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HashiCorp Terraform-Associate-003 Exam Syllabus Topics:

Topic
Details

Topic 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.

Topic 2

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 3

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 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.

Topic 5

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.

HashiCorp Certified: Terraform Associate (003) (HCTA0-003) Sample Questions (Q17-Q22):

NEW QUESTION # 17
You are writing a child Terraform module that provisions an AWS instance. You want to reference the IP address returned by the child module in the root configuration. You name the instance resource "main'.
Which of these is the correct way to define the output value?

A. Option C
B. Option A
C. Option D
D. Option B

Answer: B

Explanation:
According to theofficial Terraform documentationhere:
#Terraform Docs - Declaring an Output Value
In Terraform 0.12 and later, you can directly use expressions in outputs without interpolation syntax:
output "instance_ip_addr" {
value = aws_instance.server.private_ip
}
This aligns perfectly withOption A:
output "instance_ip_addr" {
value = aws_instance.main.private_ip
}
Why not the others?
* #Option B: Incorrect syntax. "${main.private_ip}" is referencing main as if it were a global variable or resource, but it isn't defined. Plus, the output name is oddly written as aws_instance.instance_ip_addr, which is not a valid identifier format.
* #Option C: Although valid in older versions (<= 0.11), interpolation with "${}" isdeprecatedin Terraform 0.12+. The docs clearly advise using direct expressions instead.
* #Option D: Terraform hasno return statement; this is syntactically invalid in Terraform's HCL.

NEW QUESTION # 18
Which of these actions will prevent two Terraform runs from changing the same state file at the same time?

A. Delete the state before running Terraform
B. Configure state locking for your state backend
C. Refresh the state after running Terraform
D. Run Terraform with parallelism set to 1

Answer: A

Explanation:
To prevent two Terraform runs from changing the same state file simultaneously, state locking is used. State locking ensures that when one Terraform operation is running, others will be blocked from making changes to the same state, thus preventing conflicts and data corruption. This is achieved by configuring the state backend to support locking, which will lock the state for all operations that could write to the state.References
= This information is supported by Terraform's official documentation, which explains the importance of state locking and how it can be configured for different backends to prevent concurrent state modifications .

NEW QUESTION # 19
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?

A. Terraform local values
B. None of the above
C. Terraform workspaces
D. Terraform modules
E. Terraform data sources

Answer: C

Explanation:
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 # 20
What is the provider for this resource?

A. Vpc
B. aws
C. Test
D. Main

Answer: B

Explanation:
In the given Terraform configuration snippet:
resource "aws_vpc" "main" {
name = "test"
}
The provider for the resource aws_vpc is aws. The provider is specified by the prefix of the resource type. In this case, aws_vpc indicates that the resource type vpc is provided by the aws provider.
Reference:
Terraform documentation on providers: Terraform Providers

NEW QUESTION # 21
How would you reference the "name'' value of the second instance of this resource?

A. Aws_instance,web,* , name
B. aws_instance-web(1)
C. aws_instance.web(2),name
D. aws_instance_web(1),name
E. element(aws_instance.web, 2)

Answer: D

Explanation:
In Terraform, when you use the count meta-argument, you can reference individual instances using an index. The indexing starts at 0, so to reference the "name" value of the second instance, you would use aws_instance.web[1].name. This syntax allows you to access the properties of specific instances in a list generated by the count argument.
References:
Terraform documentation on count and accessing resource instances: Terraform Count

NEW QUESTION # 22
......

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