Deploying container images in GCP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify the container image URL in the deployment command.

GCP

gcloud run deploy my-service --image=[1] --region us-central1

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

Agcloud container images list

Bmy-image

Cdocker run my-image

Dgcr.io/my-project/my-image:latest

Attempts:

3 left

💡 Hint

Common Mistakes

Using only the image name without the registry URL.

Including docker commands instead of image URL.

Listing images instead of specifying one.

The --image flag requires the full container image URL including the registry, project, image name, and tag.

2fill in blank

medium

Complete the command to build a container image using Cloud Build.

GCP

gcloud builds submit --tag [1] .

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

Agcr.io/my-project/my-image:latest

Bmy-image

Cdocker build

Dgcloud run deploy

Attempts:

3 left

💡 Hint

Common Mistakes

Using only the image name without registry.

Using unrelated commands like docker build or gcloud run deploy.

The --tag flag needs the full image URL with registry and tag to push the built image correctly.

3fill in blank

hard

Fix the error in the deployment command by completing the missing flag.

GCP

gcloud run deploy my-service [1] gcr.io/my-project/my-image:latest --region us-central1

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

A--image

B--service-account

C--platform

D--project

Attempts:

3 left

💡 Hint

Common Mistakes

Using --project instead of --image.

Omitting the flag entirely.

Using unrelated flags like --platform or --service-account.

The deployment command requires the --image flag to specify which container image to deploy.

4fill in blank

hard

Fill both blanks to create a Dockerfile that sets the base image and exposes port 8080.

GCP

FROM [1]
EXPOSE [2]

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

Apython:3.12-slim

B80

C8080

Dnode:18-alpine

Attempts:

3 left

💡 Hint

Common Mistakes

Exposing port 80 instead of 8080.

Using a Node.js base image for a Python app.

Omitting the EXPOSE instruction.

The FROM line sets the base image, here a lightweight Python image. The EXPOSE line tells Docker which port the container listens on, commonly 8080 for web apps.

5fill in blank

hard

Fill all three blanks to define a Cloud Run service deployment with memory limit, concurrency, and environment variable.

GCP

gcloud run deploy my-service --image gcr.io/my-project/my-image:latest --memory=[1] --concurrency=[2] --set-env-vars=[3]

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

A512Mi

B80

CENV=production

D1Gi

Attempts:

3 left

💡 Hint

Common Mistakes

Using memory units incorrectly.

Setting concurrency too high or too low without reason.

Incorrect format for environment variables.

The --memory flag sets the container memory limit, --concurrency controls how many requests a container handles at once, and --set-env-vars sets environment variables for the service.