Quiz Introduction to Google Cloud Question 4

One of the main characteristics of cloud computing is that resources are elastic. What does that mean?

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Getting Started with Google Kubernetes Engine

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Getting Started with Google Kubernetes Engine

SkillTag.level.intermediateSkillTag.label

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The course introduction explains the course goals and previews each section.

Exercise 1: Welcome and getting started guide Exercise 2: Course introduction

The first section of this course introduces cloud computing concepts. Learners explore fundamental terminology, the Google Cloud network, how Google Cloud resources are organized in an hierarchy for management, and the tools available to connect to Google Cloud for allocating, changing, and releasing resources.

Exercise 1: Introduction Exercise 2: Cloud computing and Google Cloud Exercise 3: Google Cloud compute offerings Exercise 4: The Google network Exercise 5: Resource management Exercise 6: Billing Exercise 7: Interacting with Google Cloud Exercise 8: Lab Introduction: Accessing the Cloud console and Cloud Shell Exercise 9: Accessing the Google Cloud console and Cloud Shell Exercise 10: Quiz Introduction to Google Cloud Question 1 Exercise 11: Quiz Introduction to Google Cloud Question 2 Exercise 12: Quiz Introduction to Google Cloud Question 3 Exercise 13: Quiz Introduction to Google Cloud Question 4

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The second section of this course examines software containers and the benefit they bring to application deployment. Learners explore containers and container images, Cloud Build, Kubernetes, and Google Kubernetes Engine.

Exercise 1: Introduction Exercise 2: Containers Exercise 3: Container images Exercise 4: Lab introduction: Working with Cloud Build Exercise 5: Working with Cloud Build Exercise 6: Kubernetes Exercise 7: Google Kubernetes Engine Exercise 8: Quiz Containers and Kubernetes Question 1 Exercise 9: Quiz Containers and Kubernetes Question 2 Exercise 10: Quiz Containers and Kubernetes Question 3

The third section of this course explores the components of a Kubernetes cluster and how they work together. Learners deploy a Kubernetes cluster by using Google Kubernetes Engine, deploy Pods to a GKE cluster, and view and manage different Kubernetes objects.

Exercise 1: Introduction Exercise 2: Kubernetes concepts Exercise 3: Kubernetes components Exercise 4: GKE Autopilot and GKE standard Exercise 5: Object management Exercise 6: Lab introduction: Deploying GKE Autopilot Clusters Exercise 7: Deploying GKE Autopilot Clusters Exercise 8: Quiz Kubernetes Architecture Question 1 Exercise 9: Quiz Kubernetes Architecture Question 2 Exercise 10: Quiz Kubernetes Architecture Question 3

The final section of this course introduces the kubectl command, which is the command line utility used to interact with and manage the resources inside Kubernetes clusters. Learners are introduced to the concept of introspection, then get practice deploying Google Kubernetes Engine clusters from Cloud Shell.

Exercise 1: Introduction Exercise 2: The kubectl command Exercise 3: Introspection Exercise 4: Lab introduction: Deploying GKE Autopilot Clusters from Cloud Shell Exercise 5: Deploying GKE Autopilot Clusters from Cloud Shell Exercise 6: Quiz Kubernetes Operations Question 1 Exercise 7: Quiz Kubernetes Operations Question 2 Exercise 8: Quiz Kubernetes Operations Question 3 Exercise 9: Quiz Kubernetes Operations Question 4

The course summary recaps the major concepts learners were introduced to during the course.

Exercise 1: Course summary

PDF links to all modules

Exercise 1: Course Resources