Why serverless functions matter in GCP - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to deploy a simple serverless function on Google Cloud Functions.

GCP

gcloud functions deploy myFunction --runtime [1] --trigger-http --allow-unauthenticated

Drag options to blanks, or click blank then click option'

Apython39

Bnodejs14

Cgo113

Druby27

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing a runtime not supported by Google Cloud Functions.

Using an outdated or incorrect runtime version.

The correct runtime for deploying a Python 3.9 serverless function on Google Cloud Functions is python39.

2fill in blank

medium

Complete the code to specify the entry point function name for your serverless function.

GCP

gcloud functions deploy myFunction --runtime python39 --entry-point [1] --trigger-http --allow-unauthenticated

Drag options to blanks, or click blank then click option'

Ahandler

Bmain

Cfunction

Dstart

Attempts:

3 left

💡 Hint

Common Mistakes

Using a function name that does not exist in the code.

Leaving out the entry point parameter.

The entry point is the name of the function in your code that Cloud Functions will execute. handler is commonly used as the function name.

3fill in blank

hard

Fix the error in the function code to correctly handle an HTTP request in Python.

GCP

from flask import Response
def handler(request):
    return [1]('Hello, world!')

Drag options to blanks, or click blank then click option'

Astr

Bprint

CResponse

Dreturn

Attempts:

3 left

💡 Hint

Common Mistakes

Returning a plain string instead of an HTTP response.

Using print instead of return.

Google Cloud Functions expects an HTTP response object. Using flask.Response correctly returns an HTTP response.

4fill in blank

hard

Fill both blanks to configure environment variables and memory allocation for the serverless function.

GCP

gcloud functions deploy myFunction --runtime python39 --trigger-http --set-env-vars [1]=prod --memory [2]

Drag options to blanks, or click blank then click option'

AENVIRONMENT

BREGION

C256MB

D512MB

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect environment variable names.

Omitting memory units or using invalid values.

Setting ENVIRONMENT=prod defines the environment variable. Allocating 256MB memory is a common minimal memory setting for serverless functions.

5fill in blank

hard

Fill all three blanks to create a serverless function that logs a message and returns a JSON response.

GCP

import json
import logging

def handler(request):
    logging.[1]('Function called')
    response = {'message': 'Success'}
    return json.[2](response), [3]

Drag options to blanks, or click blank then click option'

Ainfo

Bdumps

C200

Derror

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong logging levels like error instead of info.

Returning a Python dict instead of a JSON string.

Omitting the HTTP status code.

logging.info logs an informational message. json.dumps converts the dictionary to a JSON string. 200 is the HTTP status code for success.