Free and Premium HashiCorp Terraform-Associate-003 Dumps Questions Answers

The key principle of infrastructure as code that is not listed among the options is golden images. Golden images are pre-configured, ready-to-use virtual machine images that contain a specific set of software and configuration. They are often used to create multiple identical instances of the same environment, such as for testing or production. However, golden images are not a principle of infrastructure as code, but rather a technique that can be used with or without infrastructure as code. The other options are all key principles of infrastructure as code, as explained below:

Self-describing infrastructure: This means that the infrastructure is defined in code that describes its desired state, rather than in scripts that describe the steps to create it. This makes the infrastructure easier to understand, maintain, and reproduce.

Idempotence: This means that applying the same infrastructure code multiple times will always result in the same state, regardless of the initial state. This makes the infrastructure consistent and predictable, and avoids errors or conflicts caused by repeated actions.

Versioned infrastructure: This means that the infrastructure code is stored in a version control system, such as Git, that tracks the changes and history of the code. This makes the infrastructure code reusable, auditable, and collaborative, and enables practices such as branching, merging, and rollback. References = [Introduction to Infrastructure as Code with Terraform], [Infrastructure as Code in a Private or Public Cloud]

terraform validatechecks for syntax errors and internal consistencyin the configuration files.

However, itdoes notcheck if resource configurations are valid with the provider.

Official Terraform Documentation Reference:

terraform validate - HashiCorp Documentation

Inrefresh-only mode(terraform apply -refresh-only), Terraformupdates the state fileto match the actual infrastructurewithout modifying resources.

A (Terraform configuration)–Not modifiedin refresh-only mode.

B (Terraform plan)–Plan is generated but not modified.

D (Cloud infrastructure)–Not modifiedin refresh-only mode.

Official Terraform Documentation Reference:

Refresh-Only Mode

C (✅Correct)– If changes require aresource replacement(e.g., changing an immutable attribute like instance type), Terraform willdestroy and recreate the resource.

E (✅Correct)– Terraform only appliesthe configuration in the current directory or workspace.

This is one disadvantage of using dynamic blocks in Terraform, as they can introduce complexity and reduce readability of the configuration. The other options are either advantages or incorrect statements.

These are two ways to produce a list of the IDs from a list of objects that have an attribute id, using either a for expression or a splat expression syntax.

From the official Terraform Type Constraints Documentation:

The object({ name = string, age = number }) type expects:

name to be aquoted string, e.g. "John"

age to be anumber, e.g. 52

Option Bsatisfies both:

{

name = "John" #✅Valid string

age = 52 #✅Valid number

}

Let's analyze the incorrect ones:

❌Option A: "fifty two" is not a valid number.

❌Option C: John is unquoted (invalid string), and "fifty two" is not a number.

❌Option D: name = John is not quoted, making it an invalid string in HCL.

Terraform is strict about type and formatting. Stringsmust be quoted, and numbersmust be numeric literals.

This is a bad practice, as it exposes your credentials to anyone who can access your configuration files or state files. You should use environment variables, credential files, or other mechanisms to provide credentials to Terraform.

Terraform state files are not automatically encrypted by default. Sensitive values are stored in plaintext within the state file. However, you can protect the state file by using remote backends that support encryption, such as AWS S3 with server-side encryption enabled or Terraform Cloud, which offers encrypted state storage.

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.

The best way to specify a tag of v1.0.0 when referencing a module stored in Git is to append ?ref=v1.0.0 argument to the source path. This tells Terraform to use a specific Git reference, such as a branch, tag, or commit, when fetching the module source code. For example, source = " ". This ensures that the module version is consistent and reproducible across different environments. References = [Module Sources], [Module Versions]

 This is the command that can add existing resources into Terraform state, by matching them with the corresponding configuration blocks in your files. 

Infrastructure as Code (IaC) can indeed be stored in a version control system along with application code. This practice is a fundamental principle of modern infrastructure management, allowing teams to apply software development practices like versioning, peer review, and CI/CD to infrastructure management. Storing IaC configurations in version control facilitates collaboration, history tracking, and change management.References = While this concept is a foundational aspect of IaC and is widely accepted in the industry, direct references from the HashiCorp Terraform Associate (003) study materials were not found in the provided files. However, this practice is encouraged in Terraform's best practices and various HashiCorp learning resources.

These are features of Terraform Cloud, which is a hosted service that provides a web-based UI, remote state storage, remote operations, collaboration features, and more for managing your Terraform infrastructure.

The terraform apply command changes both the cloud infrastructure and the state file after you approve the execution plan. The command creates, updates, or destroys the infrastructure resources to match theconfiguration. It also updates the state file to reflect the new state of the infrastructure. The .terraform directory, the execution plan, and the Terraform code are not changed by the terraform apply command. References = Command: apply and Purpose of Terraform State

The remote backend can work with either a single remote Terraform Cloud workspace, or with multiple similarly-named remote workspaces (like networking-dev and networking-prod). The workspaces block of the backend configuration determines which mode it uses. To use a single remote Terraform Cloud workspace, set workspaces.name to the remote workspace’s full name (like networking-prod). To use multiple remote workspaces, set workspaces.prefix to a prefix used in all of the desired remote workspace names. For example, set prefix = “networking-” to use Terraform cloud workspaces with names like networking-dev and networking-prod. This is helpful when mapping multiple Terraform CLI workspaces used in a single Terraform configuration to multiple Terraform Cloud workspaces3. However, one remote backend configuration always maps to a single remote workspace, either by name or by prefix. You cannot use both name and prefix in the same backend configuration, or omit both. Doing so will result in a configuration error3. References = [Backend Type: remote]3

This will trigger a run in the Terraform Cloud workspace, which will perform a plan and apply operation on the infrastructure defined by the Terraform configuration files in the VCS repository.

The two steps that are required to provision new infrastructure in the Terraform workflow are init and apply. The terraform init command initializes a working directory containing Terraform configuration files. It downloads and installs the provider plugins that are needed for the configuration, and prepares the backend for storing the state. The terraform apply command applies the changes required to reach the desired state of the configuration, as described by the resource definitions in the configuration files. It shows a plan of the proposed changes and asks for confirmation before making any changes to the infrastructure. References = [The Core Terraform Workflow], [Initialize a Terraform working directory with init], [Apply Terraform Configuration with apply]

The public Terraform Module Registry automatically exposes all the information about published modules, including required input variables, optional input variables and default values, and outputs. This helps users to understand how to use and configure the modules.

In Terraform Cloud, you can switch between workspaces using both the web UI and CLI. The statement that you "must use the CLI" is false. Workspaces can securely store cloud credentials, offer role-based access control, and integrate with VCS to trigger plan and apply operations.

B (terraform init)–Must be run firstto initialize the Terraform working directory, download providers, and configure the backend.

A (terraform apply)– Requires initialization first, so itcannotbe run before terraform init.

C (terraform plan)– Also requires terraform init first to generate a plan.

D (terraform show)– Displays the state,not relevantfor first-time deployment.

Official Terraform Documentation Reference:

terraform init - HashiCorp Documentation

The correct syntax to pass a variable from the root module to a child module isservers = var.num_servers. Terraform uses dot notation to reference variables.

When running a terraform apply -refresh-only, Terraform does not reference the configuration files, but only the state file, credentials, and cloud provider. The purpose of this command is to update the state file with the current status of the real resources, without making any changes to them1.

This command will check if all code in a Terraform configuration that references multiple modules is properly formatted without making changes, and will return a non-zero exit code if any files need formatting. The other commands will either make changes, list the files that need formatting, or not check the modules.

This is the Terraform style convention for indenting a nesting level compared to the one above it. The other options are not consistent with the Terraform style guide.

The Terraform collection type that should be used to store key/value pairs is map. A map is a collection of values that are accessed by arbitrary labels, called keys. The keys and values can be of any type, but the keys must be unique within a map. For example, var = { key1 = "value1", key2 = "value2" } is a map with two key/value pairs. Maps are useful for grouping related values together, such as configuration options or metadata. References = [Collection Types], [Map Type Constraints]

This is the scenario that poses a challenge for this team, if they adopt AWS CloudFormation as their standardized method for provisioning public cloud resources, as CloudFormation only supports AWS services and resources, and cannot be used to provision infrastructure on other cloud platforms such as Azure.

The terraform import command is not part of any other Terraform workflow. It must be explicitly invoked by the user with the appropriate arguments, such as the resource address and the ID of the existing infrastructure to import. References = [Importing Infrastructure]

The Terraform binary version and provider versions do not have to match each other in a single configuration. Terraform allows you to specify provider version constraints in the configuration’s terraform block, which can be different from the Terraform binary version1. Terraform will use the newest version of the provider that meets the configuration’s version constraints2. You can also use the dependency lock file to ensure Terraform is using the correct provider version3. References =

•1: Providers - Configuration Language | Terraform | HashiCorp Developer

•2: Multiple provider versions with Terraform - Stack Overflow

•3: Lock and upgrade provider versions | Terraform - HashiCorp Developer

The terraform validate command is used to check that your Terraform configuration files are syntactically valid and internally consistent. It is a useful command for ensuring your Terraform code is error-free before applying any changes to your infrastructure.

Dynamic blocks in Terraform allow you to define multiple nested blocks within a resource based on the values of a variable. This feature is particularly useful for scenarios where the number of nested blocks is not fixed and can change based on variable input.

Outside of the required_providers block, Terraform configurations can refer to providers by either their local names or their source addresses. The local name is a short name that can be used throughout the configuration, while the source address is a global identifier for the provider in the format registry.terraform.io/namespace/type. For example, you can use either aws or registry.terraform.io/hashicorp/aws to refer to the AWS provider.

In Terraform, the backend configuration, which includes details about where and how state is stored, is specified within the terraform block of your configuration. This block is the correct place to define the backend type and its configuration parameters, such as the location of the state file for a local backend or the bucket details for a remote backend like S3.References = This practice is outlined in Terraform's core documentation, which provides examples and guidelines on how to configure various aspects of Terraform's behavior, including state backends .

Any user with permission to apply a plan can apply it, not only the user that generated it. This allows for collaboration and delegation of tasks among team members.

The terraform validate command is used to check for syntax errors and internal consistency within Terraform configurations, such as whether all required arguments are specified. It does not check for indentation styles, missing variable values (as variables might not be defined at validation time), or state file consistency with the current infrastructure. Therefore, none of the provided options are correct in the context of what terraform validate reports.References = Terraform's official documentation details the purpose and function of the terraform validate command, specifying that it focuses on syntaxand consistency checks within Terraform configurations themselves, not on external factors like the state file or infrastructure state. Direct references from the HashiCorp Terraform Associate (003) study materials to this specific detail were not found in the provided files.

The command that makes your code more human readable is terraform fmt. This command is used to rewrite Terraform configuration files to a canonical format and style, following the Terraform language style conventions and other minor adjustments for readability. The command is optional, opinionated, and has no customization options, but it is recommended to ensure consistency of style across different Terraform codebases. Consistency can help your team understand the code more quickly and easily, making the use of terraform fmt very important. You can run this command on your configuration files before committing them to source control or as part of your CI/CD pipeline. References = : Command: fmt : Using Terraform fmt Command to Format Your Terraform Code

None of the above methods prevent credentials from being stored in the state file. Terraform stores the provider configuration in the state file, which may include sensitive information such as credentials. This is a potential security risk and should be avoided if possible. To prevent credentials from being stored in the state file, you can use one of the following methods:

Use environment variables to pass credentials to the provider. This way, the credentials are not part of the provider configuration and are not stored in the state file. However, this method may not work for some providers that require credentials to be set in the provider block.

Use dynamic credentials to authenticate with your cloud provider. This way, Terraform Cloud or Enterprise will request temporary credentials from your cloud provider for each run and use them to provision your resources. The credentials are not stored in the state file and are revoked after the run is completed. This method is supported for AWS, Google Cloud Platform, Azure, and Vault. References = : [Sensitive Values in State] : Authenticate providers with dynamic credentials

Terraform can call modules from various sources including the public Terraform Registry, private registries, local file paths, or version control systems like GitHub.

The terraform fmt command is used to format Terraform configuration files to a canonical format and style. This ensures that all team members are using a consistent style, making the code easier to read and maintain. It automatically applies Terraform's standard formatting conventions to your configuration files, helping maintain consistency across the team's codebase.

terraform initretrieves and caches providers and modules, butonly for explicitly declared modulesin the configuration.

If a module isadded or updated, terraform init needs to be re-run to download the new version.

Terraform does not automatically cache all remote modules unless they are explicitly referenced in the configuration.

Official Terraform Documentation Reference:

terraform init - HashiCorp Documentation

Terraform modules are referenced by specifying a source location. This location can be a URL or a file path. However, specifying query parameters such as ?version=vl.6.0 directly within the source path is not a valid or supported method for specifying a module version in Terraform. Instead, version constraints are specified using the version argument within the module block, not as part of the source string.References = This clarification is based on Terraform's official documentation regarding module usage, which outlines the correct methods for specifying module sources and versions.

This is how Terraform chooses which version of the provider to use, when you add a new resource to an existing Terraform configuration, but do not update the version constraint in the configuration. The lock file records the exact version of each provider that was installed in your working directory, and ensures that Terraform will always use the same provider versions until you run terraform init -upgrade to update them.

The module source path that does not specify a remote module is source = "module/consul". This specifies a local module, which is a module that is stored in a subdirectory of the current working directory. The other options are all examples of remote modules, which are modules that are stored outside of the current working directory and can be accessed by various protocols, such as Git, HTTP, or the Terraform Registry. Remote modules are useful for sharing and reusing code across different configurations and environments. References = [Module Sources], [Local Paths], [Terraform Registry], [Generic Git Repository], [GitHub]

This is not a valid Terraform collection type, as Terraform only supports three collection types: list, map, and set. A tree is a data structure that consists of nodes with parent-child relationships, which is not supported by Terraform.

This is the recommended way to use a remote backend that needs authentication, as it allows you to provide the credentials via environment variables, command-line arguments, or interactive prompts, without storing them in the Terraform configuration files.

C (✅Correct)– InHCP Terraform, you can use the terraform_remote_state data source to referenceanother workspace's state. This feature isnot available in Terraform CLI.

A (❌Incorrect)– terraform plan (dry runs)is available in both Terraform CLI and HCP Terraform.

B (❌Incorrect)– Secure variable storageexists in HCP Terraform, but CLI users can store variables securely using environment variables or .tfvars files.

D (❌Incorrect)– BothTerraform CLI and HCP Terraform support multiple cloud providers.

Official Terraform Documentation Reference:

terraform_remote_state - HashiCorp Documentation

Terraform creates the .terraform.lock.hcl file after the first terraform init command. This lock file ensures that the dependencies for your project are consistent across different runs by locking the versions of the providers and modules used.

The error messageindicates an authentication issue (403 - Access Denied), which requiresdebugging Terraform logs.

Setting TF_LOG=DEBUG enablesdetailed logs, providing insights into API requests, state loading, and authentication errors.

Terraformdoes not log errors in /var/log/terraform.log or syslog, making optionsC and D incorrect.

A (terraform login)is only relevant forTerraform Cloud, but this error appears to be related toprovider authentication.

Official Terraform Documentation Reference:

Debugging Terraform

This is the command that does not cause Terraform to refresh its state, as it only lists the resources that are currently managed by Terraform in the state file. The other commands will refresh the state file before performing their operations, unless you use the -refresh=false flag.

All of the statements are true of Terraform providers. Terraform providers are plugins that enable Terraform to interact with various APIs and services1. Anyone can write a Terraform provider, either as an individual or as part of a community2. HashiCorp maintains some providers, such as the AWS, Azure, and Google Cloud providers3. Cloud providers and infrastructure vendors can also write, maintain, or collaborate on Terraform providers, such as the VMware, Oracle, and Alibaba Cloud providers. References =

•1: Providers - Configuration Language | Terraform | HashiCorp Developer

•2: Plugin Development - How Terraform Works With Plugins | Terraform | HashiCorp Developer

•3: Terraform Registry

•: Terraform Registry

The terraform init command is required before using a new backend or integrating with HCP Terraform/Terraform Cloud.

terraform init initializes the working directory and sets up the backend, downloading necessary provider plugins and modules.

If the backend configuration changes, Terraform willrequirere-initialization to apply those changes.

Without running terraform init, Terraform willfailto use a new backend or remote Terraform Cloud workspace.

Official Terraform Documentation Reference:

terraform init - HashiCorp Documentation

terraform state listonly displays resources stored in the state filebut doesnot interact with the cloud provideror refresh the state.

terraform plan, terraform apply, and terraform destroycompare or modify the infrastructure, so theyrefresh the stateto ensure accuracy.

Official Terraform Documentation Reference:

terraform state list - HashiCorp Documentation

This is the best way to delete the newly-created VM with Terraform, as it will only affect the resource that was created by your configuration and state file. The other options are either incorrect or inefficient.

 Terraform configuration (including any module references) can contain more than one Terraform provider type. Terraform providers are plugins that Terraform uses to interact with various cloud services and other APIs. A Terraform configuration can use multiple providers to manage resources across different platforms and services. For example, a configuration can use the AWS provider to create a virtual machine, the Cloudflare provider to manage DNS records, and the GitHub provider to create a repository. Terraform supports hundreds of providers for different use cases and scenarios. References = [Providers], [Provider Requirements], [Provider Configuration]

Not all standard backend types support state locking and remote operations like plan, apply, and destroy. For example, the local backend does not support remote operations and state locking. State locking is a feature that ensures that no two users can make changes to the state file at the same time, which is crucial for preventing race conditions. Remote operations allow running Terraform commands on a remote server, which is supported by some backends like remote or consul, but not all.

Speculative Plans: Terraform Cloud’sspeculative planfeature runs automatically when changes are detected in a linked VCS repository, enabling users to review potential infrastructure changes without committing them.

Automatic Integration: This feature automates the planning process by triggering when changes are committed, aiding teams in previewing infrastructure changes seamlessly.

For further understanding, see theTerraform Cloud VCS Integrationdocumentation.

Sentinel policies are checked after the plan stage of a Terraform run, but before it can be confirmed or the terraform apply is executed3. This allows you to enforce rules on your infrastructure before it is created or modified.

This is the command that lets you experiment with Terraform expressions, by providing an interactive console that allows you to evaluate expressions and see their results. You can use this command to test your expressions before using them in your configuration files.

This is the best time to run terraform validate, as it will check your code for syntax errors, typos, and missing arguments before you attempt to create a plan. The other options are either incorrect or unnecessary.

To prevent two Terraform runs from changing the same state file simultaneously, state locking is used. State locking ensures that when one Terraform operation is running, others will be blocked from making changes to the same state, thus preventing conflicts and data corruption. This is achieved by configuring the state backend to support locking, which will lock the state for all operations that could write to the state.References = This information is supported by Terraform's official documentation, which explains the importance of state locking and how it can be configured for different backends to prevent concurrent state modifications .

You cannot access state stored with the local backend by using the terraform_remote_state data source. The terraform_remote_state data source is used to retrieve the root module output values from some other Terraform configuration using the latest state snapshot from the remote backend. It requires a backend that supports remote state storage, such as S3, Consul, AzureRM, or GCS. The local backend stores the state file locally on the filesystem, which terraform_remote_state cannot access.

Runningterraform destroywill show all resources that will be deleted before prompting for approval. You can also runterraform plan -destroyto simulate the destruction without actually applying it, which is useful for reviewing the planned changes.

This is the method for sharing Terraform configurations that fulfills the following criteria:

Keeps the configurations confidential within your organization

Supports Terraform’s semantic version constraints

Provides a browsable directory

The Terraform Cloud private registry is a feature of Terraform Cloud that allows you to host and manage your own modules within your organization, and use them in your Terraform configurations with versioning and access control.

This is not a valid backend for Terraform, as it does not support locking or versioning of state files4. The other options are valid backends that can store state files in a central location.

This is the backend that the Terraform CLI uses by default, unless you specify a different backend in your configuration. The local backend stores the state file in a local file named terraform.tfstate, which can be used to track and manage the state of your infrastructure.

When declaring a Terraform output, the value argument is required. Outputs are a way to extract information from Terraform-managed infrastructure, and the value argument specifies what data will be outputted. While other arguments like description and sensitive can provide additional context or security around the output, value is the only mandatory argument needed to define an output.References = The requirement of the value argument for outputs is specified in Terraform's official documentation, which provides guidelines on defining and using outputs in Terraform configurations.

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]