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Access pre-configured environments for AWS, Azure, and GCP without complex setup or costly resources
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Step-by-step instructions with validation to build fundamental skills
Pre-configured cloud environments for free exploration and experimentation
Test your skills with real-world scenarios and problem-solving tasks
Learn to deploy and manage complex cloud infrastructure configurations
Work across AWS, Azure, and GCP in integrated environments
Targeted practice for AWS, Azure, and GCP certification exams
Write and deploy real code in our sandbox environments with instant feedback
import boto3
# Initialize S3 client
s3 = boto3.client('s3')
def lambda_handler(event, context):
# Create a new S3 bucket
bucket_name = 'my-unique-bucket-name'
try:
s3.create_bucket(
Bucket=bucket_name,
CreateBucketConfiguration={
'LocationConstraint': 'us-west-2'
}
)
return {
'statusCode': 200,
'body': f'Bucket {bucket_name} created!'
}
except Exception as e:
return {
'statusCode': 500,
'body': str(e)
}
provider "aws" {
region = "us-west-2"
}
resource "aws_s3_bucket" "example" {
bucket = "my-terraform-bucket"
tags = {
Name = "My Terraform Bucket"
Environment = "Dev"
}
}
resource "aws_s3_bucket_acl" "example" {
bucket = aws_s3_bucket.example.id
acl = "private"
}
resource "aws_s3_bucket_versioning" "versioning_example" {
bucket = aws_s3_bucket.example.id
versioning_configuration {
status = "Enabled"
}
}
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