KCNA - Kubernetes and Cloud Native Associate Newest Practice Test

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The Linux Foundation KCNA exam is designed to test the candidate's knowledge and understanding of Kubernetes and cloud-native technologies. It covers a range of topics such as deploying, managing, and scaling applications in Kubernetes, understanding Kubernetes architecture and components, and configuring Kubernetes networking and security. KCNA Exam also tests the candidate's knowledge of containerization technologies such as Docker and container orchestration tools like Helm.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q15-Q20):

NEW QUESTION # 15
Which of the following is NOT a benefit of using a community-driven approach for governing a cloud native application?

A. Faster innovation and adoption of new technologies
B. Increased collaboration and knowledge sharing
C. Reduced development costs due to shared resources
D. Stronger security due to centralized control
E. Improved maintainability and support

Answer: D

Explanation:
While a community-driven approach promotes collaboration and knowledge sharing, it doesn't necessarily lead to stronger security due to centralized control. In fact, it could potentially introduce vulnerabilities if proper security practices are not followed within the community.

NEW QUESTION # 16
You are using Prometheus to monitor a microservices-based application. You want to create an alert that triggers when the average response time of a specific service exceeds 500 milliseconds for the last 5 minutes. What Prometheus query can achieve this?

Answer: E

Explanation:
The query •avg_over_time(http_request_duration_seconds{service=""}[5m]) > 0.5* calculates the average response time over the last 5 minutes for the specified service. If this average exceeds 0.5 seconds (500 milliseconds), the alert will trigger. The other options are not suitable for this specific scenario.

NEW QUESTION # 17
Your Kubernetes cluster has limited resources, and you need to ensure that the pods for your application are effectively scheduled and managed. Which of the following approaches would contribute to resource optimization?

A. Deploying all pods on a single node for centralized management
B. Using DaemonSets to ensure that a pod runs on every node in the cluster
C. Scheduling all pods with the highest priority to guarantee their resources
D. Disabling resource quotas to allow pods to utilize all available resources
E. Setting resource requests and limits for pods based on their actual resource consumption

Answer: E

Explanation:
Setting resource requests and limits for pods is crucial for resource optimization. By defining these values, you provide Kubernetes with guidance on how much resources each pod needs and helps prevent resource starvation for other applications. Requests are the minimum resources a pod needs, while limits prevent a pod from consuming more than its assigned quota.

NEW QUESTION # 18
You are using Istio to manage traffic flow in a microservices architecture. Your application consists of three services: 'service-A', 'service-B', and 'service-C', where 'service-A' depends on 'service-B' and 'service-B' depends on 'service-C'. You want to implement a canary rollout for 'service-B' to test a new version before rolling it out to all users. How would you configure Istio to achieve this?

A. Use the 'istio.io/canary' annotation on 'service-B' and configure the rollout percentage
B. Deploy the new version of 'service-B' with a different Kubernetes namespace and use Istio to route traffic to the new namespace
C. Use the 'istio.io/route' annotation on 'service-B' to specify a weighted distribution of traffic to different versions
D. Configure 'service-A' to automatically retry requests if they fail to 'service-B' and route to the new version
E. Create a new Istio VirtualService for 'service-B' and route a percentage of traffic to the new version

Answer: E

Explanation:
Istio's VirtualService allows you to define routing rules that can direct a percentage of traffic to a specific version of a service- This enables you to perform canary rollouts by gradually introducing the new version of 'service-B' to a subset of users- Option A is not a valid Istio configuration option- Option C creates unnecessary complexity Option D is related to retries, not canary rollouts. Option E is closer but doesn't specify the percentage split.

NEW QUESTION # 19
You are implementing a continuous integration and continuous deployment (CI/CD) pipeline for a cloud native application running in Kubernetes. Which of the following tools can be used for building, testing, and deploying the application to the cluster?

A. Jenkins
B. GitHub Actions
C. GitLab CI/CD
D. Travis Cl
E. CircleCl

Answer: A,B,C,D,E

Explanation:
All of the listed tools are widely used for CI/CD pipelines and can be integrated with Kubernetes. Each tool has its own strengths and weaknesses depending on your specific needs. Here's a brief overview: Jenkins: Open-source, highly customizable, and supports a wide range of plugins. CircleCl: Cloud-based, user-friendly, and well-suited for smaller teams and projects. Travis Cl: Also cloud-based, popular for open-source projects and known for its simple setup. GitHub Actions: Native to GitHub, allows you to build, test, and deploy directly within your repository. GitLab CI/CD: Integrated with GitLab, provides a complete CI/CD solution with features for building, testing, and deploying applications.

NEW QUESTION # 20
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