The correct practice is to store state remotely and use a version control system with pull requests to review changes before applying. This approach is essential because remote state backends like S3 or Terraform Cloud provide state locking and versioning, preventing concurrent modifications that could corrupt the state file, while the pull request workflow enforces mandatory code review and approval before any `terraform apply` can run. On the HashiCorp Terraform Associate TF-003 exam, this question tests your understanding of combining collaboration controls with state management—a common trap is thinking local state with Git is sufficient, but that fails to prevent direct apply conflicts and lacks locking. Remember the mnemonic: “Remote locks, PRs approve, state stays true.”
TF-003 Understand IaC concepts Practice Question
This TF-003 practice question tests your understanding of understand iac concepts. 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.
A team is adopting Terraform to manage infrastructure. One requirement is that all configuration changes must be reviewed and approved before being applied. The team wants to ensure that the Terraform state file reflects the actual deployed infrastructure at all times. Which practice should they implement to meet these requirements?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Store state remotely and use a version control system with pull requests to review changes before applying.
Storing state remotely (e.g., in S3, Azure Storage, or Terraform Cloud) enables state locking and versioning, which is essential for team collaboration. Using a version control system with pull requests ensures that all configuration changes are reviewed and approved before being applied, meeting the requirement for change control. This combination also ensures the state file accurately reflects deployed infrastructure by preventing concurrent modifications and providing an audit trail.
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.
✗
Store state locally and use a manual approval process outside of Terraform.
Why it's wrong here
Manual approval outside Terraform is not integrated and local state is not shared.
✓
Store state remotely and use a version control system with pull requests to review changes before applying.
Why this is correct
Remote state enables team collaboration and VCS with PRs enforces review.
Related concept
Read the scenario before looking for a memorised answer.
✗
Store state locally and use a shared network drive for team access.
Why it's wrong here
Local state on a network drive can cause corruption and lacks locking.
✗
Have each team member run terraform apply from their local machine after informal discussion.
Why it's wrong here
Local apply bypasses review and risks inconsistent state.
Common exam traps
Common exam trap: answer the scenario, not the keyword
HashiCorp often tests the misconception that local state with manual processes is sufficient for team collaboration, but the trap here is that without remote state and version-controlled review, you cannot guarantee state consistency or enforce an approval gate, leading to drift and conflicts.
Detailed technical explanation
How to think about this question
Remote state backends like S3 with DynamoDB for locking use conditional writes (e.g., DynamoDB's PutItem with ConditionExpression) to enforce exclusive access during terraform apply, preventing the 'concurrent modification' error. Terraform Cloud's Sentinel policies can enforce mandatory approval workflows before apply, and the state file's serial number increments with each change, ensuring the remote state always matches the last approved deployment. In a real-world scenario, a team using GitLab CI with merge request approvals and a remote S3 backend can enforce that only reviewed MRs trigger terraform apply, with state locking preventing race conditions.
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.
Understand IaC concepts — This question tests Understand IaC concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Store state remotely and use a version control system with pull requests to review changes before applying. — Storing state remotely (e.g., in S3, Azure Storage, or Terraform Cloud) enables state locking and versioning, which is essential for team collaboration. Using a version control system with pull requests ensures that all configuration changes are reviewed and approved before being applied, meeting the requirement for change control. This combination also ensures the state file accurately reflects deployed infrastructure by preventing concurrent modifications and providing an audit trail.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A startup is adopting Terraform to manage their cloud infrastructure. They want to ensure that changes to infrastructure are reviewed and approved before being applied. Which practice aligns with Infrastructure as Code principles to achieve this?
medium
✓ A.Implement a Git-based workflow with pull requests and automated plan reviews.
B.Use Terraform workspaces to separate environments and manually apply changes.
C.Store Terraform state files in a version control system to track changes.
D.Encourage developers to run terraform apply directly on production.
Why A: Option C is correct because it incorporates code review and automated validation, core IaC practices. Option A is wrong because state files contain sensitive data and should not be stored in VCS normally; remote backends are recommended. Option B is partially correct but manual apply without review is not best practice. Option D is dangerous as it bypasses review and can lead to unintended changes.
Last reviewed: Jun 30, 2026
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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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