Valid Terraform-Associate-003 Exam Bootcamp - Terraform-Associate-003 Test Prep

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HashiCorp Terraform-Associate-003 Exam Overview:

Certification Vendor:HashiCorp
Exam Name:HashiCorp Certified: Terraform Associate (003)
Exam Number:Terraform-Associate-003
Exam Duration:60 minutes
Available Languages:English
Real Exam Qty:57
Exam Price:USD 70.50
Exam Format:Multiple select, Multiple choice
Passing Score:Approximately 70%
Related Certifications:HashiCorp Certified: Terraform Authoring & Operations Professional
Certificate Validity Period:2 years
Recommended Training:HashiCorp Official Terraform Associate Preparation
HashiCorp Learn - Terraform
Exam Registration:HashiCorp Certification Registration
PSI Exams Registration
Sample Questions:HashiCorp Terraform-Associate-003 Sample Questions
Exam Way:Online proctored (remote) or in-person at authorized test centers
Pre Condition:Basic terminal/command line skills; basic understanding of cloud infrastructure and architecture; recommended 0–6 months hands-on experience with Terraform
Official Syllabus URL:https://developer.hashicorp.com/terraform/tutorials/certification-003/associate-review-003

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HashiCorp Terraform-Associate-003 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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
  • 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.

HashiCorp Certified: Terraform Associate (003) (HCTA0-003) Sample Questions (Q125-Q130):

NEW QUESTION # 125
If a DevOps team adopts AWS CloudFormation as their standardized method for provisioning public cloud resoruces, which of the following scenarios poses a challenge for this team?

Answer: A


NEW QUESTION # 126
What is the provider for this resource?

Answer: A

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.
References:
* Terraform documentation on providers: Terraform Providers


NEW QUESTION # 127
In Terraform HCL, an object type of object({name=string, age-number}) would match this value.
A)
B)
C)
D)

Answer: D


NEW QUESTION # 128
In Terraform HCL, an object type of object({name=string, age-number}) would match this value.

Answer: C


NEW QUESTION # 129
Which is the best way to specify a tag of v1.0.0 when referencing a module stored in Git (for example.
Git::https://example.com/vpc.git)?

Answer: A

Explanation:
The best way to specify a tag of v1.0.0 when referencing a module stored in Git is to append ?ref=v1.0.0 argument to the source path. This tells Terraform to use a specific Git reference, such as a branch, tag, or commit, when fetching the module source code. For example, source = "git::https://example.com/vpc.git?ref=v1.0.0". This ensures that the module version is consistent and reproducible across different environments. Reference = [Module Sources], [Module Versions]


NEW QUESTION # 130
......

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