Courseiva
← TF-003
Full test
Question 453 of 529
Implement and maintain state →mediumMultiple ChoiceObjective-mapped

TF-003 Implement and maintain state Practice Question

This TF-003 practice question tests your understanding of implement and maintain state. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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.

Exhibit

$ terraform apply -auto-approve
aws_instance.web_server: Modifying... [id=i-0a1b2c3d4e5f6g7h8]
aws_instance.web_server: Modifications complete after 5s [id=i-0a1b2c3d4e5f6g7h8]

Apply complete! Resources: 0 added, 1 changed, 0 destroyed.

$ terraform state show aws_instance.web_server
# aws_instance.web_server:
resource "aws_instance" "web_server" {
    ami           = "ami-0c55b159cbfafe1f0"
    instance_type = "t2.micro"
    tags          = {
        "Name" = "WebServer"
    }
    subnet_id = "subnet-0a1b2c3d4e5f6g7h8"
    vpc_security_group_ids = [
        "sg-0a1b2c3d4e5f6g7h8",
    ]
}

$ terraform state pull | jq '.resources[0].instances[0].attributes_flat'
{
  "ami": "ami-0c55b159cbfafe1f0",
  "instance_type": "t2.micro"
}

Refer to the exhibit. An engineer modifies the instance's tags via the AWS console, then runs 'terraform apply'. The apply output shows 1 change, but the state file still shows the original tags. What is the most likely reason?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Exhibit

$ terraform apply -auto-approve
aws_instance.web_server: Modifying... [id=i-0a1b2c3d4e5f6g7h8]
aws_instance.web_server: Modifications complete after 5s [id=i-0a1b2c3d4e5f6g7h8]

Apply complete! Resources: 0 added, 1 changed, 0 destroyed.

$ terraform state show aws_instance.web_server
# aws_instance.web_server:
resource "aws_instance" "web_server" {
    ami           = "ami-0c55b159cbfafe1f0"
    instance_type = "t2.micro"
    tags          = {
        "Name" = "WebServer"
    }
    subnet_id = "subnet-0a1b2c3d4e5f6g7h8"
    vpc_security_group_ids = [
        "sg-0a1b2c3d4e5f6g7h8",
    ]
}

$ terraform state pull | jq '.resources[0].instances[0].attributes_flat'
{
  "ami": "ami-0c55b159cbfafe1f0",
  "instance_type": "t2.micro"
}

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

✓

The configuration file still has the original tags, so Terraform reverted the manual change. State reflects the configuration.

Terraform refreshes state before applying, so it detects the drift (tags changed outside Terraform) and plans to revert them. After apply, the instance tags are overwritten to match configuration, and state reflects configuration. But the exhibit shows state after apply, so it should show updated tags. However, the state output shows original tags? Let's re-evaluate: The exhibit shows state after apply with original tags, which seems inconsistent. Actually, the apply changed something else? Wait, the question says the engineer modifies tags via console, then apply. The apply output says 1 changed, but state shows original tags. That suggests the change was not about tags; maybe the change was something else (e.g., instance type) and tags were not modified. But the question implies tags were modified. The most likely reason is that the configuration file still has the original tags, so Terraform reverts them. After apply, tags are back to original, so state shows original. That is correct. The question: engineer modifies tags via console, then apply. The apply changes tags back to config, so state shows config tags (original). So answer is that Terraform reverted the manual change.

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.

  • ✗

    The state file was not updated because the apply failed partially.

    Why it's wrong here

    Apply succeeded with 1 changed.

  • ✓

    The configuration file still has the original tags, so Terraform reverted the manual change. State reflects the configuration.

    Why this is correct

    Correct. Terraform's desired state is the configuration, so manual changes are overwritten.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    The state is locked and cannot be updated.

    Why it's wrong here

    No evidence of lock.

  • ✗

    The 'terraform state show' command does not display tags.

    Why it's wrong here

    It does display tags if present.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 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

Got this wrong? Here's your next step.

Identify which TF-003 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Related practice questions

Related TF-003 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Understand IaC concepts practice questions

Practise TF-003 questions linked to Understand IaC concepts.

Understand Terraform basics practice questions

Practise TF-003 questions linked to Understand Terraform basics.

Understand Terraform's purpose practice questions

Practise TF-003 questions linked to Understand Terraform's purpose.

Use Terraform outside the core workflow practice questions

Practise TF-003 questions linked to Use Terraform outside the core workflow.

Interact with Terraform modules practice questions

Practise TF-003 questions linked to Interact with Terraform modules.

Use the core Terraform workflow practice questions

Practise TF-003 questions linked to Use the core Terraform workflow.

Implement and maintain state practice questions

Practise TF-003 questions linked to Implement and maintain state.

Read, generate and modify configuration practice questions

Practise TF-003 questions linked to Read, generate and modify configuration.

TF-003 fundamentals practice questions

Practise TF-003 questions linked to TF-003 fundamentals.

TF-003 scenario practice questions

Practise TF-003 questions linked to TF-003 scenario.

TF-003 troubleshooting practice questions

Practise TF-003 questions linked to TF-003 troubleshooting.

Practice this exam

Start a free TF-003 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

10 questions20 questions30 questions50 questionsTimed 30
TF-003 practice-test guide →Study guide →Browse all practice tests

FAQ

Questions learners often ask

What does this TF-003 question test?

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: The configuration file still has the original tags, so Terraform reverted the manual change. State reflects the configuration. — Terraform refreshes state before applying, so it detects the drift (tags changed outside Terraform) and plans to revert them. After apply, the instance tags are overwritten to match configuration, and state reflects configuration. But the exhibit shows state after apply, so it should show updated tags. However, the state output shows original tags? Let's re-evaluate: The exhibit shows state after apply with original tags, which seems inconsistent. Actually, the apply changed something else? Wait, the question says the engineer modifies tags via console, then apply. The apply output says 1 changed, but state shows original tags. That suggests the change was not about tags; maybe the change was something else (e.g., instance type) and tags were not modified. But the question implies tags were modified. The most likely reason is that the configuration file still has the original tags, so Terraform reverts them. After apply, tags are back to original, so state shows original. That is correct. The question: engineer modifies tags via console, then apply. The apply changes tags back to config, so state shows config tags (original). So answer is that Terraform reverted the manual change.

What should I do if I get this TF-003 question wrong?

Identify which TF-003 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

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 →

How Courseiva writes practice questions · Editorial policy

Keep practising

More TF-003 practice questions

Browse all TF-003 questions →

Last reviewed: Jul 4, 2026

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

Sign in to join the discussion.

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.