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Terraform-Associate-003 Test Cram Review, Terraform-Associate-003 High Passing Score

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HashiCorp Terraform-Associate-003 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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.

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.

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HashiCorp Certified: Terraform Associate (003) (HCTA0-003) Sample Questions (Q184-Q189):

NEW QUESTION # 184
What does this code do?
terraform { required_providers { aws = ">= 3.0" }}

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

Answer: A

Explanation:
From the Terraform Provider Requirements:
">= 3.0" means any versiongreater than or equal to 3.0- including 4.x and beyond.
* A (wrong): Would need >= 3.0, < 4.0
* C/D (wrong): > excludes 3.0 - not what's written.

NEW QUESTION # 185
How can a ticket-based system slow down infrastructure provisioning and limit the ability to scale? Choose two correct answers.

A. Ticket based systems generate a full audit trail of the request and fulfillment process
B. Users can access catalog of approved resources from drop down list in a request form
C. End-users have to request infrastructure changes
D. The more resources your organization needs, the more tickets your infrastructure team has to process

Answer: C

Explanation:
Explanation
These are some of the ways that a ticket-based system can slow down infrastructure provisioning and limit the ability to scale, as they introduce delays, bottlenecks, and manual interventions in the process of creating and modifying infrastructure.

NEW QUESTION # 186
Which configuration consistency errors does terraform validate report?

A. Differences between local and remote state
B. A mix of spaces and tabs in configuration files
C. Declaring a resource identifier more than once
D. Terraform module isn't the latest version

Answer: C

Explanation:
Terraform validate reports configuration consistency errors, such as declaring a resource identifier more than once. This means that the same resource type and name combination is used for multiple resource blocks, which is not allowed in Terraform. For example, resource "aws_instance" "example" {...} cannot be used more than once in the same configuration. Terraform validate does not report errors related to module versions, state differences, or formatting issues, as these are not relevant for checking the configuration syntax and structure.
References = [Validate Configuration], [Resource Syntax]

NEW QUESTION # 187
While attempting to deploy resources into your cloud provider using Terraform, you begin to see some odd behavior and experience slow responses. In order to troubleshoot you decide to turn on Terraform debugging.
Which environment variables must be configured to make Terraform's logging more verbose?

A. TF_LOG_PAIH
B. TF_VAR_log_path
C. TF_LOG
D. TF_VAR_log_level

Answer: C

Explanation:
To make Terraform's logging more verbose for troubleshooting purposes, you must configure theTF_LOG environment variable. This variable controls the level of logging and can be set to TRACE, DEBUG, INFO, WARN, or ERROR, with TRACE providing the most verbose output.References= Detailed debugging instructions and the use of environment variables likeTF_LOGfor increasing verbosity are part of Terraform's standard debugging practices

NEW QUESTION # 188
Which of these actions will prevent two Terraform runs from changing the same state file at the same time?

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

Answer: C

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 # 189
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