Terraform vs CloudFormation vs Pulumi - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define an AWS S3 bucket using Terraform.

Terraform

resource "aws_s3_bucket" "my_bucket" {
  bucket = "[1]"
}

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

Amy-random-bucket

Bmy-cloudformation-bucket

Cmy-terraform-bucket

Dmy-pulumi-bucket

Attempts:

3 left

💡 Hint

Common Mistakes

Using names related to other tools like CloudFormation or Pulumi.

Leaving the bucket name blank.

The bucket name should match the Terraform naming convention and example.

2fill in blank

medium

Complete the code to specify the AWS provider in Terraform.

Terraform

provider "aws" {
  region = "[1]"
}

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

Aus-west-2

Bap-southeast-1

Ceu-central-1

Dus-east-1

Attempts:

3 left

💡 Hint

Common Mistakes

Using invalid region codes.

Leaving the region blank.

The region us-east-1 is commonly used in examples and is a valid AWS region.

3fill in blank

hard

Fix the error in the Terraform resource block by completing the missing argument.

Terraform

resource "aws_instance" "example" {
  ami           = "ami-0c55b159cbfafe1f0"
  instance_type = "[1]"
}

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

At2.micro

Bt2.small

Ct3.micro

Dm5.large

Attempts:

3 left

💡 Hint

Common Mistakes

Using instance types that do not exist or are too large for simple examples.

Leaving the instance_type blank.

The instance_type 't2.micro' is a valid and commonly used instance type for examples.

4fill in blank

hard

Fill both blanks to create a Terraform output that shows the bucket name and its ARN.

Terraform

output "bucket_info" {
  value = {
    name = aws_s3_bucket.my_bucket.[1]
    arn  = aws_s3_bucket.my_bucket.[2]
  }
}

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

Abucket

Barn

Cid

Dname

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'name' instead of 'id' for the bucket name.

Mixing up 'bucket' and 'id' attributes.

The 'id' attribute gives the bucket name, and 'arn' gives the Amazon Resource Name.

5fill in blank

hard

Fill all three blanks to define a Terraform variable with a default value and description.

Terraform

variable "region" {
  type        = "[1]"
  default     = "[2]"
  description = "[3]"
}

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

Astring

Bus-east-1

CAWS region for deployment

Dnumber

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'number' type for a region variable.

Leaving description blank or unclear.

The variable type is 'string', the default is a valid AWS region, and the description explains the variable's purpose.

Practice

1. Which infrastructure as code tool is designed to work only with AWS and uses JSON or YAML for its templates?

easy

A. CloudFormation

B. Terraform

C. Pulumi

D. Ansible

Solution

1. Step 1: Identify AWS-only tool

   CloudFormation is the only tool among the options that works exclusively with AWS.

2. Step 2: Check template language

   CloudFormation uses JSON or YAML for its templates, unlike Terraform (HCL) or Pulumi (programming languages).

3. Final Answer:

   CloudFormation -> Option A

4. Quick Check:

   AWS-only + JSON/YAML = CloudFormation [OK]

Hint: AWS-only and JSON/YAML means CloudFormation [OK]

Common Mistakes:

• Confusing Terraform as AWS-only
• Thinking Pulumi uses JSON/YAML
• Selecting Ansible which is not IaC focused

2. Which of the following is the correct way to describe Pulumi's approach to infrastructure as code?

easy

A. Uses general-purpose programming languages like JavaScript or Python

B. Uses JSON or YAML templates tightly integrated with AWS

C. Uses shell scripts for provisioning

D. Uses a domain-specific language called HCL

Solution

1. Step 1: Identify Pulumi's language style

   Pulumi uses real programming languages such as JavaScript, Python, Go, or C# for defining infrastructure.

2. Step 2: Eliminate other options

   HCL is Terraform's language, JSON/YAML with AWS is CloudFormation, and shell scripts are not Pulumi's approach.

3. Final Answer:

   Uses general-purpose programming languages like JavaScript or Python -> Option A

4. Quick Check:

   Pulumi = real programming languages [OK]

Hint: Pulumi uses real programming languages, not templates [OK]

Common Mistakes:

• Confusing Pulumi with Terraform's HCL
• Thinking Pulumi uses JSON/YAML
• Assuming Pulumi uses shell scripts

3. Given the following statements, which tool supports multiple cloud providers and uses a simple declarative language called HCL?

1. Supports AWS, Azure, GCP
2. Uses JSON or YAML
3. Uses HCL
4. Uses programming languages like TypeScript

medium

A. Chef

B. Pulumi

C. CloudFormation

D. Terraform

Solution

1. Step 1: Match multi-cloud support

   Terraform supports multiple clouds like AWS, Azure, and GCP.

2. Step 2: Match language used

   Terraform uses HCL, a simple declarative language. JSON/YAML is CloudFormation, programming languages like TypeScript is Pulumi.

3. Final Answer:

   Terraform -> Option D

4. Quick Check:

   Multi-cloud + HCL = Terraform [OK]

Hint: Multi-cloud + HCL means Terraform [OK]

Common Mistakes:

• Choosing Pulumi for HCL language
• Selecting CloudFormation for multi-cloud
• Confusing Chef with IaC tools

4. You wrote a Pulumi program in Python but it fails to deploy because it uses AWS-specific resource names not supported by Azure. What is the main error here?

medium

A. Terraform should be used instead of Pulumi for AWS

B. Pulumi does not support Python as a language

C. Using AWS resource names in a multi-cloud Pulumi program without adjusting for Azure

D. CloudFormation templates are required for Azure deployments

Solution

1. Step 1: Identify the cause of failure

   The Pulumi program uses AWS resource names but tries to deploy on Azure, causing incompatibility.

2. Step 2: Understand Pulumi's multi-cloud nature

   Pulumi supports multiple clouds but resource names and APIs differ per cloud and must be adjusted accordingly.

3. Final Answer:

   Using AWS resource names in a multi-cloud Pulumi program without adjusting for Azure -> Option C

4. Quick Check:

   Cloud-specific resource names must match target cloud [OK]

Hint: Match resource names to target cloud in Pulumi [OK]

Common Mistakes:

• Thinking Pulumi can't use Python
• Believing Terraform is required for AWS
• Assuming CloudFormation works on Azure

5. You want to manage infrastructure across AWS and Azure using a single tool. You prefer writing code in TypeScript and want to reuse existing programming skills. Which tool should you choose and why?

hard

A. CloudFormation, because it is tightly integrated with AWS

B. Pulumi, because it supports multiple clouds and uses real programming languages like TypeScript

C. Terraform, because it supports multiple clouds and uses HCL

D. Ansible, because it uses YAML for automation

Solution

1. Step 1: Identify multi-cloud support with TypeScript

   Pulumi supports multiple clouds and allows writing infrastructure code in TypeScript, matching the requirement.

2. Step 2: Compare other tools

   Terraform supports multi-cloud but uses HCL, not TypeScript. CloudFormation is AWS-only. Ansible is for automation, not primarily IaC with TypeScript.

3. Final Answer:

   Pulumi, because it supports multiple clouds and uses real programming languages like TypeScript -> Option B

4. Quick Check:

   Multi-cloud + TypeScript = Pulumi [OK]

Hint: Multi-cloud + TypeScript means Pulumi [OK]

Common Mistakes:

• Choosing Terraform for TypeScript support
• Selecting CloudFormation for multi-cloud
• Confusing Ansible with IaC tools