Introducing Google Cloud Platform Coursera Quiz Answers | Week 1

About Google Cloud Platform Fundamentals: Core Infrastructure Course

This Google Cloud Platform Fundamentals: Core Infrastructure course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP).

You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

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Google Cloud Platform Fundamentals: Core Infrastructure – Quiz Answers

Introducing Google Cloud Platform: Cloud Computing Services

Q1. Does a cloud computing service let you scale your resource use up and down?

  • Yes
  • No

Q2. To get resources from a cloud computing provider, is working with a person at the provider required?

  • Yes
  • No

GCP Regions and Zones

Q1. Why might a GCP customer use resources in several zones within a region?

  • For improved fault tolerance
  • For better performance

Q2. Why might a GCP customer use resources in several regions around the world?

  • To bring their applications closer to users around the world, and for improved fault tolerance
  • To improve security

Introducing Google Cloud Platform

Q1. Choose fundamental characteristics of cloud computing. Mark all that are correct (4 correct responses).

  • Providers always dedicate physical resources to each customer
  • Customers are required to commit to multi-year contracts
  • All resources are open-source-based
  • Customers pay only for what they use or reserve
  • Computing resources available on-demand and self-service
  • Resources are available from anywhere over the network
  • Customers can scale their resource use up and down

Q2. Choose a fundamental characteristic of devices in a virtualized data center.

  • They are more secure.
  • They are available from anywhere on the Internet.
  • They are manageable separately from the underlying hardware.
  • They use less resources than devices in a physical data center.

Q3. What type of cloud computing service lets you bind your application code to libraries that give access to the infrastructure your application needs?

  • Platform as a Service
  • Infrastructure as a Service
  • Software as a Service
  • Hybrid cloud
  • Virtualized data centers

Q4. What type of cloud computing service provides raw compute, storage, and network, organized in ways that are familiar from physical data centers?

  • Software as a Service
  • Database as a Service
  • Platform as a Service
  • Infrastructure as a Service

Q5. Which statement is true about the zones within a region?

  • The zones within a region are never closer to each other than 160 km.
  • Each zone corresponds to a single physical data center.
  • Customers must choose exactly one zone in each region in which to run their resources.
  • The zones within a region have fast network connectivity among them.

Q6. What kind of customer benefits most from billing by the second for cloud resources such as virtual machines?

  • Customers who create and run many virtual machines
  • Customers who create many virtual machines and leave them running for months
  • Customers who create too few virtual machines to get discounts
  • Customers who create virtual machines running commercially licensed operating systems

Next Quiz Module Answers >>

Week 02: Getting Started with Google Cloud Platform

All Weeks Google Cloud Platform Fundamentals: Core Infrastructure Quiz Answers

Week 01: Introducing Google Cloud Platform

Week 02: Getting Started with Google Cloud Platform

Week 03: Virtual Machines in the Cloud

Week 04: Storage in the Cloud

Week 05: Containers in the Cloud

Week 06: Applications in the Cloud

Week 07: Developing and Monitoring in the Cloud

Week 08: Big Data and Machine Learning

Week 09: Summary and Review

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