- A
Store outputs in a remote state backend and use terraform_remote_state with appropriate configuration.
This is the standard way to share outputs across root modules.
- B
Use provider data sources (e.g., aws_instance data source) to query existing infrastructure directly.
Data sources can read infrastructure attributes without relying on state.
- C
Use a module block with source = "./path/to/other-config" and reference its outputs.
Why wrong: Module blocks only include subdirectory configurations, not independent root configurations.
- D
Use a terraform_remote_state data source pointing to the remote backend of the other configuration.
terraform_remote_state retrieves outputs from the remote state.
- E
Read the state file directly using terraform state pull and parse in HCL.
Why wrong: State files are JSON, not HCL, and cannot be parsed directly in Terraform configurations.
Quick Answer
The correct answer is to use a terraform_remote_state data source pointing to the remote backend of the other configuration. This method works because Terraform stores root module outputs in a state file, and the terraform_remote_state data source retrieves those outputs by reading the state directly from the configured backend, allowing one configuration to consume values like VPC IDs or resource ARNs from another. On the HashiCorp Terraform Associate TF-003 exam, this question tests your understanding of cross-configuration data sharing, often appearing as a multiple-select item where you must distinguish valid methods from traps like relative paths or direct HCL file reads. A common mistake is assuming you can use local file references across configurations, but terraform_remote_state is the only built-in way to access remote state outputs without manual extraction. Memory tip: think “remote state, remote data” — if the state lives in a backend, you need a data source to bridge the gap.
TF-003 Read, generate and modify configuration Practice Question
This TF-003 practice question tests your understanding of read, generate and modify configuration. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An organization wants to reference outputs from a root module in another Terraform configuration. Which THREE methods are valid for reading those outputs?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Store outputs in a remote state backend and use terraform_remote_state with appropriate configuration.
Options B, C, and D are correct. Option B: terraform_remote_state data source reads outputs from another state. Option C: using data sources from a provider can read infrastructure directly. Option D: outputs.tf in a remote state backend can be referenced via terraform_remote_state. Option A is wrong because relative paths only work within a single configuration. Option E is wrong because partial outputs cannot be extracted from state file directly via HCL.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Store outputs in a remote state backend and use terraform_remote_state with appropriate configuration.
Why this is correct
This is the standard way to share outputs across root modules.
Related concept
Static NAT maps one inside address to one outside address.
- ✓
Use provider data sources (e.g., aws_instance data source) to query existing infrastructure directly.
Why this is correct
Data sources can read infrastructure attributes without relying on state.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Use a module block with source = "./path/to/other-config" and reference its outputs.
Why it's wrong here
Module blocks only include subdirectory configurations, not independent root configurations.
- ✓
Use a terraform_remote_state data source pointing to the remote backend of the other configuration.
Why this is correct
terraform_remote_state retrieves outputs from the remote state.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Read the state file directly using terraform state pull and parse in HCL.
Why it's wrong here
State files are JSON, not HCL, and cannot be parsed directly in Terraform configurations.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related TF-003 NAT questions on configuration and troubleshooting.
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Read, generate and modify configuration — study guide chapter
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Read, generate and modify configuration practice questions
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FAQ
Questions learners often ask
What does this TF-003 question test?
Read, generate and modify configuration — This question tests Read, generate and modify configuration — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Store outputs in a remote state backend and use terraform_remote_state with appropriate configuration. — Options B, C, and D are correct. Option B: terraform_remote_state data source reads outputs from another state. Option C: using data sources from a provider can read infrastructure directly. Option D: outputs.tf in a remote state backend can be referenced via terraform_remote_state. Option A is wrong because relative paths only work within a single configuration. Option E is wrong because partial outputs cannot be extracted from state file directly via HCL.
What should I do if I get this TF-003 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related TF-003 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 24, 2026
This TF-003 practice question is part of Courseiva's free HashiCorp certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the TF-003 exam.
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