Google Cloud Fundamentals for AWS Professionals Week 5 Quiz Answers


Google Cloud Fundamentals for AWS Professionals complete course is currently being offered by Google Cloud through Coursera platform.

About this Course

Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud’s computing and storage services, along with important resource and policy management tools.

Also Check: How to Apply for Coursera Financial Aid

Google Cloud Fundamentals for AWS Professionals Week 1 Quiz Answers - Coursera!

Containers, Kubernetes, and Kubernetes Engine

Question 1) Identify two reasons for deploying applications using containers. (Choose 2 responses.)

  •  Consistency across development, testing, production environments
  •  No need to allocate resources in which to run containers
  •  Simpler to migrate workloads
  •  Tight coupling between applications and operating systems

Question 2) True or False: Kubernetes allows you to manage container clusters in multiple cloud providers. 

Question 3) True or False: Google Cloud Platform provides a secure, high-speed container image storage service for use with Kubernetes Engine.

Question 4) In Kubernetes, what does “pod” refer to?

  • A popular logging subsystem
  • A group of containers that work together
  • A popular management subsystem
  • A group of clusters that work together

Question 5) Does Google Cloud Platform offer its own tool for building containers (other than the ordinary docker command)?

  • No; all customers use the ordinary docker command.
  • Yes. Kubernetes Engine customers must use the GCP-provided tool.
  • Yes; the GCP-provided tool is an option, but customers may choose not use it.

Question 6) Where do your Kubernetes Engine workloads run?

  •  In clusters that are built into GCP, not separately manageable
  •  In clusters built from Compute Engine virtual machines
  •  In clusters implemented using Cloud Functions
  •  In clusters implemented using App Engine


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