Ensure Logging for Development Resources with CloudFormation Templates

Answer - B.

The AWS Documentation mentions the following.

You might use conditions when you want to reuse a template that can create resources in different contexts, such as a test environment versus a production environment.

In your template, you can add an EnvironmentType input parameter, which accepts either prod or test as inputs.

For the production environment, you might include Amazon EC2 instances with certain capabilities; however, for the test environment, you want to use reduced capabilities to save money.

With conditions, you can define which resources are created and how they're configured for each environment type.

For more information on Cloudformation conditions please visit the below url.

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/conditions-section-structure.html

The correct answer for this question is B. Create a parameter in the Cloudformation template and then use the Condition clause in the template to create an S3 bucket if the parameter has a value of development.

Explanation:

Amazon CloudFormation is a service that allows you to create and manage AWS resources using code. It provides a way to create a collection of related AWS resources, provision and manage them in an orderly and predictable fashion. It provides templates which are JSON or YAML formatted text files, that define the resources and their configurations in AWS.

In this question, the requirement is to ensure that an S3 bucket is created for all resources in development for logging purposes. To achieve this, we need to create a CloudFormation template that creates an S3 bucket only for resources in the development environment.

Option A is not the right answer, as it creates separate CloudFormation templates for development and production, which is not a practical solution as it requires maintaining multiple templates for each environment.

Option C is incorrect as it suggests creating an S3 bucket from before and providing access based on the tag value mentioned in the CloudFormation template. While this solution could work, it is not an optimal solution as it does not meet the requirement of creating an S3 bucket only for resources in the development environment.

Option D is also incorrect as it suggests using the metadata section in the CloudFormation template to decide on whether to create the S3 bucket or not. The metadata section is used to include arbitrary data in a CloudFormation template, and it is not intended for creating AWS resources.

Option B is the correct answer, as it suggests creating a parameter in the CloudFormation template, which allows the developer to specify the environment (Development, Production, etc.). Then, by using the Condition clause in the CloudFormation template, we can create an S3 bucket if the parameter has a value of development.

Here's an example of how this can be achieved:

yamlCopy code
Parameters:   EnvironmentType:     Description: The environment to deploy (development, production, etc.)     Type: String     Default: development     AllowedValues:       - development       - production  Resources:   S3Bucket:     Type: 'AWS::S3::Bucket'     Condition: IsDevelopment     Properties:       BucketName: my-development-bucket       AccessControl: Private       VersioningConfiguration:         Status: Suspended  Conditions:   IsDevelopment: !Equals [!Ref EnvironmentType, 'development'] 

In this example, we have defined a parameter called EnvironmentType which allows the user to specify the environment (development or production) to deploy the resources. We have also defined a condition called IsDevelopment, which checks if the EnvironmentType parameter is equal to development.

In the Resources section of the CloudFormation template, we have defined an S3 bucket resource with the name S3Bucket. The Condition clause is used to specify that this resource should only be created if the IsDevelopment condition is true. The Properties section specifies the properties for the S3 bucket, including the BucketName, AccessControl, and VersioningConfiguration.

By using this approach, we can ensure that an S3 bucket is created only for resources in the development environment, as specified by the EnvironmentType parameter.