Data Science Model Deployments and Cloud Computing on GCP - Introduction to Cloud Build

Data Science Model Deployments and Cloud Computing on GCP - Introduction to Cloud Build

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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FREE Resource

The video tutorial introduces Cloud Build, a service on Google Cloud Platform (GCP) used for automating application build and deployment processes. It explains Cloud Build as a fully managed continuous deployment (CD) platform that supports various cloud services like Cloud Run and App Engine. The tutorial covers how to use Cloud Build by creating a YAML file to define build steps, such as building Docker images and deploying them. It also discusses setting up continuous deployment with Cloud Build by creating Git repositories and build triggers, allowing automatic deployment upon code changes.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of Cloud Build in application deployment?

To manage cloud storage

To automate build and deployment processes

To provide analytics for applications

To monitor application performance

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which file format is used to define the build steps in Cloud Build?

CSV

JSON

XML

YAML

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in the Cloud Build process as mentioned in the video?

Testing the application

Deploying the application

Building the Docker image

Creating a Git repository

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What triggers a new build in Cloud Build when using continuous deployment?

A new user login

A change in the cloud service

A scheduled time

A change in the source code on a specific branch

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of creating build triggers on GCP?

To monitor application performance

To automatically trigger builds upon code changes

To store application logs

To manually start the build process