Terraform-Associate-003學習筆記 & Terraform-Associate-003資料

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HashiCorp Terraform-Associate-003 考試大綱：

主題	簡介
主題 1	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.
主題 2	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.
主題 3	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.
主題 4	Manage resource lifecycle: The section covers topics such as Initializing a configuration using terraform init and its options and generating an execution plan using terraform plan and its options. It also covers the configuration changes using Terraform Apply and its options.

>> Terraform-Associate-003學習筆記 <<

Terraform-Associate-003資料 & Terraform-Associate-003考試心得

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最新的 Terraform Associate Terraform-Associate-003 免費考試真題 (Q193-Q198):

問題 #193
You can configure Terraform to log to a file using the TF_LOG environment variable.

A. True
B. False

答案：A

解題說明：
Explanation
You can configure Terraform to log to a file using the TF_LOG environment variable. This variable can be set to one of the log levels: TRACE, DEBUG, INFO, WARN or ERROR. You can also use the TF_LOG_PATH environment variable to specify a custom log file location. References = : Debugging Terraform

問題 #194
Which of these statements about Terraform Cloud workspaces is false?

A. You must use the CLI to switch between workspaces
B. Plans and applies can be triggered via version control system integrations
C. They can securely store cloud credentials
D. They have role-based access controls

答案：A

解題說明：
Explanation
The statement that you must use the CLI to switch between workspaces is false. Terraform Cloud workspaces are different from Terraform CLI workspaces. Terraform Cloud workspaces are required and represent all of the collections of infrastructure in an organization. They are also a major component of role-based access in Terraform Cloud. You can grant individual users and user groups permissions for one or more workspaces that dictate whether they can manage variables, perform runs, etc. You can create, view, and switch between Terraform Cloud workspaces using the Terraform Cloud UI, the Workspaces API, or the Terraform Enterprise Provider5. Terraform CLI workspaces are optional and allow you to create multiple distinct instances of a single configuration within one working directory. They are useful for creating disposable environments for testing or experimenting without affecting your main or production environment. You can create, view, and switch between Terraform CLI workspaces using the terraform workspace command6. The other statements about Terraform Cloud workspaces are true. They have role-based access controls that allow you to assign permissions to users and teams based on their roles and responsibilities. You can create and manage roles using the Teams API or the Terraform Enterprise Provider7. Plans and applies can be triggered via version control system integrations that allow you to link your Terraform Cloud workspaces to your VCS repositories. You can configure VCS settings, webhooks, and branch tracking to automate your Terraform Cloud workflow8. They can securely store cloud credentials as sensitive variables that are encrypted at rest and only decrypted when needed. You can manage variables using the Terraform Cloud UI, the Variables API, or the Terraform Enterprise Provider9. References = [Workspaces]5, [Terraform CLI Workspaces]6, [Teams and Organizations]7, [VCS Integration]8, [Variables]9

問題 #195
What does this code do?

A. Requires any version of the AWS provider > 3.0
B. Requires any version of the AWS provider > = 3.0 major release. like 4.1
C. Requires any version of the AWS provider >= 3.0
D. Requires any version of the AWS provider > = 3.0 and <4.0

答案：D

解題說明：
This is what this code does, by using the pessimistic constraint operator (~>), which specifies an acceptable range of versions for a provider or module.

問題 #196
Where in your Terraform configuration do you specify a state backend?

A. The provider block
B. The data source block
C. The terraform block
D. The resource block

答案：C

解題說明：
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 .

問題 #197
You can access state stored with the local backend by using terraform_remote_state data source.

A. False
B. True

答案：A

解題說明：
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.
References:
Terraform documentation on terraform_remote_state data source: Terraform Remote State Data Source Example usage of remote state: Example Usage (remote Backend)

問題 #198
......

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