Pass the HashiCorp Terraform Associate Terraform-Associate-003 Questions and answers with CertsForce

Terraform configuration can import modules from various sources, not only from the public registry. Modules can be sourced from local file paths, Git repositories, HTTP URLs, Mercurial repositories, S3 buckets, and GCS buckets. Terraform supports a number of common conventions and syntaxes for specifying module sources, as documented in the [Module Sources] page. References = [Module Sources]

Not all modules published on the official Terraform Module Registry have been verified by HashiCorp. While HashiCorp verifies some modules, there are many community-contributed modules that are not verified. Verified modules have a "Verified" badge indicating that HashiCorp has reviewed them for security and best practices, but the registry also includes unverified modules.

terraform apply can runwithout explicitly running terraform plan first.

Running terraform plan before apply isrecommendedbutnot mandatory.

If no plan file is provided, terraform applyautomatically creates and executes a planbefore applying changes.

Official Terraform Documentation Reference:

terraform apply - HashiCorp Documentation

In Terraform Cloud, speculative plan runs are not automatically started when changes are merged or committed to the version control repository linked to a workspace. Instead, speculative plans are typically triggered as part of proposed changes in merge requests or pull requests to give an indication of what would happen if the changes were applied, without making any real changes to the infrastructure. Actual plan and apply operations in Terraform Cloud workspaces are usually triggered by specific events or configurations defined within the Terraform Cloud workspace settings.References = This behavior is part of how Terraform Cloud integrates with version control systems and is documented in Terraform Cloud's usage guidelines and best practices, especially in the context of VCS-driven workflows.

Terraform workspaces allow you to create multiple states but still be associated with your current code. Workspaces are like “environments” (e.g. staging, production) for the same configuration. You can use workspaces to spin up a copy of your production deployment for testing purposes without having to configure a new state backend. Terraform data sources, local values, and modules are not features that allow you to create multiple states. References = Workspaces and How to Use Terraform Workspaces

Environment variables and connection configurations outside of Terraform are secure options for storing secrets for connecting to a Terraform remote backend. Environment variables can be used to set values for input variables that contain secrets, such as backend access keys or tokens. Terraform will read environment variables that start with TF_VAR_ and match the name of an input variable. For example, if you have an input variable called backend_token, you can set its value with the environment variable TF_VAR_backend_token1. Connection configurations outside of Terraform are files or scripts that provide credentials or other information for Terraform to connect to a remote backend. For example, you can use a credentials file for the S3 backend2, or a shell script for the HTTP backend3. These files or scripts are not part of the Terraform configuration and can be stored securely in a separate location. The other options are not secure for storing secrets. A variable file is a file that contains values for input variables. Variable files are usually stored in the same directory as the Terraform configuration or in a version control system. This exposes the secrets to anyone who can access the files or the repository. You should not store secrets in variable files1. Inside the backend block within the Terraform configuration is where you specify the type and settings of the remote backend. The backend block is part of the Terraform configuration and is usually stored in a version control system. This exposes the secrets to anyone who can access the configuration or the repository. You should not store secrets in the backend block4. References = [Terraform Input Variables]1, [Backend Type: s3]2, [Backend Type: http]3, [Backend Configuration]4

The terraform state rm commandremovesa resource from Terraform’s state file butdoes not destroythe resource in the actual infrastructure. It only removes Terraform’s knowledge of the resource, meaning Terraform will no longer manage it.

If you run terraform state rm on a resource, Terraform will forget that the resource exists.

However, the resource will still exist in the cloud or infrastructure provider.

If you later run terraform apply, Terraform may try torecreatethe resource because it is no longer present in its state file.

Official Terraform Documentation Reference:

terraform state rm - HashiCorp Documentation

From the Terraform Provider Requirements:

">= 3.0" means any versiongreater than or equal to 3.0— including 4.x and beyond.

A (wrong): Would need >= 3.0, < 4.0

C/D (wrong): > excludes 3.0 — not what’s written.

Setting the TF_LOG environment variable to DEBUG causes debug messages to be logged into stdout, along with other log levels such as TRACE, INFO, WARN, and ERROR. This can be useful for troubleshooting or debugging purposes.

Terraform validate reports configuration consistency errors, such as declaring a resource identifier more than once. This means that the same resource type and name combination is used for multiple resource blocks, which is not allowed in Terraform. For example, resource "aws_instance" "example" {...} cannot be used more than once in the same configuration. Terraform validate does not report errors related to module versions, state differences, or formatting issues, as these are not relevant for checking the configuration syntax and structure. References = [Validate Configuration], [Resource Syntax]