You have thousands of existing cloud resources to manage with Terraform. Which bulk import strategy is most efficient and scalable?
Think about automation and speed when importing many resources.
Running imports in parallel batches automates the process and speeds it up, making it scalable for thousands of resources. Manual one-by-one imports are slow. Skipping import loses existing state. Deleting resources is risky and unnecessary.
You want to import multiple AWS S3 buckets into Terraform state using a script. Which command snippet correctly imports all buckets listed in a file named buckets.txt?
Consider how to loop over each bucket name and run import separately.
Option B loops over each bucket name from the file and runs terraform import for each, which is the correct way. Other options misuse terraform import syntax or do not loop.
What happens if you run terraform import on a resource that is not defined in your Terraform configuration files?
Think about how Terraform manages state versus configuration.
Terraform allows importing resources into state even if no configuration exists yet. However, without configuration, Terraform ignores the resource during plan and apply. It does not error or create config automatically.
Which security risk is most relevant when performing bulk import of existing cloud resources into Terraform state?
Consider what credentials and data are needed to run import commands safely.
Bulk import requires credentials with read access to resources. If scripts or logs expose these credentials, it risks leakage. Terraform import does not overwrite permissions, disable encryption, or delete resources.
When importing thousands of resources in bulk, what is the best practice to ensure Terraform state consistency and avoid conflicts?
Think about how Terraform prevents state corruption during concurrent operations.
Terraform uses state locking to prevent concurrent writes. Locking the remote state backend and running imports sequentially or in controlled batches avoids conflicts and corruption. Disabling locking or concurrent writes risks state corruption. Manual merges are error-prone.