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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q87-Q92):

NEW QUESTION # 87
What cloud-native construct does a kubernetes pod wrap?

A. Virtual Machine (VM)
B. Docker image
C. side car process
D. Container

Answer: D

Explanation:
Kubernetes is an orchestrator of containerized apps. However, containers must be wrapped in pods before they can be deployed on kubernetes.

NEW QUESTION # 88
You have a Kubernetes cluster with multiple namespaces. You are running different applications in separate namespaces and want to ensure that HPAs in each namespace are not interfering with each other. Which of the following measures should you take?

A. Configure resource quotas for each namespace to prevent resource over-allocation by HPAs.
B. Use a single HPA for all applications in all namespaces.
C. Create a custom controller to manage HPAs across multiple namespaces and coordinate scaling decisions.
D. There is no need for any specific measures as HPAs are isolated by default within their respective namespaces.
E. Ensure that the •minReplicas• and •maxReplicaS values for HPAs across namespaces are aligned.

Answer: A,C

Explanation:
You need to ensure that HPAs are not competing for resources across namespaces- Resource quotas (C) limit resource consumption within each namespace, preventing HPAs from consuming resources intended for other applications. A custom controller (D) can be used to manage HPAs across multiple namespaces, coordinating scaling decisions to avoid resource contention and optimize utilization across the cluster. While options A and B might seem relevant, they are not effective solutions for preventing interference between HPAs in different namespaces. Option E is incorrect; HPAs operate within their namespaces, but resource contention can occur if not managed properly.

NEW QUESTION # 89
Consider a pod with a "readinessProbe" that checks for a specific file existence. Explain what happens if the probe fails repeatedly, and how it affects the pod's lifecycle.

A. The pod will be marked as "unhealthy", but will continue to run.
B. The pod will be terminated and removed from the cluster.
C. The pod will be automatically scaled down.
D. The pod will be automatically restarted.
E. The pod will be rescheduled to a different node in the cluster.

Answer: A

Explanation:
If the "readinessProbe" fails repeatedly, the pod will be marked as "unhealthy", but it will continue to run. The "readinessProbe" is responsible for ensuring that the pod is ready to receive traffic. If the probe fails, it indicates that the pod is not yet ready, and Kubernetes will not direct traffic to it. The pod will not be restarted, terminated, rescheduled, or scaled down. It will remain in an unhealthy state, and traffic will only be directed to it once the probe starts succeeding. This allows the pod to continue running while it resolves the issue causing the probe failures.

NEW QUESTION # 90
Consider the following Istio configuration snippet:

What does this configuration achieve?

A. It enables Istio's 'fault injection' feature to simulate failures and test the service's resilience.
B. It defines a virtual service named 'productcatalog' in the 'default' namespace and forwards all traffic to the 'productcatalog.example-com' service-
C. It exposes the 'productcatalog' service on port 80 using the 'istio-system/gateway' gateway and routes traffic to both 'productcatalog.example-com' and 'productcatalog-v2.example.com' with a 50/50 weight distributiom
D. It configures a virtual service that only routes traffic to the 'productcatalog-v2.example.com' service for requests that match the '/products' path
E. It creates a virtual service that routes all requests to the 'productcatalog.example-com' service only if they match the URI prefix '/products'

Answer: C

Explanation:
This Istio VirtualService configuration exposes the 'productcatalog' service on port 80 using the 'istio- system/gateway' gateway It routes traffic to both 'productcatalog.example.com' and 'productcatalog-v2.example.com' with a 50/50 weight distribution for requests matching the 'Iproducts' prefix. This configuration demonstrates Istio's ability to implement dynamic traffic routing and load balancing between services.

NEW QUESTION # 91
You are running a critical application that requires high availability and resilience. Which of the following Kubernetes storage solutions would best ensure data consistency and redundancy in case of pod failures?

A. Ephemeral Storage
B. Distributed File Systems (e.g., GlusterFS, Ceph)
C. Local Persistent Volumes
D. Standard Persistent Disks
E. HostPath Volumes

Answer: B

Explanation:
Distributed File Systems (e.g., GlusterFS, Ceph) provide high availability and data redundancy by replicating data across multiple nodes. This ensures data consistency and availability even if a pod or node fails. Local Persistent Volumes, Ephemeral Storage, and HostPath Volumes do not provide this level of data redundancy. Standard Persistent Disks offer persistence but not necessarily high availability and redundancy.

NEW QUESTION # 92
......

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