The answer is the `terraform_remote_state` data source, which is one of the two valid methods for sharing data between Terraform configurations. This approach works by storing shared outputs in a common backend—such as an S3 bucket with DynamoDB locking—and then reading those outputs via the `terraform_remote_state` data source, allowing separate configurations to consume state data without duplicating it or breaking workspace isolation. On the HashiCorp Terraform Associate TF-003 exam, this question tests your understanding of cross-configuration data sharing patterns, often appearing as a multiple-select item where you must distinguish between valid methods and common pitfalls like using hard-coded variables or direct state file access. A frequent trap is confusing `terraform_remote_state` with data sources that read live infrastructure, so remember: this data source reads *state outputs*, not real-time resource attributes. Memory tip: think "remote state reads remote outputs" to keep the purpose clear.
TF-003 Implement and maintain state Practice Question
This TF-003 practice question tests your understanding of implement and maintain state. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Which TWO of the following are valid methods to share data between Terraform configurations?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Store shared data in a common backend and read it via data sources
Option D is correct because storing shared data in a common backend (e.g., an S3 bucket with DynamoDB locking) and reading it via data sources (like the `terraform_remote_state` data source) allows different Terraform configurations to consume outputs from one another without duplicating state or breaking isolation. This pattern is the recommended way to share data across configurations because it leverages the backend's locking and consistency guarantees.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use output variables across configurations
Why it's wrong here
Outputs are not accessible across configurations without remote state.
✗
Use modules to share state
Why it's wrong here
Modules share code, not state.
✗
Use depends_on to pass values
Why it's wrong here
depends_on only affects ordering, not data passing.
✓
Store shared data in a common backend and read it via data sources
Why this is correct
Same as A, but a broader description.
Related concept
Read the scenario before looking for a memorised answer.
✓
Use terraform_remote_state data source
Why this is correct
Allows reading outputs from another state file.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
HashiCorp often tests the misconception that output variables alone can be used across configurations, but they require an explicit data source like `terraform_remote_state` to be consumed externally.
Trap categories for this question
Command / output trap
Outputs are not accessible across configurations without remote state.
Detailed technical explanation
How to think about this question
Under the hood, `terraform_remote_state` retrieves the entire state file from the configured backend (e.g., via the `get` API for S3) and exposes all root-level outputs as read-only attributes. This requires the backend to support state locking and consistency to avoid reading stale data during concurrent operations. A real-world scenario is a multi-environment setup where a network configuration's outputs (e.g., VPC ID) are consumed by an application configuration; using `terraform_remote_state` ensures the application always uses the latest network state without manual variable passing.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Implement and maintain state — This question tests Implement and maintain state — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Store shared data in a common backend and read it via data sources — Option D is correct because storing shared data in a common backend (e.g., an S3 bucket with DynamoDB locking) and reading it via data sources (like the `terraform_remote_state` data source) allows different Terraform configurations to consume outputs from one another without duplicating state or breaking isolation. This pattern is the recommended way to share data across configurations because it leverages the backend's locking and consistency guarantees.
What should I do if I get this TF-003 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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