EXAM KCNA CRAM QUESTIONS - KCNA RELIABLE CRAM MATERIALS

Exam KCNA Cram Questions - KCNA Reliable Cram Materials

Exam KCNA Cram Questions - KCNA Reliable Cram Materials

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Tags: Exam KCNA Cram Questions, KCNA Reliable Cram Materials, Exam KCNA Score, New KCNA Dumps Ppt, KCNA Test Dumps.zip

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With the Kubernetes and Cloud Native Associate KCNA exam, you will have the chance to update your knowledge while obtaining dependable evidence of your proficiency. You can benefit from a number of additional benefits after completing the Kubernetes and Cloud Native Associate KCNA Certification Exam. But keep in mind that the KCNA certification test is a worthwhile and challenging certificate.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q143-Q148):

NEW QUESTION # 143
Imagine you have a Kubernetes cluster running a large number of applications. You want to streamline the configuration of these applications and manage their dependencies consistently. Which open standard would you use to address this?

  • A. Service Mesh
  • B. Kubernetes Resource Quotas
  • C. Kubernetes Ingress
  • D. open Policy Agent (OPA)
  • E. Helm

Answer: E

Explanation:
Helm is a package manager for Kubernetes. It allows you to package your application's configuration, dependencies, and deployment logic into a Helm chart. This simplifies application deployment and management, making it easier to manage the configuration and dependencies of multiple applications consistently.


NEW QUESTION # 144
You're deploying a microservices application in a Kubernetes cluster. How can you use Jaeger for distributed tracing to troubleshoot a performance issue within the application?

  • A. Instrument your application code to emit tracing data.
  • B. Use Jaeger's IJI to visualize the tracing data and analyze request flow across different services.
  • C. Create a custom Prometheus exporter that integrates with Jaeger.
  • D. Configure a dedicated Jaeger deployment and configure your application to send tracing data to it.
  • E. Deploy Jaeger as a sidecar container within each pod.

Answer: A,B,D

Explanation:
The correct answers are B, D, and E . To effectively use Jaeger for distributed tracing, you need to perform these steps: B: Instrument your application code to emit tracing data. Jaeger integrates with application code to track requests across services. It's common to use libraries like OpenTelemetry or Jaeger's client libraries to inject tracing data into your application's code. D: Configure a dedicated Jaeger deployment and configure your application to send tracing data to it. Jaeger needs its own deployment to collect and process the tracing data. You need to set up a Jaeger instance within your Kubernetes cluster and configure your application to send its tracing data to this instance. E: Use Jaeger's Ul to visualize the tracing data and analyze request flow across different services. Once the tracing data is collected, Jaeger provides a user interface to visualize the flow of requests across your microservices, identify bottlenecks, and analyze performance issues. The Jaeger UI allows you to drill down into individual traces, view the spans within a trace, and gain insights into latency, errors, and dependencies between services.


NEW QUESTION # 145
You have deployed an application in Kubernetes with a container image that has known vulnerabilities. Which of the following security measures is MOST effective in mitigating the risk of these vulnerabilities?

  • A. Deploying the application in a private Kubernetes cluster.
  • B. Deploying the application in a separate namespace.
  • C. Running all containers with the '--privileged' flag enabled.
  • D. Using a container security scanner to identify and fix vulnerabilities.
  • E. Disabling Kubernetes RBAC and granting full access to all users.

Answer: D

Explanation:
Using a container security scanner to identify and fix vulnerabilities is the most effective measure for mitigating the risk of known vulnerabilities in your container images. These scanners analyze your images for known security issues and provide recommendations for patching or upgrading them. This helps you proactively address potential vulnerabilities and improve the overall security of your Kubernetes applications.


NEW QUESTION # 146
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 immediately scales up the application by creating new Pods.
  • B. The HPA scales up the application only if CPU utilization exceeds a predefined threshold.
  • C. The HPA scales up the application after a configurable delay to avoid over-provisioning.
  • D. The HPA scales up the application by increasing the resource requests for existing Pods.
  • E. The HPA only scales down the application when CPU utilization drops below a certain threshold.

Answer: B

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 # 147
Explain the difference between a container image and a container runtime?

  • A. Both container images and container runtimes are the same thing, just different names.
  • B. A container image is a blueprint for creating a container, while a container runtime is the software that executes the container.
  • C. A container runtime is a pre-built package of an application, while a container image is a virtual machine that runs the application.
  • D. A container runtime is a blueprint for creating a container, while a container image is the software that executes the container.
  • E. A container image is a pre-built package of an application, while a container runtime is a virtual machine that runs the application.

Answer: B

Explanation:
A container image is a blueprint for creating a container, while a container runtime is the software that executes the container. A container image contains all the necessary components, libraries, and dependencies to run an application in a container. It's a snapshot of a specific point in time. Container runtimes, such as Docker, containerd, or CRI-O, are responsible for loading the image, creating a container, and managing its lifecycle. They provide the environment and resources for the container to run.


NEW QUESTION # 148
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