Linux Foundation KCNA Practice Test 48
Question 470
A scheduler reports FailedScheduling for topology constraints and developers waste time changing the web-app port. Which TWO complementary steps supply the appropriate approach AND the evidence required to validate it? Select TWO.
- Inspect pod/container name, restartCount, lastState, previous log output and log collector availability.
- Use ephemeral containers to inspect a running Pod when its application image lacks debug tools, with approved access to sensitive process namespaces.
- Examine object conditions and timestamped Events to understand image, scheduling, mount and admission failures before applying speculative fixes.
- Release artifacts have verifiable origin and unapproved build paths are rejected before application rollout.
- Review kubectl describe output, warning reasons, first/last timestamps and relevant controller ownership.
Explanation
Correct Answers
C:Examine object conditions and timestamped Events to understand image, scheduling, mount and admission failures before applying speculative fixes. This response implements the controlling Kubernetes or cloud native principle. Events describe control-plane and kubelet observations but are not a permanent complete incident log. Check its effect by: Review kubectl describe output, warning reasons, first/last timestamps and relevant controller ownership. This is the implementation part of the required paired answer. Workload context: A scheduler reports FailedScheduling for topology constraints and developers waste time changing the web-app port.
E:Review kubectl describe output, warning reasons, first/last timestamps and relevant controller ownership. This is the most discriminating evidence for the described failure or requirement. Events describe control-plane and kubelet observations but are not a permanent complete incident log. The corresponding implementation is: Examine object conditions and timestamped Events to understand image, scheduling, mount and admission failures before applying speculative fixes. This is the diagnostic evidence part of the paired answer. Workload context: A scheduler reports FailedScheduling for topology constraints and developers waste time changing the web-app port.
Incorrect Answers
A:Inspect pod/container name, restartCount, lastState, previous log output and log collector availability. This step belongs to kubectl logs current versus previous instance rather than the complementary implementation and evidence pair. The intended approach is: Examine object conditions and timestamped Events to understand image, scheduling, mount and admission failures before applying speculative fixes. Validate with: Review kubectl describe output, warning reasons, first/last timestamps and relevant controller ownership. Workload context: A scheduler reports FailedScheduling for topology constraints and developers waste time changing the web-app port.
B:Use ephemeral containers to inspect a running Pod when its application image lacks debug tools, with approved access to sensitive process namespaces. This step belongs to Ephemeral debug containers for minimal images rather than the complementary implementation and evidence pair. The intended approach is: Examine object conditions and timestamped Events to understand image, scheduling, mount and admission failures before applying speculative fixes. Validate with: Review kubectl describe output, warning reasons, first/last timestamps and relevant controller ownership. Workload context: A scheduler reports FailedScheduling for topology constraints and developers waste time changing the web-app port.
D:Release artifacts have verifiable origin and unapproved build paths are rejected before application rollout. This step belongs to Software supply chain attestations rather than the complementary implementation and evidence pair. The intended approach is: Examine object conditions and timestamped Events to understand image, scheduling, mount and admission failures before applying speculative fixes. Validate with: Review kubectl describe output, warning reasons, first/last timestamps and relevant controller ownership. Workload context: A scheduler reports FailedScheduling for topology constraints and developers waste time changing the web-app port.
Question 471
A team deploys a proprietary cloud load-balancer annotation and assumes the same manifest will work unchanged on bare metal. Which observable result BEST confirms the desired Kubernetes or cloud native behavior?
- A single downstream failure degrades gracefully without causing an uncontrolled cascade across independent services.
- Alerts identify meaningful user-impacting regressions before the service spends an unacceptable error budget.
- Platform selections fit the actual problem without expecting one component to implement the whole cloud native stack.
- Workloads can be redeployed between supported clusters with explicitly identified environment-specific adaptations.
Explanation
Correct Answer
D:Workloads can be redeployed between supported clusters with explicitly identified environment-specific adaptations. This is an observable service outcome, not just evidence that a configuration file was saved. Cloud native APIs improve portability but do not guarantee identical storage classes, load balancers or custom controllers across clouds. Workload context: A team deploys a proprietary cloud load-balancer annotation and assumes the same manifest will work unchanged on bare metal.
Incorrect Answers
A:A single downstream failure degrades gracefully without causing an uncontrolled cascade across independent services. That result validates Microservices contracts and failure isolation rather than the requirement here. Verify instead: Workloads can be redeployed between supported clusters with explicitly identified environment-specific adaptations. Workload context: A team deploys a proprietary cloud load-balancer annotation and assumes the same manifest will work unchanged on bare metal.
B:Alerts identify meaningful user-impacting regressions before the service spends an unacceptable error budget. That result validates SLIs SLOs and golden signals rather than the requirement here. Verify instead: Workloads can be redeployed between supported clusters with explicitly identified environment-specific adaptations. Workload context: A team deploys a proprietary cloud load-balancer annotation and assumes the same manifest will work unchanged on bare metal.
C:Platform selections fit the actual problem without expecting one component to implement the whole cloud native stack. That result validates CNCF ecosystem and Kubernetes roles rather than the requirement here. Verify instead: Workloads can be redeployed between supported clusters with explicitly identified environment-specific adaptations. Workload context: A team deploys a proprietary cloud load-balancer annotation and assumes the same manifest will work unchanged on bare metal.
Question 472
A replicated database Deployment recreates Pods with different names and volumes while its clustering logic requires stable ordinals. Which evidence should the engineer inspect FIRST to distinguish the likely cause or verify the prerequisite?
- Review namespace pod-security labels, admission warnings, violations and workload securityContext.
- Inspect PV persistentVolumeReclaimPolicy, underlying disk state, claim release and storage provisioner behavior.
- Inspect StatefulSet ordinal Pod names, headless Service, volumeClaimTemplates and update strategy.
- Inspect volume type, mount paths, Pod owner, node placement and data recovery requirements.
Explanation
Correct Answer
C:Inspect StatefulSet ordinal Pod names, headless Service, volumeClaimTemplates and update strategy. This is the most discriminating evidence for the described failure or requirement. StatefulSets manage stable identities and can provision distinct PVCs; they do not automatically provide database replication correctness. The corresponding implementation is: Use StatefulSets for workloads needing stable ordinal identity and per-replica persistent claims rather than one shared ephemeral Deployment. Workload context: A replicated database Deployment recreates Pods with different names and volumes while its clustering logic requires stable ordinals.
Incorrect Answers
A:Review namespace pod-security labels, admission warnings, violations and workload securityContext. These observations are more relevant to Pod Security Admission and namespaces, not this case. The distinguishing check is: Inspect StatefulSet ordinal Pod names, headless Service, volumeClaimTemplates and update strategy. Workload context: A replicated database Deployment recreates Pods with different names and volumes while its clustering logic requires stable ordinals.
B:Inspect PV persistentVolumeReclaimPolicy, underlying disk state, claim release and storage provisioner behavior. These observations are more relevant to PV reclaim policy Retain versus Delete, not this case. The distinguishing check is: Inspect StatefulSet ordinal Pod names, headless Service, volumeClaimTemplates and update strategy. Workload context: A replicated database Deployment recreates Pods with different names and volumes while its clustering logic requires stable ordinals.
D:Inspect volume type, mount paths, Pod owner, node placement and data recovery requirements. These observations are more relevant to Ephemeral emptyDir versus persistent volumes, not this case. The distinguishing check is: Inspect StatefulSet ordinal Pod names, headless Service, volumeClaimTemplates and update strategy. Workload context: A replicated database Deployment recreates Pods with different names and volumes while its clustering logic requires stable ordinals.
Question 473
A three-replica app lands entirely in one zone because topology spread was configured for hostname rather than zone. Which observable result BEST confirms the desired Kubernetes or cloud native behavior?
- Replicas spread or co-locate according to declared constraints with predictable behavior when no feasible topology exists.
- Replica placement stays within the intended skew or reports clear scheduling limits.
- Protected nodes accept explicitly tolerated workloads and repel unrelated Pods under intended effects.
- Clients reach the intended healthy backends through a stable Service name despite Pod replacement.
Explanation
Correct Answer
B:Replica placement stays within the intended skew or reports clear scheduling limits. This is an observable service outcome, not just evidence that a configuration file was saved. Spread constraints balance matching Pods across topology domains; missing topology labels and strict maxSkew can prevent placement. Workload context: A three-replica app lands entirely in one zone because topology spread was configured for hostname rather than zone.
Incorrect Answers
A:Replicas spread or co-locate according to declared constraints with predictable behavior when no feasible topology exists. That result validates Pod affinity anti-affinity rather than the requirement here. Verify instead: Replica placement stays within the intended skew or reports clear scheduling limits. Workload context: A three-replica app lands entirely in one zone because topology spread was configured for hostname rather than zone.
C:Protected nodes accept explicitly tolerated workloads and repel unrelated Pods under intended effects. That result validates Taints tolerations and node protection rather than the requirement here. Verify instead: Replica placement stays within the intended skew or reports clear scheduling limits. Workload context: A three-replica app lands entirely in one zone because topology spread was configured for hostname rather than zone.
D:Clients reach the intended healthy backends through a stable Service name despite Pod replacement. That result validates Service stable virtual endpoint rather than the requirement here. Verify instead: Replica placement stays within the intended skew or reports clear scheduling limits. Workload context: A three-replica app lands entirely in one zone because topology spread was configured for hostname rather than zone.
Question 474
A Gateway HTTPRoute has an invalid parent reference, leaving it unattached even though backend Service endpoints are healthy. Which Kubernetes or cloud native approach BEST addresses the stated requirement?
- Use supported Ingress or Gateway API resources together with a running controller to route HTTP traffic by host and path.
- Use a Service type LoadBalancer with a supported cloud or in-cluster load-balancer controller to provide an approved external endpoint.
- Inspect restart history and previous-container logs to diagnose repeatedly exiting containers and fix startup or runtime failures.
- Combine RBAC with NetworkPolicy to control both Kubernetes API permissions and east-west workload traffic.
Explanation
Correct Answer
A:Use supported Ingress or Gateway API resources together with a running controller to route HTTP traffic by host and path. This response implements the controlling Kubernetes or cloud native principle. Ingress and Gateway API resources describe routing intent; a controller implements data-plane forwarding. Check its effect by: Inspect controller readiness, class or Gateway association, route attachment status, TLS Secret and backend Service mapping. Workload context: A Gateway HTTPRoute has an invalid parent reference, leaving it unattached even though backend Service endpoints are healthy.
Incorrect Answers
B:Use a Service type LoadBalancer with a supported cloud or in-cluster load-balancer controller to provide an approved external endpoint. This action addresses LoadBalancer Service provisioning instead of the controlling requirement. A LoadBalancer Service depends on an implementation or provider controller; creating it does not guarantee an external address. For this scenario prefer: Use supported Ingress or Gateway API resources together with a running controller to route HTTP traffic by host and path. Workload context: A Gateway HTTPRoute has an invalid parent reference, leaving it unattached even though backend Service endpoints are healthy.
C:Inspect restart history and previous-container logs to diagnose repeatedly exiting containers and fix startup or runtime failures. This action addresses CrashLoopBackOff and previous logs instead of the controlling requirement. CrashLoopBackOff indicates repeated container exits and restart delays, not a scheduler placement failure. For this scenario prefer: Use supported Ingress or Gateway API resources together with a running controller to route HTTP traffic by host and path. Workload context: A Gateway HTTPRoute has an invalid parent reference, leaving it unattached even though backend Service endpoints are healthy.
D:Combine RBAC with NetworkPolicy to control both Kubernetes API permissions and east-west workload traffic. This action addresses Namespace segmentation with NetworkPolicies instead of the controlling requirement. NetworkPolicy governs data-plane traffic, whereas RBAC governs API actions; neither alone replaces the other. For this scenario prefer: Use supported Ingress or Gateway API resources together with a running controller to route HTTP traffic by host and path. Workload context: A Gateway HTTPRoute has an invalid parent reference, leaving it unattached even though backend Service endpoints are healthy.
Question 475
A pipeline marks a change released because unit tests passed but no deployment job ever updated the Kubernetes cluster. Which TWO complementary steps supply the appropriate approach AND the evidence required to validate it? Select TWO.
- Troubleshooters inspect network and process behavior without bloating or rebuilding the immutable production image.
- Inspect rendered helm template output, values merge order, chart dependency versions and release status.
- Configure Deployment rollout strategy with availability bounds and use rollout history when an update requires controlled rollback.
- Inspect commit identity, build/test results, artifact digest, promotion approval and deployment events.
- Use continuous integration to build and test changes and controlled delivery or deployment to promote validated artifacts to target environments.
Explanation
Correct Answers
D:Inspect commit identity, build/test results, artifact digest, promotion approval and deployment events. This is the most discriminating evidence for the described failure or requirement. CI validates and packages changes while CD handles delivery or deployment; a successful build is not proof of production rollout. The corresponding implementation is: Use continuous integration to build and test changes and controlled delivery or deployment to promote validated artifacts to target environments. This is the diagnostic evidence part of the paired answer. Workload context: A pipeline marks a change released because unit tests passed but no deployment job ever updated the Kubernetes cluster.
E:Use continuous integration to build and test changes and controlled delivery or deployment to promote validated artifacts to target environments. This response implements the controlling Kubernetes or cloud native principle. CI validates and packages changes while CD handles delivery or deployment; a successful build is not proof of production rollout. Check its effect by: Inspect commit identity, build/test results, artifact digest, promotion approval and deployment events. This is the implementation part of the required paired answer. Workload context: A pipeline marks a change released because unit tests passed but no deployment job ever updated the Kubernetes cluster.
Incorrect Answers
A:Troubleshooters inspect network and process behavior without bloating or rebuilding the immutable production image. This step belongs to Ephemeral debug containers for minimal images rather than the complementary implementation and evidence pair. The intended approach is: Use continuous integration to build and test changes and controlled delivery or deployment to promote validated artifacts to target environments. Validate with: Inspect commit identity, build/test results, artifact digest, promotion approval and deployment events. Workload context: A pipeline marks a change released because unit tests passed but no deployment job ever updated the Kubernetes cluster.
B:Inspect rendered helm template output, values merge order, chart dependency versions and release status. This step belongs to Helm charts templates and values rather than the complementary implementation and evidence pair. The intended approach is: Use continuous integration to build and test changes and controlled delivery or deployment to promote validated artifacts to target environments. Validate with: Inspect commit identity, build/test results, artifact digest, promotion approval and deployment events. Workload context: A pipeline marks a change released because unit tests passed but no deployment job ever updated the Kubernetes cluster.
C:Configure Deployment rollout strategy with availability bounds and use rollout history when an update requires controlled rollback. This step belongs to Deployment rolling updates and rollback rather than the complementary implementation and evidence pair. The intended approach is: Use continuous integration to build and test changes and controlled delivery or deployment to promote validated artifacts to target environments. Validate with: Inspect commit identity, build/test results, artifact digest, promotion approval and deployment events. Workload context: A pipeline marks a change released because unit tests passed but no deployment job ever updated the Kubernetes cluster.
Question 476
A team specifies a restrictive seccomp profile but its runtime ignores an unsupported profile name and administrators must check enforcement. Which evidence should the engineer inspect FIRST to distinguish the likely cause or verify the prerequisite?
- Inspect external IP status, controller events, security groups, health checks and upstream target availability.
- Inspect securityContext, runAsUser, allowPrivilegeEscalation, capabilities, seccompProfile and startup errors.
- Examine authentication identity, RBAC decision, admission webhook result and API response status.
- Inspect Secret read permissions, encryption configuration, encoded manifest values and audit trails.
Explanation
Correct Answer
B:Inspect securityContext, runAsUser, allowPrivilegeEscalation, capabilities, seccompProfile and startup errors. This is the most discriminating evidence for the described failure or requirement. Disabling privilege escalation and dropping Linux capabilities reduce risk but do not replace image or API authorization. The corresponding implementation is: Run containers with nonroot identities, minimal capabilities and an appropriate seccomp profile for reduced kernel attack surface. Workload context: A team specifies a restrictive seccomp profile but its runtime ignores an unsupported profile name and administrators must check enforcement.
Incorrect Answers
A:Inspect external IP status, controller events, security groups, health checks and upstream target availability. These observations are more relevant to LoadBalancer Service provisioning, not this case. The distinguishing check is: Inspect securityContext, runAsUser, allowPrivilegeEscalation, capabilities, seccompProfile and startup errors. Workload context: A team specifies a restrictive seccomp profile but its runtime ignores an unsupported profile name and administrators must check enforcement.
C:Examine authentication identity, RBAC decision, admission webhook result and API response status. These observations are more relevant to Authentication authorization and admission order, not this case. The distinguishing check is: Inspect securityContext, runAsUser, allowPrivilegeEscalation, capabilities, seccompProfile and startup errors. Workload context: A team specifies a restrictive seccomp profile but its runtime ignores an unsupported profile name and administrators must check enforcement.
D:Inspect Secret read permissions, encryption configuration, encoded manifest values and audit trails. These observations are more relevant to Secret base64 encoding versus encryption, not this case. The distinguishing check is: Inspect securityContext, runAsUser, allowPrivilegeEscalation, capabilities, seccompProfile and startup errors. Workload context: A team specifies a restrictive seccomp profile but its runtime ignores an unsupported profile name and administrators must check enforcement.
Question 477
A service enters CrashLoopBackOff because an override points at a binary absent from the container image. Which observable result BEST confirms the desired Kubernetes or cloud native behavior?
- Containers launch the intended process with arguments preserved and failures remain visible through status.
- An operator investigates a running Pod without modifying its immutable application image or replacing production workload containers.
- Administrative commands target the intended cluster and avoid accidental changes to another environment.
- Principals can perform only intended operations at the correct scope while denied actions remain inaccessible.
Explanation
Correct Answer
A:Containers launch the intended process with arguments preserved and failures remain visible through status. This is an observable service outcome, not just evidence that a configuration file was saved. Kubernetes command maps to the image ENTRYPOINT override and args maps to CMD arguments; a process exit can restart a Pod. Workload context: A service enters CrashLoopBackOff because an override points at a binary absent from the container image.
Incorrect Answers
B:An operator investigates a running Pod without modifying its immutable application image or replacing production workload containers. That result validates Ephemeral debugging containers rather than the requirement here. Verify instead: Containers launch the intended process with arguments preserved and failures remain visible through status. Workload context: A service enters CrashLoopBackOff because an override points at a binary absent from the container image.
C:Administrative commands target the intended cluster and avoid accidental changes to another environment. That result validates kubectl context and cluster selection rather than the requirement here. Verify instead: Containers launch the intended process with arguments preserved and failures remain visible through status. Workload context: A service enters CrashLoopBackOff because an override points at a binary absent from the container image.
D:Principals can perform only intended operations at the correct scope while denied actions remain inaccessible. That result validates Role and ClusterRole authorization rather than the requirement here. Verify instead: Containers launch the intended process with arguments preserved and failures remain visible through status. Workload context: A service enters CrashLoopBackOff because an override points at a binary absent from the container image.
Question 478
A node runs containerd but kubelet points at a nonexistent CRI socket and all Pod sandboxes fail. Which Kubernetes or cloud native approach BEST addresses the stated requirement?
- Use an authorized ephemeral container for live Pod diagnostics when the original image lacks troubleshooting tools.
- Use a compatible container runtime via the Kubernetes Container Runtime Interface to create and manage containers on nodes.
- Plan component upgrades using the currently supported version-skew policy and validated addon compatibility rather than upgrading arbitrarily.
- Use kubectl get, describe and logs as complementary views of object state, events and container output before changing resources.
Explanation
Correct Answer
B:Use a compatible container runtime via the Kubernetes Container Runtime Interface to create and manage containers on nodes. This response implements the controlling Kubernetes or cloud native principle. A runtime executes containers; the CRI is its API integration with kubelet rather than the Kubernetes API server. Check its effect by: Inspect kubelet runtime endpoint, CRI protocol support, containerd service status and runtime errors. Workload context: A node runs containerd but kubelet points at a nonexistent CRI socket and all Pod sandboxes fail.
Incorrect Answers
A:Use an authorized ephemeral container for live Pod diagnostics when the original image lacks troubleshooting tools. This action addresses Ephemeral debugging containers instead of the controlling requirement. Ephemeral containers are intended for debugging and do not behave like ordinary replicated application containers. For this scenario prefer: Use a compatible container runtime via the Kubernetes Container Runtime Interface to create and manage containers on nodes. Workload context: A node runs containerd but kubelet points at a nonexistent CRI socket and all Pod sandboxes fail.
C:Plan component upgrades using the currently supported version-skew policy and validated addon compatibility rather than upgrading arbitrarily. This action addresses Kubernetes upgrades and version skew instead of the controlling requirement. API compatibility and supported component skew determine upgrade sequencing; not every Kubernetes version jump is supported. For this scenario prefer: Use a compatible container runtime via the Kubernetes Container Runtime Interface to create and manage containers on nodes. Workload context: A node runs containerd but kubelet points at a nonexistent CRI socket and all Pod sandboxes fail.
D:Use kubectl get, describe and logs as complementary views of object state, events and container output before changing resources. This action addresses kubectl inspect and describe diagnostics instead of the controlling requirement. kubectl get summarizes objects; describe reveals events and details; logs reveals container stdout/stderr, not complete API diagnostics. For this scenario prefer: Use a compatible container runtime via the Kubernetes Container Runtime Interface to create and manage containers on nodes. Workload context: A node runs containerd but kubelet points at a nonexistent CRI socket and all Pod sandboxes fail.
Question 479
Operators update control-plane binaries but ignore cluster DNS and CNI version compatibility during the change. Which evidence should the engineer inspect FIRST to distinguish the likely cause or verify the prerequisite?
- Check server and kubelet versions, deprecated APIs, CNI/CSI compatibility, maintenance order and rollback limits.
- Inspect local-versus-server manifest diff, field ownership, admission rejection and resulting resource generation.
- Inspect SBOM package inventory, CVE applicability, signature validation and approved exception decisions.
- Inspect Pod requests/limits, node allocatable capacity, usage history, throttling and OOMKilled events.
Explanation
Correct Answer
A:Check server and kubelet versions, deprecated APIs, CNI/CSI compatibility, maintenance order and rollback limits. This is the most discriminating evidence for the described failure or requirement. API compatibility and supported component skew determine upgrade sequencing; not every Kubernetes version jump is supported. The corresponding implementation is: Plan component upgrades using the currently supported version-skew policy and validated addon compatibility rather than upgrading arbitrarily. Workload context: Operators update control-plane binaries but ignore cluster DNS and CNI version compatibility during the change.
Incorrect Answers
B:Inspect local-versus-server manifest diff, field ownership, admission rejection and resulting resource generation. These observations are more relevant to kubectl apply and declarative updates, not this case. The distinguishing check is: Check server and kubelet versions, deprecated APIs, CNI/CSI compatibility, maintenance order and rollback limits. Workload context: Operators update control-plane binaries but ignore cluster DNS and CNI version compatibility during the change.
C:Inspect SBOM package inventory, CVE applicability, signature validation and approved exception decisions. These observations are more relevant to Image scanning and software bills of materials, not this case. The distinguishing check is: Check server and kubelet versions, deprecated APIs, CNI/CSI compatibility, maintenance order and rollback limits. Workload context: Operators update control-plane binaries but ignore cluster DNS and CNI version compatibility during the change.
D:Inspect Pod requests/limits, node allocatable capacity, usage history, throttling and OOMKilled events. These observations are more relevant to CPU requests and memory limits, not this case. The distinguishing check is: Check server and kubelet versions, deprecated APIs, CNI/CSI compatibility, maintenance order and rollback limits. Workload context: Operators update control-plane binaries but ignore cluster DNS and CNI version compatibility during the change.
Question 480
A CI job sends gigabytes of irrelevant files as build context and produces unexpectedly large, slow image artifacts. Which observable result BEST confirms the desired Kubernetes or cloud native behavior?
- Kubelet can start Pod sandboxes and containers through the configured CRI without incompatible shim failures.
- Principals can perform only intended operations at the correct scope while denied actions remain inaccessible.
- Deployments use lean images without exposed build-time credentials or unnecessary packages.
- Operators identify the failing object and use evidence before editing controllers or escalating access.
Explanation
Correct Answer
C:Deployments use lean images without exposed build-time credentials or unnecessary packages. This is an observable service outcome, not just evidence that a configuration file was saved. Deleting a file in a later image layer does not erase secrets committed into an earlier layer. Workload context: A CI job sends gigabytes of irrelevant files as build context and produces unexpectedly large, slow image artifacts.
Incorrect Answers
A:Kubelet can start Pod sandboxes and containers through the configured CRI without incompatible shim failures. That result validates Container runtime and CRI rather than the requirement here. Verify instead: Deployments use lean images without exposed build-time credentials or unnecessary packages. Workload context: A CI job sends gigabytes of irrelevant files as build context and produces unexpectedly large, slow image artifacts.
B:Principals can perform only intended operations at the correct scope while denied actions remain inaccessible. That result validates Role and ClusterRole authorization rather than the requirement here. Verify instead: Deployments use lean images without exposed build-time credentials or unnecessary packages. Workload context: A CI job sends gigabytes of irrelevant files as build context and produces unexpectedly large, slow image artifacts.
D:Operators identify the failing object and use evidence before editing controllers or escalating access. That result validates kubectl inspect and describe diagnostics rather than the requirement here. Verify instead: Deployments use lean images without exposed build-time credentials or unnecessary packages. Workload context: A CI job sends gigabytes of irrelevant files as build context and produces unexpectedly large, slow image artifacts.