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  1. Home
  2. Linux Foundation Certification
  3. KCNA Exam
  4. LinuxFoundation.KCNA.v2025-07-29.q103 Dumps
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Question 46

You are deploying a microservices application in Kubernetes. Each microservice has its own deployment and service. How can you enforce network policy rules to restrict communication between these microservices, allowing only authorized communication?

Correct Answer: D
The most effective way to enforce network policy rules for microservices in Kubernetes is to use network policies. Network policies allow you to define specific rules for communication between pods or groups of pods. By creating network policies, you can specify which pods are allowed to communicate with each other, based on their labels, namespaces, or other criteria. This allows you to restrict communication between microservices, ensuring that only authorized communication is allowed. While namespaces can help to isolate microservices logically, they do not provide granular network control. Configuring ports and services can restrict access to specific services, but it does not provide the level of control needed to enforce communication rules between microservices.
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Question 47

Which of the following is used to request storage in Kubernetes?

Correct Answer: B
https://kubernetes.io/docs/concepts/storage/persistent-volumes/
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Question 48

You have a microservice that relies on a separate authentication service. You want to implement fine-grained authorization using Istio based on request attributes like user roles or specific headers. What Istio feature would you use?

Correct Answer: B
Istio's AuthonzationPolicy feature allows you to define granular authorization rules based on request attributes, including headers, user identities, and other context. This enables you to control access to microservices based on specific conditions. Option A is for authentication, not authorization. Option C is for traffic management. Option D is for telemetry. Option E is for service discovery and configuration.
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Question 49

You're building a new cloud-native application using gRPC for communication between microservices. You want to use Jaeger for distributed tracing to track the flow of requests through your microservices. What should you do to integrate Jaeger with your gRPC application?

Correct Answer: B,D
The correct answers are B and D . Jaeger provides built-in support for tracing gRPC applications, and Istio can also be used to automatically inject tracing into gRPC calls. B: Use Jaeger's built-in support for gRPC tracing, which automatically intercepts gRPC calls and sends data to Jaeger. Jaeger offers libraries and integration points for popular frameworks like gRPC. Using Jaeger's gRPC tracing capabilities, you can automatically instrument your gRPC applications and capture tracing data without needing to manually modify your code extensively. D: Configure Istio to automatically inject tracing into gRPC calls and send the data to Jaeger. Istio, a service mesh, offers automatic tracing capabilities for gRPC applications. By configuring Istio, you can enable tracing for gRPC calls and send tracing data to Jae er streamlinin the tracin rocess and reducin code modifications within our services. The other options are incorrect or less efficient: A: Configure a custom gRPC interceptor to intercept gRPC calls and emit tracing data to Jaeger. While you can create a custom interceptor, Jaeger's built-in support and Istio's automatic tracing mechanisms are more convenient and often preferred for gRPC tracing. C: Modify your gRPC client and server code to explicitly log trace information using Jaeger's logging libraries. Manual code modifications are less efficient compared to using Jaeger's built-in support or Istio's automatic tracing. E: Use a dedicated tracing proxy that sits between your gRPC services and intercepts traffic to send tracing data to Jaeger. While a tracing proxy could work, it adds an extra layer of complexity and potential performance overhead compared to built-in support or Istio's integration.
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Question 50

Which kubernetes object do deployments use behind the scenes when they need to scale pods?

Correct Answer: B
https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/
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