Cold start behavior in GCP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to deploy a Cloud Function with minimum instances to reduce cold starts.

GCP

gcloud functions deploy my-function --runtime python39 --trigger-http --min-instances=[1]

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

A0

B5

C10

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Setting min-instances to 0 causes cold starts.

Using too many instances increases cost unnecessarily.

Setting --min-instances=1 keeps one instance warm, reducing cold start delays.

2fill in blank

medium

Complete the code to set the maximum instances to limit scaling and control cold start frequency.

GCP

gcloud functions deploy my-function --runtime python39 --trigger-http --max-instances=[1]

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

A1000

B10

C100

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Setting max-instances to 0 disables function.

Setting max-instances too high can increase cold starts.

Setting --max-instances=10 limits scaling to 10 instances, controlling cold start frequency.

3fill in blank

hard

Fix the error in the Cloud Run service configuration to reduce cold start latency by setting minimum instances.

GCP

gcloud run deploy my-service --image gcr.io/my-project/my-image --min-instances=[1]

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

A1

B0

C-1

D100

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 or negative values for min-instances.

Setting min-instances too high increases cost.

Minimum instances must be 1 or more to keep instances warm and reduce cold starts.

4fill in blank

hard

Fill both blanks to configure Cloud Run service with CPU always allocated and minimum instances to reduce cold starts.

GCP

gcloud run deploy my-service --image gcr.io/my-project/my-image --execution-environment=[1] --min-instances=[2]

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

Agen1

B1

C0

Dgen2

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'gen2' causes cold starts.

Setting min-instances to 0 does not keep instances warm.

Setting --execution-environment=gen1 keeps CPU allocated continuously, and --min-instances=1 keeps one instance warm to reduce cold starts.

5fill in blank

hard

Fill all three blanks to configure Cloud Function with memory, timeout, and minimum instances to optimize cold start behavior.

GCP

gcloud functions deploy my-function --runtime python39 --memory=[1] --timeout=[2] --min-instances=[3]

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

A512MB

B60s

C1

D128MB

Attempts:

3 left

💡 Hint

Common Mistakes

Using too much memory increases cold start time.

Setting min-instances to 0 causes cold starts.

Setting memory to 128MB (minimum), timeout to 60s, and minimum instances to 1 helps reduce cold start delays.