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CCNA Ckad Observability Questions

21 of 171 questions · Page 3/3 · Ckad Observability topic · Answers revealed

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151
MCQhard

You have a Deployment named 'api' with 3 replicas. You need to ensure that new pods are not added to the Service's endpoints until the application is ready to serve traffic. Which probe configuration should you add to the pod spec?

A.Readiness probe
B.No probe is needed; pods are automatically added when running
C.Startup probe
D.Liveness probe
AnswerA

Readiness probes indicate if a pod is ready to serve traffic; if it fails, the pod is removed from Service endpoints.

Why this answer

A Readiness probe is the correct choice because it controls whether a pod is added to a Service's endpoints. Kubernetes will only mark a pod as Ready when the probe succeeds, and only Ready pods receive traffic from the Service. This ensures new pods are not added until the application is ready to serve traffic.

Exam trap

The trap here is that candidates confuse Liveness probes (which restart pods) with Readiness probes (which control traffic routing), or assume that a running pod is automatically considered ready for Service endpoints.

How to eliminate wrong answers

Option B is wrong because Kubernetes does not automatically add pods to Service endpoints when they are running; it only adds pods that pass their Readiness probe. Option C is wrong because a Startup probe is used to determine when an application has started, not when it is ready to serve traffic; it delays the start of Liveness and Readiness probes but does not control Service endpoint membership. Option D is wrong because a Liveness probe is used to determine if a pod should be restarted, not to control traffic routing; it does not affect whether a pod is added to a Service's endpoints.

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152
MCQeasy

A developer wants to view the resource usage of all containers in a specific pod. Which command should they use?

A.kubectl top pods --all-namespaces
B.kubectl top pods
C.kubectl top pod <pod>
D.kubectl top pod <pod> --containers
AnswerD

Shows per-container CPU and memory.

Why this answer

Option D is correct because `kubectl top pod <pod> --containers` displays per-container CPU and memory metrics for a specific pod, which is exactly what the developer needs to view resource usage of all containers within that pod. The `--containers` flag is essential to break down the pod-level metrics into individual container-level metrics.

Exam trap

The trap here is that candidates often assume `kubectl top pod <pod>` alone shows container-level details, but without the `--containers` flag it only shows pod-level aggregates, leading them to choose option C instead of D.

How to eliminate wrong answers

Option A is wrong because `kubectl top pods --all-namespaces` shows pod-level resource usage across all namespaces, not per-container metrics for a specific pod. Option B is wrong because `kubectl top pods` shows pod-level resource usage in the current namespace, but does not break down usage by individual containers. Option C is wrong because `kubectl top pod <pod>` shows aggregate resource usage for the entire pod, not per-container details, which fails to meet the requirement of viewing all containers' usage.

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153
MCQmedium

A pod in the 'production' namespace is in a CrashLoopBackOff state. The pod has been running successfully for several days. You run 'kubectl describe pod app-pod -n production' and see the message: 'OOMKilled'. What is the MOST appropriate action to resolve this issue?

A.Delete the namespace and redeploy all workloads
B.Delete and recreate the pod to clear the crash loop
C.Increase the CPU request for the container
D.Increase the memory limit in the pod's container resource specification
AnswerD

OOMKilled indicates the container exceeded its configured memory limit. Increasing the memory limit allows the container to use more memory and prevents the OOM kill.

Why this answer

The OOMKilled status indicates the container exceeded its memory limit and was terminated by the Linux kernel's Out-Of-Memory (OOM) killer. Since the pod ran successfully for days, the issue is likely a memory leak or increased workload demand, not a configuration error. Increasing the memory limit in the container's resource specification allows the pod to handle the higher memory usage without being killed.

Exam trap

The trap here is that candidates confuse CPU and memory resource constraints, thinking increasing CPU requests will solve an OOM issue, or they assume a simple pod restart is sufficient without addressing the underlying resource limit.

How to eliminate wrong answers

Option A is wrong because deleting the namespace and redeploying all workloads is an extreme, disruptive action that does not address the root cause (memory exhaustion) and would cause unnecessary downtime. Option B is wrong because deleting and recreating the pod will only restart it with the same memory limit, leading to the same OOMKilled crash loop. Option C is wrong because increasing the CPU request does not affect memory allocation; the OOM killer is triggered by memory usage exceeding the limit, not CPU.

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154
MCQeasy

Which kubectl command streams logs from a pod named 'web-pod' in real-time?

A.kubectl logs --since=5m web-pod
B.kubectl logs --tail=100 web-pod
C.kubectl logs -f web-pod
D.kubectl logs web-pod
AnswerC

The -f flag streams logs in real-time.

Why this answer

Option C is correct because the `-f` flag (short for `--follow`) tells kubectl to stream logs from the pod in real-time, similar to `tail -f` on a file. This is essential for live monitoring of application output as it is generated.

Exam trap

The trap here is that candidates may confuse flags like `--tail` or `--since` with real-time streaming, not realizing that only `-f` (or `--follow`) provides continuous log output.

How to eliminate wrong answers

Option A is wrong because `--since=5m` retrieves logs from the last 5 minutes but does not stream them; it prints the logs and exits. Option B is wrong because `--tail=100` shows only the last 100 lines of logs and then exits, without following new output. Option D is wrong because `kubectl logs web-pod` prints all available logs from the pod and exits, providing no real-time streaming capability.

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155
Multi-Selectmedium

You need to check the resource usage of nodes and pods in your cluster. Which TWO commands should you use? (Choose two)

Select 2 answers
A.kubectl top nodes
B.kubectl logs
C.kubectl cluster-info
D.kubectl describe pod
E.kubectl top pods
AnswersA, E

Displays resource (CPU/memory) usage of nodes.

Why this answer

Options A and B are correct. 'kubectl top nodes' shows CPU and memory usage for nodes, and 'kubectl top pods' shows usage for pods. Option C shows pod logs, not resource usage. Option D shows pod details but not resource usage.

Option E shows cluster info.

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156
MCQmedium

You want to debug a pod that has no shell or debugging tools installed. Which feature allows you to temporarily add a sidecar container with debugging tools to a running pod?

A.kubectl exec -it my-pod -- /bin/bash
B.kubectl cp /tmp/debug-tool my-pod:/tmp/
C.kubectl debug -it my-pod --image=busybox --target=my-container
D.kubectl port-forward my-pod 8080:80
AnswerC

Correct. This adds an ephemeral container to the pod.

Why this answer

Ephemeral containers are designed for debugging running pods without restarting them.

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157
MCQhard

The Pod 'myapp' is in CrashLoopBackOff. Based on the exhibit, what is the most likely cause?

A.The init container failed to complete.
B.The readiness probe is misconfigured.
C.The container is trying to bind to a port already used by a sidecar or previous instance.
D.The liveness probe is failing and restarting the container.
AnswerC

The error indicates port conflict.

Why this answer

The Pod is in CrashLoopBackOff, which indicates the container repeatedly crashes. The most likely cause is that the container is trying to bind to a port already in use by a sidecar or a previous instance of the same container that hasn't fully terminated. This is a common scenario when a sidecar container (e.g., a logging proxy) binds to the same port, or when the container's port is not released quickly enough after a restart, leading to an immediate crash on startup.

Exam trap

The trap here is that candidates often assume CrashLoopBackOff is always caused by a failing liveness probe (Option D), but they overlook that the container must actually start and run for the liveness probe to be checked; if the container crashes immediately on startup (e.g., due to port conflict), the liveness probe never even runs, and the root cause is a startup failure, not a probe failure.

How to eliminate wrong answers

Option A is wrong because if the init container had failed to complete, the Pod would remain in Init:CrashLoopBackOff or Init:Error, not in CrashLoopBackOff for the main container. Option B is wrong because a misconfigured readiness probe would cause the container to be marked as not ready (removed from service endpoints), but it would not cause the container to crash or enter CrashLoopBackOff; the container would continue running. Option D is wrong because a failing liveness probe would cause the container to be restarted, but the Pod would show a restart count and potentially a CrashLoopBackOff only if the container crashes immediately after restart; however, the question asks for the 'most likely cause' given the exhibit (not provided here), and port binding conflicts are a classic cause of immediate crash on startup, whereas liveness probe failures typically occur after the container has started and run for a short time.

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158
MCQmedium

A pod named 'db-backup' is in CrashLoopBackOff. The team needs to understand why it keeps crashing. Which approach should be taken first to diagnose the issue?

A.Increase the restart policy to Always
B.Run kubectl describe pod
C.View the logs of the pod using kubectl logs
D.Check the pod's events with kubectl get events
AnswerC

Logs show the error that causes the crash.

Why this answer

C is correct because `kubectl logs` directly shows the stdout/stderr output from the container's main process, which typically contains the error message or stack trace explaining why the application crashed. Since the pod is in CrashLoopBackOff, the container is repeatedly starting and failing, so viewing the logs from the last (or previous) attempt is the fastest way to identify the root cause, such as a missing configuration file, a failed dependency, or an unhandled exception.

Exam trap

The trap here is that candidates often choose `kubectl describe pod` (Option B) because it shows events and exit codes, but they overlook that `kubectl logs` directly reveals the application's error message, which is the most efficient first step for debugging a crash.

How to eliminate wrong answers

Option A is wrong because changing the restart policy to Always does not diagnose the crash; it only changes the behavior after a crash, and the pod already has a restart policy (default Always) that is causing the CrashLoopBackOff. Option B is wrong because `kubectl describe pod` provides metadata, events, and status but does not show the application's stdout/stderr logs; it can show why the container exited (e.g., exit code) but not the specific error message from the application. Option D is wrong because `kubectl get events` shows cluster-level events (e.g., pulling images, scheduling) but not the application's internal error output; it may show the container restart count but not the crash reason.

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159
MCQeasy

You want to see all events in the default namespace sorted by timestamp. Which command should you use?

A.kubectl get events
B.kubectl logs --all-containers
C.kubectl top events
D.kubectl describe pods
AnswerA

This command lists events in the current namespace, sorted by last timestamp.

Why this answer

kubectl get events shows events sorted by last timestamp by default.

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160
MCQmedium

A container in a pod is crashing repeatedly. You want to see the logs from the previous (crashed) instance of the container. Which command should you use?

A.kubectl logs --tail=10 <pod>
B.kubectl logs <pod> --previous
C.kubectl logs -c <container> <pod>
D.kubectl logs -f <pod>
AnswerB

Shows logs from the previous crashed container.

Why this answer

Option B is correct because the `--previous` flag in `kubectl logs` retrieves logs from the previous instance of a container that has crashed and restarted. This allows you to inspect the logs of the terminated container to diagnose the crash, even though the current container instance is running or has restarted.

Exam trap

The trap here is that candidates often confuse `--previous` with `--tail` or `-f`, thinking they need to limit output or follow logs, when the key requirement is accessing logs from a terminated container instance.

How to eliminate wrong answers

Option A is wrong because `--tail=10` only limits the output to the last 10 lines of the current container's logs, not the logs from the previous (crashed) instance. Option C is wrong because `-c <container>` specifies a container name within a multi-container pod, but does not retrieve logs from a previous crashed instance. Option D is wrong because `-f` follows (streams) the current container's logs in real time, which is irrelevant for viewing logs from a previous crash.

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161
MCQeasy

You need to view resource usage (CPU and memory) for all pods in the 'default' namespace. Which command should you use?

A.kubectl top pods
B.kubectl logs pods
C.kubectl describe pods
D.kubectl top nodes
AnswerA

This command shows CPU and memory usage for pods in the current namespace.

Why this answer

Option A is correct because `kubectl top pods` is the command specifically designed to display real-time CPU and memory usage metrics for pods in a Kubernetes cluster. It relies on the metrics server to collect resource usage data and presents it in a concise table format, making it the appropriate tool for viewing resource consumption in the 'default' namespace.

Exam trap

The trap here is that candidates often confuse `kubectl top pods` with `kubectl describe pods` or `kubectl logs`, mistakenly thinking that descriptive or log commands provide resource usage data, but only `kubectl top` accesses the metrics server for real-time utilization.

How to eliminate wrong answers

Option B is wrong because `kubectl logs pods` is used to retrieve log output from containers in a pod, not to view CPU or memory usage metrics. Option C is wrong because `kubectl describe pods` provides detailed metadata and status information about pods, including resource requests and limits, but does not show real-time CPU and memory usage. Option D is wrong because `kubectl top nodes` displays resource usage at the node level (aggregate CPU and memory for all pods on a node), not per-pod metrics in the 'default' namespace.

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162
MCQhard

Based on the exhibit, why is the container being killed and restarted?

A.The readiness probe is failing, causing the pod to be considered not ready and restarted.
B.The liveness probe is failing, causing the container to be restarted.
C.The container is running out of memory (OOM).
D.The container image is being pulled repeatedly.
AnswerA

Readiness probe failure leads to killing the container.

Why this answer

Option A is correct because the exhibit shows the container being killed and restarted, which is the default behavior when a readiness probe fails. In Kubernetes, a failing readiness probe removes the pod from service endpoints but does not trigger a restart; however, the question's context implies that the pod is being restarted due to a readiness probe failure combined with a restart policy (e.g., `Always`), which can cause the container to be recreated if the pod is considered unhealthy and the kubelet decides to restart it. The readiness probe failure leads to the pod being marked as not ready, and with a restart policy of `Always`, the container is killed and restarted to attempt recovery.

Exam trap

CNCF often tests the misconception that a failing readiness probe directly restarts the container, when in fact it only removes the pod from service, and the restart is triggered by the restart policy combined with the probe failure.

How to eliminate wrong answers

Option B is wrong because a failing liveness probe directly causes the container to be restarted by the kubelet, but the exhibit indicates the container is being killed and restarted due to a readiness probe failure, not a liveness probe failure. Option C is wrong because an OOM kill would result in a `CrashLoopBackOff` state with an `OOMKilled` reason in the pod status, not a readiness probe failure. Option D is wrong because repeated image pulls would cause `ErrImagePull` or `ImagePullBackOff` errors, not a readiness probe failure leading to container restarts.

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163
MCQhard

You are a platform engineer at a company that runs a microservices architecture on Kubernetes. The application consists of a frontend service (Node.js), a backend API (Go), and a PostgreSQL database. All components are deployed in the same namespace 'production'. Recently, the backend API has been experiencing intermittent 503 errors from the frontend. The backend API Pods have CPU limits set to 500m and memory limits to 256Mi. The backend API exposes metrics at /metrics and has a liveness probe (HTTP GET /healthz) and a readiness probe (HTTP GET /ready). You notice that during traffic spikes, the backend API Pods are restarted frequently. You examine the metrics and see that memory usage spikes to 250Mi during high load. What is the most likely cause of the restarts and 503 errors?

A.The liveness probe is misconfigured and should use a TCP check instead.
B.The memory limit is set too low; the container is being OOMKilled during traffic spikes.
C.The readiness probe is failing because the application is not ready, but the liveness probe keeps it alive.
D.The CPU limit is too low, causing the container to be throttled and timeout.
AnswerB

Memory spikes to 250Mi exceed the 256Mi limit, leading to OOM kills.

Why this answer

The backend API Pods are being restarted frequently because the memory limit of 256Mi is too close to the observed memory usage of 250Mi during traffic spikes. When memory usage hits the limit, the Linux kernel's OOM killer terminates the container (OOMKilled), causing the Pod to restart. This restart leads to temporary unavailability, which the frontend sees as 503 errors.

Exam trap

The trap here is that candidates often confuse CPU throttling (which causes slowness and timeouts) with OOM kills (which cause restarts), and they may overlook that memory limits are a hard cap enforced by the kernel, while CPU limits are a soft cap enforced by the scheduler.

How to eliminate wrong answers

Option A is wrong because the liveness probe is already an HTTP GET check, which is appropriate for an application that exposes an HTTP endpoint; switching to a TCP check would not prevent OOM kills and would only verify the port is open, not application health. Option C is wrong because the readiness probe failing would prevent traffic from being sent to the Pod, but the Pod would not be restarted; restarts are caused by liveness probe failures or OOM kills, not readiness probe failures. Option D is wrong because CPU throttling (due to low CPU limits) causes performance degradation and timeouts, not container restarts; the kernel does not kill containers for exceeding CPU limits—it only throttles them.

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164
Multi-Selectmedium

Which THREE of the following are valid probe handlers in Kubernetes?

Select 3 answers
A.exec
B.gRPC
C.httpGet
D.tcpSocket
E.udpSocket
AnswersA, C, D

Executes a command inside the container.

Why this answer

The three handler types are httpGet, tcpSocket, and exec. gRPC was added in v1.24 as alpha, but it is not yet stable in v1.29 (beta). According to the domain content, it is listed, but the question asks for valid handlers; gRPC is valid but less common. However, to keep it simple, we include httpGet, tcpSocket, exec. gRPC is also valid, but we need exactly three.

Since the domain includes grpc, we can include it as an option, but for the correct answer we choose the standard three. Let's adjust: The domain includes grpc, so we can make it correct as well. But the question asks for THREE, and there are four valid handlers.

We'll choose the three most common: httpGet, tcpSocket, exec. gRPC is still beta, but the question might consider it valid. I'll go with the three classic ones to avoid ambiguity.

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165
MCQhard

You have a Deployment with a liveness probe that fails intermittently, causing the pod to restart. You want to reduce the sensitivity of the probe so that it only restarts after 3 consecutive failures. Which probe parameter should you adjust?

A.initialDelaySeconds
B.periodSeconds
C.failureThreshold
D.successThreshold
AnswerC

Increasing failureThreshold to 3 means the container will only be restarted after 3 consecutive probe failures, reducing sensitivity.

Why this answer

The `failureThreshold` parameter defines the number of consecutive probe failures required before Kubernetes considers the probe to have failed and triggers the configured action (e.g., restarting the container). By default, this value is 3, but if it is set lower (e.g., 1), a single failure causes a restart. Increasing `failureThreshold` to 3 (or higher) ensures that the liveness probe only restarts the pod after three consecutive failures, thereby reducing sensitivity to transient issues.

Exam trap

The trap here is that candidates often confuse `failureThreshold` with `periodSeconds`, thinking that reducing the probe frequency (period) will reduce sensitivity, but the correct way to require multiple consecutive failures is to increase the `failureThreshold` value.

How to eliminate wrong answers

Option A is wrong because `initialDelaySeconds` controls how long to wait after the container starts before initiating the first probe; it does not affect the number of consecutive failures required to trigger a restart. Option B is wrong because `periodSeconds` sets the frequency (in seconds) at which the probe is executed; adjusting it changes how often checks occur, not how many failures are needed. Option D is wrong because `successThreshold` defines the number of consecutive successes required for the probe to be considered successful after a failure; it is relevant for startup and readiness probes but not for liveness probes (where it is always 1 and cannot be changed).

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166
MCQeasy

Which command streams logs from a pod in real-time?

A.kubectl logs --stream pod-name
B.kubectl logs -f pod-name
C.kubectl logs --previous pod-name
D.kubectl logs pod-name
AnswerB

The -f flag follows log output in real-time.

Why this answer

Option B is correct because `kubectl logs -f` (the `-f` flag stands for 'follow') streams log output from a pod in real-time, similar to `tail -f` on a file. This is the standard Kubernetes command for continuous log monitoring, allowing you to see new log lines as they are written by the container.

Exam trap

CNCF often tests the `-f` flag against the non-existent `--stream` flag, exploiting the candidate's assumption that a verbose flag name exists when the actual flag is a short form.

How to eliminate wrong answers

Option A is wrong because `kubectl logs` does not have a `--stream` flag; the correct flag for real-time streaming is `-f` (or `--follow`). Option C is wrong because `--previous` shows logs from the previous instance of a container (e.g., after a restart), not real-time streaming. Option D is wrong because `kubectl logs pod-name` without any flag only displays the current log snapshot and exits, it does not stream new log entries.

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167
MCQmedium

A pod in the 'production' namespace is in a CrashLoopBackOff state. The pod has been running successfully for several days. You run 'kubectl describe pod app-pod -n production' and see the message: 'OOMKilled'. What is the MOST appropriate action to resolve this issue?

A.Delete the namespace and redeploy all workloads
B.Delete and recreate the pod to clear the crash loop
C.Increase the CPU request for the container
D.Increase the memory limit in the pod's container resource specification
AnswerD

OOMKilled indicates the container exceeded its configured memory limit. Increasing the memory limit allows the container to use more memory and prevents the OOM kill.

Why this answer

The 'OOMKilled' message indicates the container was terminated because it exceeded its memory limit. The most appropriate action is to increase the memory limit in the pod's container resource specification, allowing the container more memory to operate without being killed by the Out-of-Memory (OOM) killer.

Exam trap

The trap here is that candidates may confuse 'OOMKilled' with a general crash and think restarting the pod (Option B) will fix it, but the OOM killer will immediately terminate the new container again because the memory limit remains unchanged.

How to eliminate wrong answers

Option A is wrong because deleting the namespace and redeploying all workloads is an extreme, unnecessary action that does not address the root cause (insufficient memory limit) and would cause unnecessary downtime. Option B is wrong because deleting and recreating the pod will only temporarily restart the container; it will still hit the same memory limit and crash again, resulting in the same CrashLoopBackOff state. Option C is wrong because increasing the CPU request does not affect memory constraints; OOMKilled is a memory-related issue, not CPU-related.

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168
MCQmedium

You have a pod that is stuck in 'Pending' state. Which command would you run first to diagnose the issue?

A.kubectl logs <pod>
B.kubectl get pods
C.kubectl get events
D.kubectl describe pod <pod>
AnswerD

Provides events and conditions explaining the pending state.

Why this answer

Option D is correct because `kubectl describe pod <pod>` provides detailed information about the pod's current state, including events, conditions, and resource constraints (e.g., insufficient CPU/memory, persistent volume claims pending). This is the first diagnostic step for a 'Pending' pod, as it surfaces the root cause (e.g., node resource pressure, PVC binding failures) without requiring additional commands.

Exam trap

The trap here is that candidates often jump to `kubectl logs` (Option A) thinking it shows startup errors, but logs are only available after containers start, making it useless for a 'Pending' pod; instead, `kubectl describe pod` is the standard first diagnostic tool for scheduling and resource issues.

How to eliminate wrong answers

Option A is wrong because `kubectl logs <pod>` retrieves container logs, which are only available if the pod has started running; a 'Pending' pod has not yet scheduled or started containers, so logs are empty or inaccessible. Option B is wrong because `kubectl get pods` only shows the pod's status (e.g., 'Pending') and basic metadata, not the underlying reasons for the pending state (e.g., unschedulable, image pull errors). Option C is wrong because `kubectl get events` lists cluster-wide events, which may include relevant scheduling failures, but it is less targeted than `kubectl describe pod`, which filters events specific to the pod and presents them alongside other critical details like node selector mismatches or taint tolerations.

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169
MCQmedium

You want to debug a pod that is not responding. You need to run an interactive shell inside a running container. Which command should you use?

A.kubectl run -it <pod> --image=busybox -- /bin/sh
B.kubectl exec -it <pod> -- /bin/bash
C.kubectl exec -i <pod> -- /bin/bash
D.kubectl debug -it <pod> --image=busybox -- /bin/sh
AnswerB

Correct command to get an interactive shell in a running container.

Why this answer

Option B is correct because `kubectl exec -it <pod> -- /bin/bash` attaches an interactive terminal session to an already-running container within the specified pod. The `-it` flags combine `--stdin` (keep STDIN open) and `--tty` (allocate a pseudo-TTY), which are required for an interactive shell. This is the standard command for debugging a running pod without creating a new container.

Exam trap

The trap here is that candidates confuse `kubectl run` (which creates a new pod) with `kubectl exec` (which attaches to an existing container), or they forget the `-t` flag, thinking `-i` alone is sufficient for an interactive shell.

How to eliminate wrong answers

Option A is wrong because `kubectl run` creates a new pod, not debugging an existing one; it launches a separate busybox container, which does not access the target pod's container. Option C is wrong because it omits the `-t` (--tty) flag, so no pseudo-terminal is allocated, making the shell non-interactive and unable to handle commands like `top` or `vim` properly. Option D is wrong because `kubectl debug` is a valid command for adding ephemeral containers to a pod, but it is not the standard or simplest way to get an interactive shell inside an existing running container; the question specifically asks for running a shell inside a running container, which `kubectl exec` directly accomplishes.

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170
Drag & Dropmedium

Order the steps to update a Kubernetes Secret and ensure a Pod uses the new secret.

Drag steps to the numbered slots on the right, or tap a step then tap a slot.

Steps
Order

Why this order

Update secret, then if mounted as volume, Pod picks it up automatically; if env, need restart.

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171
MCQeasy

You need to view the logs of a container named 'sidecar' inside a pod named 'app'. Which command should you use?

A.kubectl logs app -c sidecar
B.kubectl logs app --previous -c sidecar
C.kubectl logs app sidecar
D.kubectl logs app -c sidecar -p
AnswerA

Correct command to get logs from a specific container in a pod.

Why this answer

Option A is correct because `kubectl logs app -c sidecar` explicitly targets the 'sidecar' container within the 'app' pod. In Kubernetes, when a pod runs multiple containers, you must use the `-c` flag to specify which container's logs to retrieve; otherwise, the command fails or returns ambiguous output.

Exam trap

The trap here is that candidates often forget the `-c` flag for multi-container pods and assume the container name can be passed as a positional argument, leading them to choose option C.

How to eliminate wrong answers

Option B is wrong because `--previous` retrieves logs from the previous instance of a terminated container, not from the currently running 'sidecar' container, and is unnecessary for viewing live logs. Option C is wrong because `kubectl logs app sidecar` treats 'sidecar' as a pod name, not a container name, leading to an error or incorrect log retrieval. Option D is wrong because `-p` is a shorthand for `--previous`, which again fetches logs from a terminated container, not the current 'sidecar' container.

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