Free HashiCorp Terraform-Associate-003 Practice Exam with Questions & Answers

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

These are some of the ways that a ticket-based system can slow down infrastructure provisioning and limit the ability to scale, as they introduce delays, bottlenecks, and manual interventions in the process of creating and modifying infrastructure.

In Terraform, the correct way to reference a resource attribute is:

pgsql

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resource_type.resource_name.attribute

For example, if the resource block is:

hcl

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resource "kubernetes_namespace" "example" {

metadata {

name = "my-namespace"

}

}

To reference the name attribute, use:

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kubernetes_namespace.example.name

Explanation of incorrect answers:

A (resource.kubernetes_namespace.example.name)– Incorrect. Terraform does not use the resource. prefix when referencing resources.

C (data.kubernetes.namespace.name)– Incorrect. This syntax is used fordata sources, not resources.

D (kubernetes_namespace.test.name)– Incorrect. The resource name is "example", not "test".

Official Terraform Documentation Reference:

Terraform Resource References

The default “local” Terraform backend stores the state file in a local file named terraform.tfstate, which can be used to track and manage the state of your infrastructure3.

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]

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 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.

Detailed Explanation:

Rationale for Correct Answer (D):The terraform.lock.hcl file is automatically created and maintained by Terraform. It records the specific versions and checksums of providers used in a configuration, ensuring consistent runs across environments and machines.

Analysis of Incorrect Options:

A. There is no such file: Incorrect — the lock file exists and is crucial for dependency management.

B. Storing references to workspaces: Incorrect — workspaces are tracked in the state file, not the lock file.

C. Preventing Terraform runs: Incorrect — the lock file does not block runs; it enforces consistent provider versions.

Key Concept:The terraform.lock.hcl file enforces provider version consistency, which is critical for reproducible and reliable Terraform deployments.

This command will upgrade the plugins to the latest acceptable version within the version constraints specified in the configuration. The other commands do not have an -upgrade option.

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]