TA-003-P PDF Dumps 2025 Exam Questions with Practice Test
Dumps for Free TA-003-P Practice Exam Questions
NEW QUESTION # 28
Which configuration consistency errors does terraform validate report?
- A. A mix of spaces and tabs in configuration files
- B. Terraform module isn't the latest version
- C. Declaring a resource identifier more than once
- D. Differences between local and remote state
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. Reference = [Validate Configuration], [Resource Syntax]
NEW QUESTION # 29
How does Terraform determine dependencies between resources?
- A. Terraform requires resource dependencies to be defined as modules and sourced in order
- B. Terraform automatically builds a resource graph based on resources provisioners, special meta- parameters, and the stale file (if present}
- C. Terraform requires resources in a configuration to be listed m the order they will be created to determine dependencies
- D. Terraform requires all dependencies between resources to be specified using the depends_on parameter
Answer: B
Explanation:
This is how Terraform determines dependencies between resources, by using the references between them in the configuration files and other factors that affect the order of operations.
NEW QUESTION # 30
Which two steps are required to provision new infrastructure in the Terraform workflow? Choose two correct answers.
- A. Init
- B. Alidate
- C. Import
- D. Plan
- E. apply
Answer: A,E
Explanation:
The two steps that are required to provision new infrastructure in the Terraform workflow are init and apply. The terraform init command initializes a working directory containing Terraform configuration files.
It downloads and installs the provider plugins that are needed for the configuration, and prepares the backend for storing the state. The terraform apply command applies the changes required to reach the desired state of the configuration, as described by the resource definitions in the configuration files. It shows a plan of the proposed changes and asks for confirmation before making any changes to the infrastructure. Reference = [The Core Terraform Workflow], [Initialize a Terraform working directory with init], [Apply Terraform Configuration with apply]
NEW QUESTION # 31
Which of these statements about Terraform Cloud workspaces is false?
- A. They can securely store cloud credentials
- B. They have role-based access controls
- C. Plans and applies can be triggered via version control system integrations
- D. You must use the CLI to switch between workspaces
Answer: D
Explanation:
The statement that you must use the CLI to switch between workspaces is false. Terraform Cloud workspaces are different from Terraform CLI workspaces. Terraform Cloud workspaces are required and represent all of the collections of infrastructure in an organization. They are also a major component of role-based access in Terraform Cloud. You can grant individual users and user groups permissions for one or more workspaces that dictate whether they can manage variables, perform runs, etc. You can create, view, and switch between Terraform Cloud workspaces using the Terraform Cloud UI, the Workspaces API, or the Terraform Enterprise Provider5. Terraform CLI workspaces are optional and allow you to create multiple distinct instances of a single configuration within one working directory. They are useful for creating disposable environments for testing or experimenting without affecting your main or production environment. You can create, view, and switch between Terraform CLI workspaces using the terraform workspace command6. The other statements about Terraform Cloud workspaces are true.
They have role-based access controls that allow you to assign permissions to users and teams based on their roles and responsibilities. You can create and manage roles using the Teams API or the Terraform Enterprise Provider7. Plans and applies can be triggered via version control system integrations that allow you to link your Terraform Cloud workspaces to your VCS repositories. You can configure VCS settings, webhooks, and branch tracking to automate your Terraform Cloud workflow8. They can securely store cloud credentials as sensitive variables that are encrypted at rest and only decrypted when needed. You can manage variables using the Terraform Cloud UI, the Variables API, or the Terraform Enterprise Provider9. Reference = [Workspaces]5, [Terraform CLI Workspaces]6, [Teams and Organizations]7, [VCS Integration]8, [Variables]9
NEW QUESTION # 32
Why does this backend configuration not follow best practices?
- A. An alias meta-argument should be included in backend blocks whenever possible
- B. You should use the local enhanced storage backend whenever possible
- C. You should not store credentials in Terraform configuration
- D. The backend configuration should contain multiple credentials so that more than one user can execute terraform plan and terraform apply
Answer: C
Explanation:
This is a bad practice, as it exposes your credentials to anyone who can access your configuration files or state files. You should use environment variables, credential files, or other mechanisms to provide credentials to Terraform.
NEW QUESTION # 33
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)?
- A. Append pref=v1.0.0 argument to the source path
- B. Nothing modules stored on GitHub always default to version 1.0.0
- C. Add version = "1.0.0" parameter to module block
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 # 34
How could you reference an attribute from the vsphere_datacenter data source for use with the datacenter_id argument within the vsphere_folder resource in the following configuration?
- A. Data.vsphere_datacenter.DC.id
- B. Data,dc,id
- C. Data.vsphere_datacenter,dc
- D. Vsphere_datacenter.dc.id
Answer: A
Explanation:
The correct way to reference an attribute from the vsphere_datacenter data source for use with the datacenter_id argument within the vsphere_folder resource in the following configuration is data.vsphere_datacenter.dc.id. This follows the syntax for accessing data source attributes, which is data.TYPE.NAME.ATTRIBUTE. In this case, the data source type is vsphere_datacenter, the data source name is dc, and the attribute we want to access is id. The other options are incorrect because they either use the wrong syntax, the wrong punctuation, or the wrong case. Reference = [Data Source:
vsphere_datacenter], [Data Source: vsphere_folder], [Expressions: Data Source Reference]
NEW QUESTION # 35
Which of the following command would be use to access all of the attributes and details of a resource managed by Terraform?
- A. Terraform state list provider_type_name
- B. Terraform get provider_type_name
- C. Terraform state list
- D. Terraform state show ' provider_type_name
Answer: D
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 # 36
When do changes invoked by terraform apply take effect?
- A. Immediately
- B. Once the resource provider has fulfilled the request
- C. After Terraform has updated the state file
- D. None of the above are correct
Answer: B
Explanation:
Changes invoked by terraform apply take effect once the resource provider has fulfilled the request, not after Terraform has updated the state file or immediately. The state file is only a reflection of the real resources, not a source of truth.
NEW QUESTION # 37
When using multiple configuration of the same Terraform provider, what meta-argument must you include in any non-default provider configurations?
- A. Depends_on
- B. Alias
- C. name
- D. Id
Answer: B
Explanation:
This is the meta-argument that you must include in any non-default provider configurations, as it allows you to give a friendly name to the configuration and reference it in other parts of your code. The other options are either invalid or irrelevant for this purpose.
NEW QUESTION # 38
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.
- B.
- C.
- D.
Answer: B
NEW QUESTION # 39
Which of the following is not a valid Terraform variable type?
- A. array
- B. list
- C. nap
- D. string
Answer: A
Explanation:
This is not a valid Terraform variable type. The other options are valid variable types that can store different kinds of values2.
NEW QUESTION # 40
What does the default "local" Terraform backend store?
- A. Provider plugins
- B. State file
- C. tfplan files
- D. Terraform binary
Answer: B
Explanation:
The default "local" Terraform backend stores the state file in a local file named terraform.tfstate, which can be used to track and manage the state of your infrastructure3.
NEW QUESTION # 41
When should you use the force-unlock command?
- A. apply failed due to a state lock
- B. You have a high priority change
- C. Automatic unlocking failed
- D. You see a status message that you cannot acquire the lock
Answer: C
Explanation:
You should use the force-unlock command when automatic unlocking failed. Terraform will lock your state for all operations that could write state, such as plan, apply, or destroy. This prevents others from acquiring the lock and potentially corrupting your state. State locking happens automatically on all operations that could write state and you won't see any message that it is happening. If state locking fails, Terraform will not continue. You can disable state locking for most commands with the - lock flag but it is not recommended. If acquiring the lock is taking longer than expected, Terraform will output a status message. If Terraform doesn't output a message, state locking is still occurring if your backend supports it. Terraform has a force-unlock command to manually unlock the state if unlocking failed. Be very careful with this command. If you unlock the state when someone else is holding the lock it could cause multiple writers. Force unlock should only be used to unlock your own lock in the situation where automatic unlocking failed. To protect you, the force-unlock command requires a unique lock ID. Terraform will output this lock ID if unlocking fails. This lock ID acts as a nonce, ensuring that locks and unlocks target the correct lock. The other situations are not valid reasons to use the force-unlock command. You should not use the force-unlock command if you have a high priority change, if apply failed due to a state lock, or if you see a status message that you cannot acquire the lock. These situations indicate that someone else is holding the lock and you should wait for them to finish their operation or contact them to resolve the issue. Using the force-unlock command in these cases could result in data loss or inconsistency.
Reference = [State Locking], [Command: force-unlock]
NEW QUESTION # 42
Which option cannot be used to keep secrets out of Terraform configuration files?
- A. secure string
- B. A Terraform provider
- C. Environment variables
- D. A -var flag
Answer: A
Explanation:
A secure string is not a valid option to keep secrets out of Terraform configuration files. A secure string is a feature of AWS Systems Manager Parameter Store that allows you to store sensitive data encrypted with a KMS key. However, Terraform does not support secure strings natively and requires a custom data source to retrieve them. The other options are valid ways to keep secrets out of Terraform configuration files. A Terraform provider can expose secrets as data sources that can be referenced in the configuration. Environment variables can be used to set values for input variables that contain secrets. A
-var flag can be used to pass values for input variables that contain secrets from the command line or a file. Reference = [AWS Systems Manager Parameter Store], [Terraform AWS Provider Issue #55],
[Terraform Providers], [Terraform Input Variables]
NEW QUESTION # 43
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