Developing and Monitoring in the Cloud Coursera Quiz Answers Week 7

Developing and Monitoring in the Cloud Coursera Quiz Answers Week 7 – Here you will find all the questions and quiz answers related to Developing and Monitoring in the Cloud Coursera Quiz Answers.

Developing and Monitoring in the Cloud Coursera Quiz Answers Week 7

Development in the cloud

Q1. Why would a developer choose to store source code in Cloud Source Repositories? Choose all the answers that are correct (2 correct answers).

  • To reduce work
  • To have total control over the hosting infrastructure
  • To keep code private to a GCP project
Cloud Functions

Q1. What is the advantage of putting event-driven components of your application into Cloud Functions?

  • Cloud Functions means that processing always happens free of charge.
  • Cloud Functions handles scaling these components seamlessly.
Developing, Deploying, and Monitoring in the Cloud

Q1. Why might a GCP customer choose to use Cloud Source Repositories?

  • They want to host and manage their own git instance, and they want to integrate with IAM permissions.
  • They want to host and manage their own git instance, and they don’t want to integrate with IAM permissions.
  • They don’t want to host their own git instance, and they want to integrate with IAM permissions.
  • They don’t want to host their own git instance, and they don’t want to integrate with IAM permissions.

Q2. Why might a GCP customer choose to use Cloud Functions?

  • Their application has a legacy monolithic structure that they want to break apart into microservices with little developer effort.
  • Their application contains event-driven code that they don’t want to have to provision compute resources for.
  • Cloud Functions is the primary way to run Node.js applications in GCP.
  • Cloud Functions is a free service for hosting compute operations.

Q3. Why might a GCP customer choose to use Deployment Manager?

  • Deployment Manager is an infrastructure management system for Kubernetes pods.
  • Deployment Manager is an infrastructure management system for GCP resources.
  • Deployment Manager is a version control system for your GCP infrastructure layout.
  • Deployment Manager enforces maximum resource utilization and spending limits on your GCP resources.

Q4. You want to define alerts on your GCP resources, such as when health checks fail. Which is the best GCP product to use?

  • Stackdriver Trace
  • Stackdriver Monitoring
  • Stackdriver Debugger
  • Deployment Manager
  • Cloud Functions

Q5. Which statements are true about Stackdriver Logging? Choose all that are true (2 statements)

  • Stackdriver Logging requires that you store your logs in BigQuery or Cloud Storage.
  • Stackdriver Logging lets you view logs from your applications, and filter and search on them.
  • Stackdriver Logging requires the use of a third-party monitoring agent.
  • Stackdriver Logging lets you define metrics based on your logs.
  • Stackdriver Logging lets you define uptime checks.

All Google Cloud Fundamentals: Core Infrastructure Quiz Answers

Week 1 – Google Cloud Fundamentals: Core Infrastructure

Week 2 – Getting Started with Google Cloud Platform

Week 3 – Google Compute Engine and Networking

Week 4 – Storage In The Cloud

Week 5 – Containers in the Cloud 

Week 6 – Applications in the Cloud

Week 7 – Developing and Monitoring in the Cloud

Week 8 – Big Data and Machine Learning

Week 9 – Summary and Review

About Google Cloud Fundamentals: Core Infrastructure

Google Cloud Fundamentals: Core Infrastructure 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.

Enroll in this Course

What You Will Learn In Google Cloud Fundamentals: Core Infrastructure

  • Identify the purpose and value of Google Cloud products and services.
  • Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
  • Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
  • Interact with Google Cloud services.

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