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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining Infrastructure | 5-8% | - Import existing resources, troubleshooting and logging |
| Topic 2: Core Terraform Workflow | 18-22% | - Validate, format and manage execution plans - init, plan, apply, destroy commands |
| Topic 3: Terraform Fundamentals | 15-18% | - Configuration basics, state purpose and structure - Installation, versioning and providers management |
| Topic 4: Terraform Configuration | 18-22% | - Expressions, functions, dependencies and sensitive data - Resources, data sources, variables, outputs |
| Topic 5: HCP Terraform | 8-10% | - Workspaces, projects, collaboration and governance - CI/CD integration and enterprise features |
| Topic 6: Terraform State Management | 10-12% | - Local vs remote backends, state locking - State inspection, drift detection and security |
| Topic 7: Terraform Modules | 10-12% | - Input variables, outputs and composition - Module sources, versioning and reusability |
| Topic 8: Infrastructure as Code (IaC) with Terraform | 12-15% | - Concept of IaC and its benefits - Terraform role in multi-cloud, hybrid and service-agnostic workflows |
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NEW QUESTION # 151
Which argument can you set on a module block to prevent Terraform from updating the module's configuration during an init or get operation?
Answer: A
Explanation:
Rationale for Correct answer: Setting the module version (for registry modules) pins the module release Terraform will use. By pinning the version, Terraform will not "update" the module to newer releases during terraform init -upgrade or terraform get -update unless you change the version constraint. This is the standard way to control module updates and keep module code stable across runs.
Analysis of Incorrect Options (Distractors):
B (lifecycle): lifecycle is for resources, not module blocks.
C (count): count controls how many module instances are created; it doesn't control module source updates.
D (source): source tells Terraform where the module comes from; it doesn't prevent updates by itself (a VCS/ref pin would be done in the source string, but the module block argument that achieves this in the typical module workflow is version for registry modules).
Key Concept: Module version pinning to control module upgrades.
Reference:
NEW QUESTION # 152
Which of the following command would be use to access all of the attributes and details of a resource managed by Terraform?
Answer: C
Explanation:
This is the command that you would use to access all of the attributes and details of a resource managed by Terraform, by providing the resource address as an argument. For example, terraform state show 'aws_instance.example' will show you all the information about the AWS instance named example.
NEW QUESTION # 153
The exhibit below shows part of a Terraform configuration you have been asked to update. The name of the Azure Virtual Network should be set to the name of the resource group followed by a dash and the word vnet.
Exhibit:
data " azurerm_resource_group " " example " {
name = var.resource_group_name
}
resource " azurerm_virtual_network " " example " {
name = ______________________
}
Which expression fulfills this requirement?
Answer: A
Explanation:
Detailed Explanation:
* Rationale for Correct Answer: The resource group is declared as a data source, so its name is referenced with data.azurerm_resource_group.example.name. Appending -vnet creates the required virtual network name. Option A correctly produces a string such as my-resource-group-vnet.
* Analysis of Incorrect Options (Distractors):
* B. Incorrect. concat() is used to concatenate lists, not strings.
* C. Incorrect. join() expects a separator and a list of strings, such as join( " - " , [var.
resource_group_name, " vnet " ]). The syntax shown is invalid.
* D. Incorrect. This references a managed resource named azurerm_resource_group.example, but the exhibit shows a data source named data.azurerm_resource_group.example.
* Key Concept: Referencing data source attributes and using string interpolation/concatenation in Terraform expressions.
Reference: Terraform Objective Domain: Read, Generate, and Modify Configurations
NEW QUESTION # 154
Your team often uses API calls to create and manage cloud infrastructure. In what ways does Terraform differ from conventional infrastructure management approaches?
Answer: D
Explanation:
Rationale for Correct answer: Terraform uses a declarative approach: you define the desired end state of infrastructure in configuration files that can be version-controlled and repeatedly applied. Terraform then computes an execution plan to reach that state. This is a key distinction from ad-hoc API calls or hand-written scripts that typically manage infrastructure in a more imperative and less state-aware way.
Analysis of Incorrect Options (Distractors):
B: Incorrect because Terraform is not "merely a wrapper." It provides a workflow (state, diff/plan, dependency graph, drift detection) that fundamentally changes how infrastructure is managed.
C: Incorrect because Terraform does not replace provider APIs; providers still use the underlying cloud/service APIs.
D: Incorrect because Terraform is primarily declarative, not imperative scripting to force a specific order (ordering is derived from dependencies).
Key Concept: Declarative desired-state configuration, plan/apply workflow, and version-controlled IaC.
Reference:
NEW QUESTION # 155
Your team adopts AWS CloudFormation as the standardized method for provisioning public cloud resources.
Which scenario presents a challenge for your team?
Answer: D
Explanation:
Detailed Explanation:
* Rationale for Correct answer: AWS CloudFormation is a service specifically designed to provision and manage infrastructure within AWS only . It does not support multi-cloud environments such as Microsoft Azure. Therefore, attempting to deploy infrastructure into Azure using CloudFormation presents a clear limitation and challenge. This aligns with Terraform's core value proposition: multi- cloud and provider-agnostic infrastructure management , which overcomes this limitation.
* Analysis of Incorrect Options (Distractors):
* A. Building a reusable codebase that can deploy resources into any AWS region. Incorrect because CloudFormation supports reusable templates and can deploy across AWS regions without issue.
* B. Managing a new application stack built on AWS-native services. Incorrect because CloudFormation is purpose-built for AWS-native services and handles this scenario effectively.
* D. Automating a manual, web console-based provisioning process. Incorrect because CloudFormation is specifically designed to automate infrastructure provisioning, replacing manual console operations.
* Key Concept: Cloud-specific vs multi-cloud Infrastructure as Code tools - Terraform supports multiple providers, whereas CloudFormation is AWS-only.
Reference: Terraform Objective Domain: Understand Terraform ' s Purpose and Use Cases
NEW QUESTION # 156
......
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