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| Section | Weight | Objectives |
|---|---|---|
| Understand Terraform Enterprise Features | 7% | - Explain workspace functionality and organization - Explain team management and access control - Understand Sentinel policy as code integration - Understand Terraform Cloud and Enterprise features |
| Understand Terraform's Purpose (Compared to Other IaC Tools) | 6% | - Explain when to use Terraform vs alternative IaC tools - Understand Terraform's position among other IaC tools - Explain Terraform's use cases and multi-cloud advantages |
| Interact with Terraform | 11% | - Validate Terraform configurations - Initialize and configure Terraform working directory - Generate and review Terraform execution plans - Use Terraform console for expressions and functions - Execute Terraform operations (apply, destroy) |
| Interact with Terraform Providers | 6% | - Configure provider credentials and arguments - Understand provider requirements and versioning - Configure providers with required_providers block |
| Read and Generate Terraform Configuration | 15% | - Understand dynamic expressions and string interpolation - Use conditional expressions and for expressions - Use Terraform functions (numeric, string, date, collection) - Use built-in Terraform functions and expressions - Troubleshoot Terraform configuration errors |
| Understand Terraform State | 9% | - Describe remote state management (Terraform Cloud, S3, etc.) - Explain Terraform state purpose and importance - Understand default local state behavior - Explain state drift and its implications - Understand state locking mechanisms |
| Understand Infrastructure as Code (IaC) Concepts | 7% | - Understand the importance of drift remediation - Explain the benefits of IaC for reproducibility and reliability - Explain what IaC is and the problems it solves |
| Understand Terraform Basics | 14% | - Explain the purpose of Terraform modules - Explain the purpose of Terraform providers - Describe the Terraform workflow (Write, Plan, Apply) - Understand state management and locking - Explain how Terraform parses and evaluates configurations |
| Understand Terraform Modules | 11% | - Call child modules with appropriate arguments - Understand the difference between module sources (registry, git, local) - Understand module structure and usage - Use module versioning with version constraints |
| Write Terraform Configurations | 14% | - Use output values to expose resource attributes - Understand and use local values (locals) - Understand input variables (variables, data sources) - Write Terraform configurations with appropriate resource declarations - Use data sources to fetch information |
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NEW QUESTION # 134
You can access state stored with the local backend by using terraform_remote_state data source.
Answer: B
Explanation:
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)
NEW QUESTION # 135
Which command must you first run before performing further Terraform operations in a working directory?
Answer: B
Explanation:
terraform init is the first command that should be run after writing a new Terraform configuration or cloning an existing one from version control. It initializes a working directory containing Terraform configuration files and downloads any required providers and modules. The other commands are used for different purposes, such as importing existing resources, switching between workspaces, generating execution plans, etc.
NEW QUESTION # 136
_______backends support state locking.
Answer: A
Explanation:
Some backends support state locking, which prevents other users from modifying the state file while a Terraform operation is in progress. This prevents conflicts and data loss. Not all backends support this feature, and you can check the documentation for each backend type to see if it does.
NEW QUESTION # 137
You are working on some new application features and you want to spin up a copy of your production deployment to perform some quick tests. In order to avoid having to configure a new state backend, what open source Terraform feature would allow you create multiple states but still be associated with your current code?
Answer: E
Explanation:
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
NEW QUESTION # 138
Which of these statements about Terraform Cloud workspaces is false?
Answer: A
Explanation:
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
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