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KCNA Exam Lab Questions, Updated KCNA CBT
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2025 Linux Foundation KCNA: Authoritative Kubernetes and Cloud Native Associate Exam Lab Questions
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q175-Q180):
NEW QUESTION # 175
You are working on a microservices application running on Kubernetes, using Istio for traffic management and observability. You have deployed a new version of one of your microservices, but you're experiencing performance issues. You suspect the issue is related to the network calls between services. What Istio feature would you use to troubleshoot this problem?
- A. Istio's 'virtual service' feature
- B. Istio's 'destination rule' feature
- C. Istio's 'fault injection' feature
- D. Istio's 'service entry' feature
- E. Istio's 'telemetry' feature, specifically tracing
Answer: E
Explanation:
Istio's telemetry feature, particularly tracing, allows you to track the flow of requests through your microservices. By examining the trace data, you can identify bottlenecks, latency issues, and other performance problems related to network calls. Option A simulates failures for testing, not troubleshooting. Option C is for service discovery. Option D and E are for traffic management.
NEW QUESTION # 176
What is a benefits of Kubernetes federation?
- A. Avoids scalability limits on pods and nodes
- B. Low latency
- C. Creates highly available clusters in different regions
Answer: A,B,C
NEW QUESTION # 177
You're using Prometheus and Grafana for monitoring your Kubernetes cluster. How can you utilize these tools to identify potential cost-saving opportunities?
- A. Create dashboards in Grafana to visualize CPU and memory utilization metrics collected by Prometheus.
- B. Use Prometheus's query language to identify pods or deployments that are frequently restarting or experiencing errors, indicating potential resource constraints.
- C. Analyze historical metrics to identify workloads with low utilization, allowing you to potentially downscale or optimize those deployments.
- D. Integrate Prometheus and Grafana with your cloud provider's billing data to gain insights into cost breakdown by resource type and service.
- E. Set up alerts in Prometheus to notify you when resource utilization consistently exceeds a certain threshold.
Answer: A,B,C,E
Explanation:
Monitoring tools like Prometheus and Grafana are essential for identifying cost-saving opportunities. Visualizing resource utilization metrics (CPU, memory) in Grafana provides an overview of resource consumption. Alerts based on resource utilization thresholds notify you of potential overprovisioning. Analyzing historical metrics helps identify underutilized workloads for downscaling or optimization. Prometheus queries can identify issues like frequent pod restarts or errors, potentially indicating resource constraints that can be addressed. While integrating billing data can provide valuable insights, it is not directly supported by Prometheus or Grafana.
NEW QUESTION # 178
Which of the following are valid ways to define resource requests for a pod? (Select all that apply)
- A. Using the 'limits' field in the container's YAML definition.
- B. Using the requests' field in the container's YAML definition.
- C. Using the resources field in the pod's YAML definition.
- D. Using the •tolerations' field in the pod's YAML definition.
- E. Using the •affinity' field in the pod's YAML definition.
Answer: A,B,C
Explanation:
Resource requests and limits are defined within the container's definition (under the resourceS field). The •requests' field specifies the minimum resources a container needs to run, while the 'limits' field defines the maximum resources the container can use. The 'affinity' and •tolerations' fields are used for controlling pod scheduling preferences and tolerating specific node conditions, but they don't directly define resource requirements.
NEW QUESTION # 179
You need to restrict the resources available to pods deployed within a specific namespace. What Kubernetes resource should you use?
- A. ResourceQuota
- B. LimitRange
- C. NetworkPolicy
- D. ServiceAccount
- E. PodSecurityPolicy
Answer: A
Explanation:
ResourceQuota is used to restrict the resources available to pods within a namespace. You can set limits on CPU, memory, storage, and other resources to prevent resource exhaustion. LimitRange is used to set minimum and maximum limits for resources that apply to all pods in a namespace, but not to restrict the total resources used. The other options are not relevant to resource restriction: PodSecurityPolicy restricts security settings, NetworkPolicy manages network traffic, and ServiceAccount provides identity and credentials for pods.
NEW QUESTION # 180
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