REST APIs with Flask and Python - Creating Your Application Endpoints

REST APIs with Flask and Python - Creating Your Application Endpoints

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial covers the creation and implementation of endpoints in a Flask application, simulating an online store. It explains the use of HTTP methods POST and GET, and how they differ from a browser's perspective. The tutorial guides through setting up routes, associating methods, and storing data using lists and dictionaries. It emphasizes understanding Flask syntax and parameters, and provides examples of creating and retrieving data through endpoints.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary role of a POST request in a server context?

To send data back to the client

To receive data from the client

To delete data from the server

To update data on the server

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which endpoint is responsible for creating a new store in the online store simulation?

GET /store

POST /store

GET /store/

POST /store//item

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the GET /store/ endpoint?

To create a new store

To delete a store

To retrieve data about a specific store

To update store information

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Flask, what is the default HTTP method for a route if not specified?

GET

DELETE

PUT

POST

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key consideration when defining method names for Flask endpoints?

They must be in uppercase

They must be unique

They must start with 'get'

They must be the same as the route

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How are stores and items stored in the memory for this Flask application?

Using a single dictionary

Using a database

Using a list of dictionaries

Using a text file

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the advantage of using a dictionary to store data in this Flask application?

It is faster than using a database

It allows for easy data retrieval using keys

It automatically syncs with a database

It requires less memory than a list