New Feature Deployment Workflow

New Feature Deployment Workflow

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial guides viewers through the process of adding new features to an existing application, focusing on updating the about page and forecast data. It covers local testing, committing changes, and deploying updates to GitHub and Heroku. A challenge is presented to viewers to modify the forecast data, with a solution provided later. The tutorial emphasizes the importance of testing changes locally before deploying them to production.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to test code changes locally before deploying them?

To ensure the code works as expected and avoid issues in production.

To save time by skipping the testing phase.

To make the development process more complex.

To directly update the live application without any checks.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step after modifying the about page?

Deploying the changes to Heroku.

Testing the changes locally.

Pushing the changes to GitHub.

Creating a new branch.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you do after testing your changes locally?

Delete the local changes.

Push the changes to GitHub and Heroku.

Revert to the previous version.

Ignore the changes.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of the challenge in the video?

To add new data to the forecast.

To remove existing data from the forecast.

To change the layout of the about page.

To update the API keys.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which data is suggested to be added to the forecast string?

Precipitation probability.

Temperature high and low.

Sunrise and sunset times.

Wind speed and direction.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using console.log in the walkthrough?

To deploy the application.

To update the API keys.

To view available properties in the data object.

To delete unnecessary data.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should be done after modifying the forecast string?

Revert the changes.

Ignore the changes.

Test the changes locally.

Directly deploy to production.

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