cilium enforces security based on IP addresses as it provides better scalability and flexibility.

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.

Q31. Which one of the following best describes the role Cilium provides in Kubernetes?

Cilium is a monitoring tool for container metrics.

Cilium is a Container Storage Interface (CSI).

Cilium is a logging mechanism for pod operations.

Cilium is a Container Networking Interface (CNI).

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.

Q32. When considering changing an existing cluster’s IPAM (IP address management) mode, what is the safest path?

Update the IPAM mode through Kubernetes Node resource.

Change the IPAM mode and restart the Cilium Agents.

Directly modify the IPAM configuration of the existing cluster.

Install a fresh Kubernetes cluster with a new IPAM configuration.

Technical explanation
The official IPAM documentation expressly states that the safest way to change IPAM mode is to install a fresh Kubernetes cluster using the required new IPAM configuration. A live cluster already contains allocated workload addresses, node routing state, Cilium endpoint state, service state, and potentially cloud-provider resources that depend on the active allocator. Replacing the allocator in place can invalidate these assumptions and cause persistent connectivity disruption rather than merely a short agent restart.
Updating a Kubernetes Node object does not generally convert Cilium’s IPAM mode. The responsible resource and allocation behavior depend on the selected mode: Kubernetes host-scope IPAM, cluster-pool IPAM, multi-pool IPAM, CRD-backed modes, and cloud-specific allocators manage address information differently. Restarting agents after changing a configuration value likewise does not constitute a safe migration plan, because existing endpoints and routes may retain state created under the former allocator.
Cilium advises against changing the IPAM mode of an existing cluster unless a specifically documented migration procedure applies. The currently documented exception is migration from cluster-pool IPAM to multi-pool IPAM. As the question provides no such constrained scenario, D is the unambiguously safest answer.
Official references
IP Address Management .
Study Guide topic: Installation and Configuration.

Q33. What is the default policy enforcement behavior?

If any rule selects an Endpoint and the rule has an ingress section, the Endpoint goes into default deny at ingress. f any rule selects an Endpoint and the rule has an egress section, the Endpoint goes into default deny at egress.

If any rule selects an Endpoint and the rule has an ingress section, the Endpoint goes Into default deny at egress. f any rule selects an Endpoint and the rule has an egress section, the Endpoint goes into default deny at ingress.

If any rule selects an Endpoint and the rule has an ingress section, the Endpoint goes Into default allow at egress, f any rule selects an Endpoint and the rule has an egress section, the Endpoint goes into default allow at ingress.

If any rule selects an Endpoint and the rule has an ingress section, the Endpoint goes Into default allow at Ingress, f any rule selects an Endpoint and the rule has an egress section, the Endpoint goes into default allow at egress.

Q34. What is a correct statement related to BIG TCP, an eBPF-based feature in Cilium?

BIG TCP requires updating the Maximum Transmission Unit (MTU) across the network.

While BIG TCP increases the transactions count, it causes higher latency between pods.

BIG TCP addresses the limitation in the size of the packets, caused by the 16-bit length field in the IP header.

BIG TCP is incompatible with features like GRO (Generic Receive Offload) and TSO (Transmit Segmentation Offload).

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.

Q35. Which proxy does Cilium use to enforce HTTP and other Layer 7 (L7) policies specified in network policies for the cluster?

HAProxy

Squid

Linkerd2-proxy

Envoy

Technical explanation
Cilium uses Envoy as its userspace Layer 7 proxy. When a Cilium policy contains HTTP or another supported application-layer rule, Cilium’s eBPF datapath identifies matching traffic and redirects it to a node-local Envoy instance. Envoy evaluates the application-layer attributes-such as HTTP method, path, or headers- against the generated policy configuration and then forwards or rejects the request.
The proxy can operate in embedded mode as a separate process inside the Cilium agent pod or as the independently life-cycled cilium-envoy DaemonSet. Both deployment forms use Cilium’s optimized Envoy distribution and custom policy-enforcement filters. Communication between the agent and Envoy uses local UNIX-domain sockets for configuration, access logs, and administrative operations.
HAProxy is a capable general-purpose load balancer, but it is not Cilium’s L7 policy proxy. Squid primarily serves forward and caching proxy use cases. linkerd2-proxy belongs to the Linkerd service mesh and is not used by Cilium for network-policy enforcement. Consequently, only D identifies the proxy integrated into Cilium’s L7 datapath.
Official references
Cilium Envoy , Cilium eBPF Datapath Introduction
Study Guide topic: Envoy proxy integration and Layer 7 policy enforcement.

Q36. Which statement is true about Mutual Authentication with Cilium?

By default, data of SPIRE is stored In memory.

Cilium’s Mutual authentication has been validated with SPIFFE, the production-ready implementation of SPIRE.

Enabling Mutual Authentication on Cilium requires installing, managing, and configuring a SPIRE server.

Through SPIRE, TLS certificates are automatically managed and frequently rotated.

Technical explanation
SPIRE supplies workload identities as SPIFFE Verifiable Identity Documents, including X.509 key material used for mutual authentication. SPIFFE’s identity model supports automatic issuance, rotation, and revocation, allowing short-lived certificates to be renewed without manually distributing static credentials.
This makes D the correct statement.
Option A reverses the documented default. Cilium’s default SPIRE installation requires persistent-volume support. In-memory storage can be selected for laboratory environments by disabling server data storage, but that setting causes SPIRE data to be recreated if the server pod restarts. Option B also reverses the relationship between the projects: SPIFFE defines the identity standards and APIs, while SPIRE is a production-ready implementation of SPIFFE. Cilium’s mutual-authentication integration has been validated with SPIRE.
Option C overstates the operational requirement. A SPIRE server is involved, but Cilium’s Helm chart can deploy and configure the supported SPIRE server and per-node agents. Administrators may provide their own deployment, yet a completely manual installation is not mandatory.
Current documentation classifies this mutual-authentication implementation as beta and notes limitations, including incompatibility with Cluster Mesh trust domains. Those maturity constraints do not change the certificate-management behavior described in D.
Official references
Cilium Mutual Authentication .
Study Guide topic: Service Mesh.

Q37. What is true about WireGuard encryption on Cilium?

Packets are encrypted when they are destined to the same node from which they were sent. This is to ensure confidentiality of traffic within the node.

It provides encryption for node-to-node, pod-to-node, node-to-pod, and pop-to-pod traffic as long as the pods are on different nodes.

When running in the tunneling mode, pod-to-pod traffic will be sent over the WireGuard tunnel before being transmitted over the overlay tunnel.

When WireGuard is enabled in Cilium, each pod will establish a secure WireGuard tunnel between it and all other known pods in the cluster.

Technical explanation
B is the best answer, with two qualifications. First, “pop-to-pod” is evidently a source typo for “pod-to-pod.” Second, default WireGuard mode encrypts traffic between Cilium-managed pods on different nodes; node-to- node, pod-to-node, and node-to-pod coverage requires enabling the additional encryption.
nodeEncryption=true mode.
Cilium creates WireGuard peers per node, not per pod. Each Cilium agent generates a node key pair, advertises the public key through its CiliumNode resource, and forms secure tunnels with other known nodes.
This makes D incorrect. Same-node packets do not traverse a WireGuard tunnel because encryption cannot protect them from an observer already able to inspect raw traffic on that host, so A reverses the documented behavior.
C also reverses the encapsulation sequence. In tunnel-routing mode, pod traffic is first encapsulated for the VXLAN or Geneve overlay and is then encapsulated by WireGuard. The result is double encapsulation, with WireGuard protecting the overlay packet while it crosses the network between nodes.
Thus, B describes WireGuard’s supported traffic coverage most closely, but exam candidates should remember the separate node-encryption configuration requirement.
Official references
WireGuard Transparent Encryption
Study Guide topic: WireGuard peer architecture, encrypted traffic matrix, same-node behavior, and encapsulation order.

Q38. This an Ingress configuration. What is the equivalent Gateway API configuration?

Question 19 source Ingress
A)

Question 19 option A
B)

Question 19 option B
C)

Question 19 option C
D)

Question 19 option D

Option A

Option B

Option C

Option D

Technical explanation
Option B correctly represents the Ingress as a Gateway and an attached HTTPRoute . The Gateway is named cilium , uses gatewayClassName: cilium , and exposes an HTTP listener on port 80. The HTTPRoute uses parentRefs with the same Gateway name, cilium , so the route attaches to the declared listener. Its two rules preserve the original routing behavior: /details with PathPrefix targets the details Service on port 9080, while / with PathPrefix targets productpage on port 9080.
Option A declares a Gateway named cilium but attaches its route to nginx-gateway . Because the parent reference does not identify the displayed Gateway, it is not equivalent. Options C and D use kind: Route ; the correct resource kind for HTTP path routing is HTTPRoute . They also contain malformed or altered backend and matching fields. Option D changes the details backend name, while option C contains incorrect route structure and path content.
Cilium’s official migration example uses the same conversion pattern: the Ingress class becomes the Gateway’ s class, paths move into HTTPRoute.rules , and the route identifies its Gateway through parentRefs .
The supplied key incorrectly identifies A. The verified answer is B.
Official references
HTTP Migration Example .
Study Guide topic: Service Mesh.

Q39. 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?

There are no local endpoints matching the selector for the service.

The cluster is not part of the Cilium Cluster Mesh.

The service.cilium.io/affinity: “none” annotation Is set on the service.

The service.cilium.io/shared: “false” annotation is set on the service.

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.

Q40. Which component is embedded in the Cilium Agent and retrieves eBPF-based visibility from Cilium?

Cilium CNI

Cilium Operator

Hubble Relay

Hubble Server

Technical explanation
The Hubble Server is embedded in each Cilium agent and consumes the eBPF-derived visibility data produced on that node. It exposes gRPC services through which clients can retrieve flow events, node and namespace information, server status, and related observability data. Embedding the server in the agent enables high-performance collection with comparatively low overhead.
Hubble Relay has a different role. It is a standalone component that discovers and connects to the Hubble Server instances running across the cluster. Relay aggregates their individual APIs to provide multi-node or cluster-wide visibility to clients such as the Hubble CLI and Hubble UI. It is therefore not the component embedded in the agent.
The Cilium CNI plugin is invoked when Kubernetes creates or removes pods and asks the local agent to configure their networking and datapath. The Cilium Operator performs cluster-wide management duties such as selected IPAM and shared-state operations. Neither component is responsible for exposing eBPF flow visibility.
This server-relay distinction is central to understanding Hubble’s distributed architecture: Server provides node-local visibility, while Relay combines multiple servers into a cluster-wide view.
Official references
Hubble Internals , Cilium Component Overview
Study Guide topic: Hubble Server, Hubble Relay, and distributed flow observability.

Q41. What is NOT a valid description of the sidecar-based model?

pod start-up time can be significantly slowed by the Injection of sidecars, or worse, It can cause race conditions or other instabilities.

With sidecars, the instrumentation container is Injected into each pod. The application pod has to be restarted for the sidecar to be added.

The sidecar approach used by service meshes forces the instrumentation into the source code of the application.

Using a networking sidecar means that all traffic to and from the application has to travel through the network stack to reach a proxy container

Technical explanation
C is not a valid description. A service-mesh sidecar externalizes networking functions into a proxy container running beside the application; it does not force the instrumentation logic into the application’s source code.
In fact, a core service-mesh objective is to provide connectivity, security, traffic management, and observability transparently without requiring application-code changes.
The operational concerns in the other choices are characteristic of sidecar implementations. A proxy must be injected into each workload pod, increasing container count and potentially affecting pod initialization, resource consumption, ordering, and readiness. Adding a sidecar to an existing pod template normally requires the pods to be recreated because Kubernetes cannot dynamically add a new container to an already- running pod.
Traffic interception also directs application traffic through the sidecar proxy and its network namespace paths, adding network-stack traversal and proxy-processing overhead. Cilium’s service-mesh design can instead use node-level Envoy proxies together with eBPF traffic redirection, avoiding one proxy container in every application pod. This preserves transparent application behavior while reducing the per-workload operational burden.
Official references
Cilium Service Mesh , Cilium Ingress and Network Policy Example
Study Guide topic: Sidecar-based and sidecar-free service-mesh architectures.

Q42. Why is the iptables implementation of kube-proxy less scalable than eBPF?

eBPF makes use of the kernel, while iptables does not.

Iptables’s complexity is linear while eBPF Is constant-time.

Iptables is incompatible with IPv6 services in Kubernetes.

Iptables is incompatible with eXpressDataPath for smartNICs.

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.

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