This TF-003 practice question tests your understanding of use terraform outside the core workflow. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 company uses Terraform with multiple cloud providers and wants to integrate with their existing CI/CD pipeline. They need to enforce that all infrastructure changes go through code review and automated testing before being applied to production. Which approach best meets these requirements?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Store state in a remote backend and use terraform apply in the pipeline
Why wrong: Does not enforce review.
Configure Terraform Cloud with run triggers and policy checks
Enforces code review and automated testing via workflows.
Use the Terraform CLI in the CI/CD pipeline with remote state
Why wrong: Missing policy enforcement for code review.
Run terraform apply locally after manual approval
Why wrong: No code review enforcement.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Configure Terraform Cloud with run triggers and policy checks
Option B is correct because Terraform Cloud's run triggers and policy checks (e.g., Sentinel) enforce that all infrastructure changes must pass code review and automated testing before being applied. This integrates directly with the CI/CD pipeline by requiring a pull request to trigger a plan, which is then reviewed and approved via Terraform Cloud's governance controls, ensuring no change reaches production without validation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Store state in a remote backend and use terraform apply in the pipeline
Why it's wrong here
Does not enforce review.
Configure Terraform Cloud with run triggers and policy checks
Why this is correct
Enforces code review and automated testing via workflows.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Use the Terraform CLI in the CI/CD pipeline with remote state
Why it's wrong here
Missing policy enforcement for code review.
Run terraform apply locally after manual approval
Why it's wrong here
No code review enforcement.
Common exam traps
HashiCorp often tests the misconception that simply using a remote backend or running terraform apply in a pipeline is sufficient for governance, but the key requirement here is enforced code review and automated testing, which only Terraform Cloud's policy checks and run triggers provide natively.
Detailed technical explanation
Terraform Cloud's run triggers work by monitoring version control system (VCS) events, such as pull request merges, to automatically queue speculative plans. Policy checks using Sentinel or OPA evaluate these plans against defined rules (e.g., 'no public S3 buckets') before allowing an apply, and the 'apply' step requires explicit approval from authorized users via the Terraform Cloud UI or API. This ensures that every change is both code-reviewed (via VCS) and policy-validated, with the pipeline acting as the orchestrator rather than the executor.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the TF-003 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
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FAQ
Use Terraform outside the core workflow — This question tests Use Terraform outside the core workflow — Read the scenario before looking for a memorised answer..
The correct answer is: Configure Terraform Cloud with run triggers and policy checks — Option B is correct because Terraform Cloud's run triggers and policy checks (e.g., Sentinel) enforce that all infrastructure changes must pass code review and automated testing before being applied. This integrates directly with the CI/CD pipeline by requiring a pull request to trigger a plan, which is then reviewed and approved via Terraform Cloud's governance controls, ensuring no change reaches production without validation.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 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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