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The Kubernetes and Cloud Native Associate (KCNA) practice test is being offered in three different formats. These Linux Foundation KCNA exam questions formats are PDF dumps files, web-based practice test software, and desktop practice test software. All these Linux Foundation KCNA Exam Dumps formats contain real, updated, and error-free Kubernetes and Cloud Native Associate (KCNA) exam questions that prepare you for the final KCNA exam.
Linux Foundation KCNA Certification Exam is an ideal choice for professionals looking to enhance their skills and advance their careers in the field of cloud-native computing. It is a comprehensive and rigorous exam that tests the candidate's knowledge and competency in Kubernetes and cloud-native computing. Kubernetes and Cloud Native Associate certification is recognized globally and provides access to a community of professionals who are passionate about cloud-native computing and Kubernetes.
Linux Foundation Kubernetes and Cloud Native Associate (KCNA) Certification Exam is a highly regarded certification that demonstrates an individual's understanding of Kubernetes and cloud-native technologies. The KCNA Certification Exam is designed to test a candidate's knowledge of Kubernetes architecture, deployment, and maintenance, as well as the fundamental concepts of cloud-native computing. Kubernetes and Cloud Native Associate certification is valuable for individuals who want to validate their skills in Kubernetes and cloud-native technologies, such as cloud engineers, DevOps engineers, software developers, and system administrators.
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The KCNA certification exam is an online, proctored exam that can be taken from anywhere in the world. It is a timed exam that lasts for 2 hours, and individuals must score at least 66% to pass. KCNA Exam consists of 50 multiple-choice questions that are designed to test an individual's understanding of Kubernetes and cloud-native technologies.
NEW QUESTION # 196
Your organization is migrating a monolithic application to a serverless architecture on Google Cloud Platform. Which Google Cloud service would be the most suitable for running your application's backend logic?
Answer: B
Explanation:
Google Cloud Functions is the ideal choice for running backend logic in a serverless environment on Google Cloud. It offers a fully managed serverless execution environment for event-driven code. App Engine (A) is more suited for web applications. GKE (B) is a container orchestration service. Cloud Storage (D) is for data storage, and Cloud SQL (E) is for relational databases.
NEW QUESTION # 197
To run a startup task before a Pod's container starts up. What Kubernetes feature can help you ac-complish this?
Answer: C
Explanation:
https://kubernetes.io/docs/concepts/workloads/pods/init-containers/
NEW QUESTION # 198
You are running a production-critical application on Kubernetes. You need to ensure that if a pod fails, a new pod is automatically created to replace it. Which Kubernetes feature accomplishes this automatic pod replacement?
Answer: D
Explanation:
Deployments are Kubernetes resources designed to manage the lifecycle of pods. They provide features like rolling updates, automatic restarts, and self-healing. When a pod fails, the Deployment controller detects the failure and automatically creates a new pod to replace it, ensuring high availability.
NEW QUESTION # 199
Which project is not a dominant CNCF project in the storage landscape?
Answer: A
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 200
You are monitoring a Kubernetes cluster using Prometheus. You notice a sudden spike in the number of requests to a specific pod, followed by a corresponding increase in pod CPU utilization. Which Prometheus query can you use to identify the specific endpoint being heavily accessed?
Answer: D
Explanation:
The correct answer is E . The query 'kube_http_server_requests_seconds_bucket{job="", method="GET", uri="/specific_endpoint"}" targets HTTP requests made to a specific endpoint within a pod (identified by the •job', •method', and 'uri' labels). This query allows you to see the number of requests made to the '/specific_endpoint• and identify spikes in traffic to that endpoint. The other options are not relevant to identifying specific endpoints being heavily accessed. Option A shows CPU resource requests for a pod, option B shows the pod's phase, option C shows the number of replicas in a deployment, and option D shows the restart count for a pod's containers. These queries do not provide information about specific endpoints and traffic patterns.
NEW QUESTION # 201
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