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Quiz Linux Foundation - KCNA - Valid Popular Kubernetes and Cloud Native Associate Exams
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The KCNA certification exam is a valuable credential for professionals who work with Kubernetes and cloud-native technologies. It is recognized by industry leaders and can help individuals advance their careers in the rapidly growing field of cloud-native computing. Passing KCNA Exam not only demonstrates one's proficiency in Kubernetes and cloud-native technologies, but also proves one's commitment to continuous learning and professional development.
KCNA Latest Test Question & KCNA Latest Braindumps Sheet
The Linux Foundation sector is an ever-evolving and rapidly growing industry that is crucial in shaping our lives today. With the growing demand for skilled Linux Foundation professionals, obtaining Kubernetes and Cloud Native Associate (KCNA) certification exam has become increasingly important for those who are looking to advance their careers and stay competitive in the job market.
Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q147-Q152):
NEW QUESTION # 147
Which of the following container runtime is planned to be deprecated in Kubernetes 1.20 and high-er?
- A. docker
- B. None of the options
- C. containerd
- D. podman
- E. cri-o
Answer: A
Explanation:
https://kubernetes.io/blog/2020/12/02/dont-panic-kubernetes-and-docker/
NEW QUESTION # 148
Explain the difference between a Docker image and a Docker container. Provide practical scenarios where they are used.
- A. A Docker image is a blueprint for creating a container, while a container is a running instance of that image.
- B. A Docker container is a blueprint for creating an image, while an image is a running instance of that container.
- C. Docker images are used for storing data, while containers are used for running applications.
- D. Docker images are used for running applications, while containers are used for storing data.
- E. Docker images and containers are the same thing, just different names.
Answer: A
Explanation:
A Docker image is a static, immutable template that contains all the necessary components (files, libraries, dependencies, etc.) to run a specific application. Think of it as a blueprint. A Docker container is a running instance of that image, meaning it's an actual process running on your system. You can create multiple containers from the same image. Practical Scenarios: Image: You create a Docker image for a web server application, including the web server software, configuration files, and application code. This image can be shared with others or deployed to different environments. Container: You run multiple instances of this web server image as containers on your server. Each container gets its own isolated environment, allowing you to scale your web application easily.
NEW QUESTION # 149
Which of the following is NOT a key characteristic of a serverless architecture?
- A. Pre-provisioned and managed servers-
- B. Automatic scaling based on workload demand
- C. Focus on business logic rather than infrastructure management
- D. Pay-per-use pricing model.
- E. Event-driven execution model.
Answer: A
Explanation:
Serverless architectures are designed to abstract away the need for managing servers. They rely on cloud providers to handle provisioning, scaling, and infrastructure maintenance. Option C, Pre-provisioned and managed servers, contradicts the core principle of serverless computing, which is to avoid managing server infrastructure.
NEW QUESTION # 150
How to get the logs of the previously terminated nginx container from the web pod?
- A. kubectl logs -f -c nginx web
- B. kubectl logs -p -c web nginx
- C. kubectl logs nginx
- D. kubectl logs -p -c nginx web
Answer: D
Explanation:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#logs
NEW QUESTION # 151
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?
- A. Google Kubernetes Engine (GKE)
- B. Google Cloud SQL
- C. Google Cloud Functions
- D. Google App Engine
- E. Google Cloud Storage
Answer: C
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 # 152
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