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HashiCorp Terraform-Associate-003 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Configure and use Terraform providers: In this section, topics covered include understanding Terraform's plugin-based architecture and configuring providers. It also covers aliasing, sourcing, and versioning functions.
Topic 2
  • Develop and troubleshoot dynamic configuration: This section deals with topics such as using language features to validate configuration query providers using data sources, computing and interpolating data using HCL functions, and using meta-arguments in configuration.
Topic 3
  • Collaborate on infrastructure as code using HCP Terraform: In this section, the topics covered include analyzing the HCP Terraform run workflow, the role of HCP Terraform workspaces and their configuration options, and the management of provider credentials in HCP Terraform.
Topic 4
  • Create, maintain, and use Terraform modules: In this section of the exam, candidates are tested for creating a module, using a module in configuration, and topics such as refactoring an existing configuration into modules.
Topic 5
  • Develop collaborative Terraform workflows: In this section, candidates are tested for their skills related to managing the Terraform binary, providers, and modules using version constraints and setting up remote states. It also covers the utilization of the Terraform workflow in automation.

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HashiCorp Certified: Terraform Associate (003) (HCTA0-003) Sample Questions (Q140-Q145):

NEW QUESTION # 140
When using multiple configuration of the same Terraform provider, what meta-argument must you include in any non-default provider configurations?

Answer: D

Explanation:
This is the meta-argument that you must include in any non-default provider configurations, as it allows you to give a friendly name to the configuration and reference it in other parts of your code. The other options are either invalid or irrelevant for this purpose.


NEW QUESTION # 141
Which of these ate secure options for storing secrets for connecting to a Terraform remote backend? Choose two correct answers.

Answer: A,D

Explanation:
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


NEW QUESTION # 142
In a Terraform Cloud workspace linked to a version control repository, speculative plan runs start automatically when you merge or commit changes to version control.

Answer: A

Explanation:
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.


NEW QUESTION # 143
You have multiple team members collaborating on infrastructure as code (IaC) using Terraform, and want to apply formatting standards for readability.
How can you format Terraform HCL (HashiCorp Configuration Language) code according to standard Terraform style convention?

Answer: B


NEW QUESTION # 144
A developer accidentally launched a VM (virtual machine) outside of the Terraform workflow and ended up with two servers with the same name. They don't know which VM Terraform manages but do have a list of all active VM IDs.
Which of the following methods could you use to discover which instance Terraform manages?

Answer: B

Explanation:
Explanation
The terraform state list command lists all resources that are managed by Terraform in the current state file1. The terraform state show command shows the attributes of a single resource in the state file2. By using these two commands, you can compare the VM IDs in your list with the ones in the state file and identify which one is managed by Terraform.


NEW QUESTION # 145
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