HASHICORP TERRAFORM-ASSOCIATE-003 CERTIFICATION TRAINING & NEW TERRAFORM-ASSOCIATE-003 TEST TOPICS

HashiCorp Terraform-Associate-003 Certification Training & New Terraform-Associate-003 Test Topics

HashiCorp Terraform-Associate-003 Certification Training & New Terraform-Associate-003 Test Topics

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Tags: Terraform-Associate-003 Certification Training, New Terraform-Associate-003 Test Topics, Latest Terraform-Associate-003 Study Notes, New Terraform-Associate-003 Test Price, Free Terraform-Associate-003 Practice

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HashiCorp Terraform-Associate-003 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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 (Q115-Q120):

NEW QUESTION # 115
You have a list of numbers that represents the number of free CPU cores on each virtual cluster:

What Terraform function could you use to select the largest number from the list?

  • A. top(numcpus)
  • B. ceil (numcpus)
  • C. hight[numcpus]
  • D. max(numcpus)

Answer: D

Explanation:
In Terraform, the max function can be used to select the largest number from a list of numbers. The max function takes multiple arguments and returns the highest one. For the list numcpus = [18, 3, 7, 11, 2], using max(numcpus...) will return 18, which is the largest number in the list.
References:
Terraform documentation on max function: Terraform Functions - max


NEW QUESTION # 116
Which of the following is not a valid siring function in Terraform?

  • A. Split
  • B. choaf
  • C. slice
  • D. join

Answer: B

Explanation:
This is not a valid string function in Terraform. The other options are valid string functions that can manipulate strings in various ways2.


NEW QUESTION # 117
You can configure Terraform to log to a file using the TF_LOG environment variable.

  • A. False
  • B. True

Answer: B

Explanation:
You can configure Terraform to log to a file using the TF_LOG environment variable. This variable can be set to one of the log levels: TRACE, DEBUG, INFO, WARN or ERROR. You can also use the TF_LOG_PATH environment variable to specify a custom log file location. Reference = : Debugging Terraform


NEW QUESTION # 118
Which of these commands makes your code more human readable?

  • A. Terraform fmt
  • B. Terraform output
  • C. Terraform validate
  • D. Terraform show

Answer: A

Explanation:
Explanation
The command that makes your code more human readable is terraform fmt. This command is used to rewrite Terraform configuration files to a canonical format and style, following the Terraform language style conventions and other minor adjustments for readability. The command is optional, opinionated, and has no customization options, but it is recommended to ensure consistency of style across different Terraform codebases. Consistency can help your team understand the code more quickly and easily, making the use of terraform fmt very important. You can run this command on your configuration files before committing them to source control or as part of your CI/CD pipeline. References = : Command: fmt : Using Terraform fmt Command to Format Your Terraform Code


NEW QUESTION # 119
Terraform can only manage resource dependencies if you set them explicitly with the depends_on argument.

  • A. False
  • B. True

Answer: A

Explanation:
Terraform can manage resource dependencies implicitly or explicitly. Implicit dependencies are created when a resource references another resource or data source in its arguments. Terraform can infer the dependency from the reference and create or destroy the resources in the correct order. Explicit dependencies are created when you use the depends_on argument to specify that a resource depends on another resource or module. This is useful when Terraform cannot infer the dependency from the configuration or when you need to create a dependency for some reason outside of Terraform's scope. Reference = : Create resource dependencies : Terraform Resource Dependencies Explained


NEW QUESTION # 120
......

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