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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q190-Q195):

NEW QUESTION # 190
You are migrating a monolithic application to a microservices architecture on Kubernetes. You choose to use Istio to manage the communication between these new services. Which of the following is NOT a benefit of adopting Istio in this scenario?

A. Istio provides a consistent way to handle network calls and security across all microservices
B. Istio helps in achieving better scalability and fault tolerance for microservices
C. Istio allows for easier debugging and troubleshooting of complex microservice interactions
D. Istio's control plane simplifies the deployment and management of microservices
E. Istio simplifies the process of migrating existing code to a microservices architecture

Answer: E

Explanation:
While Istio provides benefits like centralized traffic management, security, and observability for microservices, it doesn't automatically simplify the process of migrating existing monolithic code. The migration itself requires careful refactoring and architectural changes, which Istio complements but doesn't replace. Options B, C, D, and E are all valid benefits of using Istio for microservices.

NEW QUESTION # 191
Consider the following Kubernetes YAML definition:
apiVersion: vl
kind: Pod
metadata:
name: nginx-pod
spec:
containers :
- name: nginx
image: nginx: latest
ports :
- containerPort: 80
If you were to deploy this Pod definition, what port would the Nginx server be listening on inside the container?

A. 0
B. The port is not specified in the YAML.
C. 1
D. 0 22
E. 2

Answer: C

Explanation:
The •containerPort• field in the YAML defines the port that the container's Nginx server will listen on. In this case, it's explicitly set to '80'

NEW QUESTION # 192
You have a Kubernetes Deployment that defines 3 replicas of your application. During a deployment, one of the replicas fails to start. What happens to the deployment?

A. The deployment fails and rolls back to the previous version.
B. The deployment scales down to 2 replicas.
C. The deployment remains in a failed state.
D. Kubernetes automatically restarts the failed replica.
E. The deployment continues, but with only 2 healthy replicas.

Answer: D

Explanation:
Kubernetes' self-healing capabilities ensure high availability. If a pod fails, Kubernetes will automatically restart it, attempting to bring the deployment back to the desired replica count.

NEW QUESTION # 193
What tool allows us to build useful visual representations of prometheus data?

A. Grafana
B. Distributed system tracing
C. Rook
D. Kibana
E. kubectl

Answer: A

Explanation:
https://prometheus.io/

NEW QUESTION # 194
You have a Kubernetes cluster with a HorizontalPodAutoscaler (HPA) configured for your application. The HPA is set to scale the application based on CPU utilization. The application suddenly experiences a surge in traffic, causing high CPU usage. How does the HPA respond to this scenario?

A. The HPA only scales down the application when CPU utilization drops below a certain threshold.
B. The HPA immediately scales up the application by creating new Pods.
C. The HPA scales up the application by increasing the resource requests for existing Pods.
D. The HPA scales up the application after a configurable delay to avoid over-provisioning.
E. The HPA scales up the application only if CPU utilization exceeds a predefined threshold.

Answer: E

Explanation:
The HPA typically has a defined threshold (e.g., 80% CPU utilization) and a scaling policy (e.g., add one Pod if CPU exceeds the threshold). The HPA won't immediately scale up upon a traffic surge; it will wait for the CPU utilization to surpass the specified threshold before triggering the scaling action.

NEW QUESTION # 195
......

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