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Kubernetes and Cloud Native Associate KCNA Practice Test 58

Question 570

A Kubernetes platform team observes this situation: A team needs to expose a risky version to a small percentage of users before general rollout. Which action BEST addresses the requirement?

  1. Use an expand-and-contract schema migration across compatible application versions
  2. Use a controlled canary or progressive-delivery mechanism with metrics gates
  3. Configure termination handling and adequate termination grace period
  4. Define a readiness probe that excludes it from traffic until ready

Explanation

Correct Answer

B:

Use a controlled canary or progressive-delivery mechanism with metrics gates. This is appropriate for the described asset and control gap because canary delivery limits the blast radius of new behavior for evaluation. If the issue is left untreated, switching every user at once makes regression impact harder to contain. An assessor can verify remediation when the canary receives the intended fraction of traffic and failure stops promotion.

Incorrect Answers

A:

Use an expand-and-contract schema migration across compatible application versions. The operation “Use an expand-and-contract schema migration across compatible application versions” does not address the particular Kubernetes requirement “Use a controlled canary or progressive-delivery mechanism with metrics gates”.

C:

Configure termination handling and adequate termination grace period. The operation “Configure termination handling and adequate termination grace period” does not address the particular Kubernetes requirement “Use a controlled canary or progressive-delivery mechanism with metrics gates”.

D:

Define a readiness probe that excludes it from traffic until ready. The operation “Define a readiness probe that excludes it from traffic until ready” does not address the particular Kubernetes requirement “Use a controlled canary or progressive-delivery mechanism with metrics gates”.

Question 571

The platform team applies this control: Run the container with an unprivileged UID and restricted capabilities. The original issue is: A service container runs as root without a business justification. Which observation BEST validates the result?

  1. Uploaded files remain accessible after a complete Pod replacement
  2. Image inventory lists only required runtime packages after rebuild
  3. The process runs without root and cannot perform prohibited privileged actions
  4. The application starts only after the init container succeeds

Explanation

Correct Answer

C:

The process runs without root and cannot perform prohibited privileged actions. This is stronger than observing a saved configuration because it tests the actual outcome of run the container with an unprivileged UID and restricted capabilities. The underlying principle is that linux user and capability boundaries can constrain process privileges. The original risk was that default root privileges can widen impact after application compromise.

Incorrect Answers

A:

Container writable filesystems are ephemeral across replacement and rescheduling. The observation “Uploaded files remain accessible after a complete Pod replacement” would validate that property, rather than the required “The process runs without root and cannot perform prohibited privileged actions”. Linux user and capability boundaries can constrain process privileges.

B:

Reducing unneeded image contents reduces exposed packages and maintenance cost. The observation “Image inventory lists only required runtime packages after rebuild” would validate that property, rather than the required “The process runs without root and cannot perform prohibited privileged actions”. Linux user and capability boundaries can constrain process privileges.

D:

Init containers complete sequentially before ordinary application containers start. The observation “The application starts only after the init container succeeds” would validate that property, rather than the required “The process runs without root and cannot perform prohibited privileged actions”. Linux user and capability boundaries can constrain process privileges.

Question 572

In the situation "A database needs persistent disk capacity without hardcoding a specific underlying disk resource", the team applies "Create a PVC with the required size, access mode, and StorageClass". Which outcome is the strongest verification?

  1. The containers share temporary files and replacement starts with a clean directory
  2. A test VolumeSnapshot restores the expected dataset to a new claim
  3. Both Pods mount a provisioned ReadWriteMany volume as supported
  4. The claim binds and the database mounts compatible persistent storage

Explanation

Correct Answer

D:

The claim binds and the database mounts compatible persistent storage. This is stronger than observing a saved configuration because it tests the actual outcome of create a PVC with the required size, access mode, and StorageClass. The underlying principle is that persistentVolumeClaims request storage independently of physical volume provisioning. The original risk was that hardcoding a host path ties data availability to one worker node.

Incorrect Answers

A:

EmptyDir storage lives for a Pod's lifetime and is shared by its containers. The observation “The containers share temporary files and replacement starts with a clean directory” would validate that property, rather than the required “The claim binds and the database mounts compatible persistent storage”. PersistentVolumeClaims request storage independently of physical volume provisioning.

B:

Kubernetes snapshots require compatible snapshot controller and CSI support. The observation “A test VolumeSnapshot restores the expected dataset to a new claim” would validate that property, rather than the required “The claim binds and the database mounts compatible persistent storage”. PersistentVolumeClaims request storage independently of physical volume provisioning.

C:

Volume access modes express compatibility requirements for concurrent mounts. The observation “Both Pods mount a provisioned ReadWriteMany volume as supported” would validate that property, rather than the required “The claim binds and the database mounts compatible persistent storage”. PersistentVolumeClaims request storage independently of physical volume provisioning.

Question 573

A team implemented the proposed remedy for this problem: A production change must wait for a security approval after staging validation. Which evidence BEST shows it works?

  1. The release log shows validated artifacts and the required approval decision
  2. The canary receives the intended fraction of traffic and failure stops promotion
  3. A consistent chart deploys with separately reviewed development and production values
  4. Both application revisions function during the transition and cleanup follows cutover

Explanation

Correct Answer

A:

The release log shows validated artifacts and the required approval decision. This is stronger than observing a saved configuration because it tests the actual outcome of implement a CI/CD promotion gate separating build, test, and release stages. The underlying principle is that continuous delivery can require approvals without conflating deployment with building. The original risk was that automatically pushing every successful build to production bypasses change control.

Incorrect Answers

B:

Canary delivery limits the blast radius of new behavior for evaluation. The observation “The canary receives the intended fraction of traffic and failure stops promotion” would validate that property, rather than the required “The release log shows validated artifacts and the required approval decision”. Continuous delivery can require approvals without conflating deployment with building.

C:

Helm templates Kubernetes resources and tracks packaged release revisions. The observation “A consistent chart deploys with separately reviewed development and production values” would validate that property, rather than the required “The release log shows validated artifacts and the required approval decision”. Continuous delivery can require approvals without conflating deployment with building.

D:

Mixed-version rolling deployments require old and new software to tolerate shared data schema. The observation “Both application revisions function during the transition and cleanup follows cutover” would validate that property, rather than the required “The release log shows validated artifacts and the required approval decision”. Continuous delivery can require approvals without conflating deployment with building.

Question 574

The team has not corrected this condition: A network application listens on port 9090 but a Service forwards to port 8080. Which risk is MOST relevant?

  1. Repackaging production images with shell tools just for inspection increases risk
  2. A correct Service name cannot compensate for a wrong backend port
  3. Exposing the service publicly for local debugging can introduce unnecessary access
  4. A readiness probe alone only changes traffic eligibility and will not restart it

Explanation

Correct Answer

B:

A correct Service name cannot compensate for a wrong backend port. This is the direct concern in the stated scenario because service targetPort maps the abstract port to the selected Pod's target. The matching mitigation is to inspect Service targetPort and the container's actual listening endpoint. Successful verification would show that requests through the Service reach the application on its listening port.

Incorrect Answers

A:

Ephemeral containers can supply troubleshooting tools without rebuilding application images. That explains the warning “Repackaging production images with shell tools just for inspection increases risk”; this case instead concerns “A correct Service name cannot compensate for a wrong backend port”. Service targetPort maps the abstract port to the selected Pod's target.

C:

Port forwarding establishes an explicit temporary API-mediated connection path. That explains the warning “Exposing the service publicly for local debugging can introduce unnecessary access”; this case instead concerns “A correct Service name cannot compensate for a wrong backend port”. Service targetPort maps the abstract port to the selected Pod's target.

D:

Liveness probes detect a running container that requires restart. That explains the warning “A readiness probe alone only changes traffic eligibility and will not restart it”; this case instead concerns “A correct Service name cannot compensate for a wrong backend port”. Service targetPort maps the abstract port to the selected Pod's target.

Question 575

Given the requirement "A new container image must be reproducible after a source-code change", the proposed fix is "Build from a versioned Dockerfile or Containerfile with pinned dependencies". Which principle explains why it works?

  1. Multi-stage builds copy only selected results into the final container image
  2. Image pull policy determines whether a node checks the registry for an image
  3. Image builds package application layers from reproducible instructions
  4. Kubernetes uses the Container Runtime Interface to coordinate container execution

Explanation

Correct Answer

C:

Image builds package application layers from reproducible instructions. That principle directly explains the selected remediation, build from a versioned Dockerfile or Containerfile with pinned dependencies, for this case. Without the distinction, building mutable local state without source control undermines release reproducibility. The expected confirmation is that two clean builds from the same inputs produce compatible functional outputs.

Incorrect Answers

A:

Multi-stage builds copy only selected results into the final container image. The operation “Multi-stage builds copy only selected results into the final container image” does not address the particular Kubernetes requirement “Image builds package application layers from reproducible instructions”.

B:

Image pull policy determines whether a node checks the registry for an image. The operation “Image pull policy determines whether a node checks the registry for an image” does not address the particular Kubernetes requirement “Image builds package application layers from reproducible instructions”.

D:

Kubernetes uses the Container Runtime Interface to coordinate container execution. The operation “Kubernetes uses the Container Runtime Interface to coordinate container execution” does not address the particular Kubernetes requirement “Image builds package application layers from reproducible instructions”.

Question 576

A Kubernetes platform team observes this situation: A backend needs one stable network endpoint even while its matching Pods are replaced. Which action BEST addresses the requirement?

  1. Update the desired-state manifest or controlling resource instead of manual drift
  2. Reference a Kubernetes Secret with least-privilege access and encryption-at-rest policy
  3. Compare Service selectors with the actual Pod labels and ownership
  4. Expose the matching Pods through a ClusterIP Service and stable selector

Explanation

Correct Answer

D:

Expose the matching Pods through a ClusterIP Service and stable selector. This is appropriate for the described asset and control gap because a Service provides a stable virtual endpoint decoupled from changing Pod addresses. If the issue is left untreated, clients targeting individual ephemeral Pod addresses will break after replacement. An assessor can verify remediation when dNS resolution and requests continue to work after all backend Pod IPs change.

Incorrect Answers

A:

Update the desired-state manifest or controlling resource instead of manual drift. The operation “Update the desired-state manifest or controlling resource instead of manual drift” does not address the particular Kubernetes requirement “Expose the matching Pods through a ClusterIP Service and stable selector”.

B:

Reference a Kubernetes Secret with least-privilege access and encryption-at-rest policy. The operation “Reference a Kubernetes Secret with least-privilege access and encryption-at-rest policy” does not address the particular Kubernetes requirement “Expose the matching Pods through a ClusterIP Service and stable selector”.

C:

Compare Service selectors with the actual Pod labels and ownership. The operation “Compare Service selectors with the actual Pod labels and ownership” does not address the particular Kubernetes requirement “Expose the matching Pods through a ClusterIP Service and stable selector”.

Question 577

The team has not corrected this condition: A Pod is Pending because required affinity matches no current node. Which risk is MOST relevant?

  1. Deleting unrelated running Pods cannot create a matching node label
  2. Placing every replica on one node creates a single-node outage risk
  3. Selecting a node label does not necessarily colocate with the intended application
  4. Using a toleration alone can place the restricted Pod on ordinary nodes

Explanation

Correct Answer

A:

Deleting unrelated running Pods cannot create a matching node label. This is the direct concern in the stated scenario because unsatisfied hard node affinity prevents scheduler placement despite free resources. The matching mitigation is to inspect failed-scheduling conditions and compare affinity with node labels. Successful verification would show that after a correct node label or policy change the Pod becomes scheduled.

Incorrect Answers

B:

Pod anti-affinity can keep matching Pods on separate topology domains. That explains the warning “Placing every replica on one node creates a single-node outage risk”; this case instead concerns “Deleting unrelated running Pods cannot create a matching node label”. Unsatisfied hard node affinity prevents scheduler placement despite free resources.

C:

Pod affinity can make placements depend on other matching Pods in topology domains. That explains the warning “Selecting a node label does not necessarily colocate with the intended application”; this case instead concerns “Deleting unrelated running Pods cannot create a matching node label”. Unsatisfied hard node affinity prevents scheduler placement despite free resources.

D:

Tolerations remove a taint barrier but affinity enforces actual placement constraints. That explains the warning “Using a toleration alone can place the restricted Pod on ordinary nodes”; this case instead concerns “Deleting unrelated running Pods cannot create a matching node label”. Unsatisfied hard node affinity prevents scheduler placement despite free resources.

Question 578

In the situation "Two tightly coupled applications should be placed near one another for low latency", the team applies "Use appropriate Pod affinity matching the collaborating workload labels". Which outcome is the strongest verification?

  1. The Pod appears only on nodes labeled for the compliance pool
  2. The collaborating Pods run within the expected topology relationship
  3. Scheduling events clear and Pods land across correctly labeled topology groups
  4. The container stays within a tested memory budget and avoids OOMKilled restarts

Explanation

Correct Answer

B:

The collaborating Pods run within the expected topology relationship. This is stronger than observing a saved configuration because it tests the actual outcome of use appropriate Pod affinity matching the collaborating workload labels. The underlying principle is that pod affinity can make placements depend on other matching Pods in topology domains. The original risk was that selecting a node label does not necessarily colocate with the intended application.

Incorrect Answers

A:

Tolerations remove a taint barrier but affinity enforces actual placement constraints. The observation “The Pod appears only on nodes labeled for the compliance pool” would validate that property, rather than the required “The collaborating Pods run within the expected topology relationship”. Pod affinity can make placements depend on other matching Pods in topology domains.

C:

Affinity decisions depend on consistent node topology-key labels. The observation “Scheduling events clear and Pods land across correctly labeled topology groups” would validate that property, rather than the required “The collaborating Pods run within the expected topology relationship”. Pod affinity can make placements depend on other matching Pods in topology domains.

D:

Exceeding a container memory limit can trigger termination independent of CPU usage. The observation “The container stays within a tested memory budget and avoids OOMKilled restarts” would validate that property, rather than the required “The collaborating Pods run within the expected topology relationship”. Pod affinity can make placements depend on other matching Pods in topology domains.

Question 579

A team implemented the proposed remedy for this problem: A compliance reviewer expects cluster rebuilds to reproduce exactly the current running setup. Which evidence BEST shows it works?

  1. A load test scales replicas within limits and meets performance targets
  2. An injected dependency outage produces bounded latency and graceful degradation
  3. A clean environment rebuild recreates intended controls from approved versioned inputs
  4. The architecture design accounts for automated rollout, monitoring, and scaling

Explanation

Correct Answer

C:

A clean environment rebuild recreates intended controls from approved versioned inputs. This is stronger than observing a saved configuration because it tests the actual outcome of store declarative infrastructure and workload configurations in reviewed source control. The underlying principle is that infrastructure as code and desired-state convergence support repeatability and auditability. The original risk was that undocumented manual changes make recovery and verification unreliable.

Incorrect Answers

A:

Elastic systems can adjust replica capacity according to demand and policy. The observation “A load test scales replicas within limits and meets performance targets” would validate that property, rather than the required “A clean environment rebuild recreates intended controls from approved versioned inputs”. Infrastructure as code and desired-state convergence support repeatability and auditability.

B:

Resilience patterns keep transient dependency faults from consuming all callers. The observation “An injected dependency outage produces bounded latency and graceful degradation” would validate that property, rather than the required “A clean environment rebuild recreates intended controls from approved versioned inputs”. Infrastructure as code and desired-state convergence support repeatability and auditability.

D:

Cloud-native systems combine organizational practices and technology, not only a container runtime. The observation “The architecture design accounts for automated rollout, monitoring, and scaling” would validate that property, rather than the required “A clean environment rebuild recreates intended controls from approved versioned inputs”. Infrastructure as code and desired-state convergence support repeatability and auditability.

Question 580

The team has not corrected this condition: A service becomes available only after loading a cache and initializing connections. Which risk is MOST relevant?

  1. Permanent manual edits can cause configuration drift from the approved repository
  2. Switching every user at once makes regression impact harder to contain
  3. Immediate process termination can interrupt in-flight work or cause duplicate payment calls
  4. Routing requests to a running but uninitialized process causes transient failures

Explanation

Correct Answer

D:

Routing requests to a running but uninitialized process causes transient failures. This is the direct concern in the stated scenario because readiness probes control endpoint eligibility independently of process status. The matching mitigation is to define a readiness probe that excludes it from traffic until ready. Successful verification would show that the Service endpoint appears only after initialization succeeds.

Incorrect Answers

A:

GitOps uses declared source-control desired state with automated convergence. That explains the warning “Permanent manual edits can cause configuration drift from the approved repository”; this case instead concerns “Routing requests to a running but uninitialized process causes transient failures”. Readiness probes control endpoint eligibility independently of process status.

B:

Canary delivery limits the blast radius of new behavior for evaluation. That explains the warning “Switching every user at once makes regression impact harder to contain”; this case instead concerns “Routing requests to a running but uninitialized process causes transient failures”. Readiness probes control endpoint eligibility independently of process status.

C:

Kubernetes sends shutdown signals and allows bounded cleanup before forced stop. That explains the warning “Immediate process termination can interrupt in-flight work or cause duplicate payment calls”; this case instead concerns “Routing requests to a running but uninitialized process causes transient failures”. Readiness probes control endpoint eligibility independently of process status.

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