Question 434 of 518
Coordinate rolling updatesmediumMultiple ChoiceObjective-mapped

EX294 Coordinate rolling updates Practice Question

This EX294 practice question tests your understanding of coordinate rolling updates. 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.

A company uses Ansible to manage rolling updates of a web server fleet. During a deployment, the playbook fails on one host due to a transient network error, and the rest of the fleet is left in an inconsistent state. Which strategy would best minimize the risk of inconsistency in future rolling updates?

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.

  • Clue: "minimum / minimize"

    Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice
Read the full Ansible explanation →

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

Set max_fail_percentage to 0 in the serial block to abort the rollout on any failure.

Option D is correct because setting `max_fail_percentage: 0` in a rolling update (using `serial`) tells Ansible to abort the entire playbook run if any single host fails. This prevents the rest of the fleet from being updated, avoiding an inconsistent state where some hosts have the new deployment and others do not. It directly addresses the risk of partial rollouts caused by transient errors.

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.

  • Add retries to each task so transient errors are automatically retried.

    Why it's wrong here

    Retries may succeed but do not stop the rollout on persistent failures; inconsistency can still occur.

  • Use a larger serial batch size to complete the rollout faster.

    Why it's wrong here

    Larger batches increase the number of hosts affected by a failure, worsening inconsistency.

  • Set ignore_errors: yes on all tasks to continue despite failures.

    Why it's wrong here

    ignore_errors would mask failures, leading to inconsistency.

  • Set max_fail_percentage to 0 in the serial block to abort the rollout on any failure.

    Why this is correct

    max_fail_percentage aborts the playbook if failure rate exceeds threshold, preventing inconsistency.

    Clue confirmation

    The clue words "best", "minimum / minimize" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse `max_fail_percentage` with `serial` or think that retries (`Option A`) are sufficient to guarantee consistency, when in fact only aborting the rollout on any failure prevents the fleet from reaching an inconsistent mixed state.

Detailed technical explanation

How to think about this question

The `max_fail_percentage` directive is used in conjunction with `serial` (or `throttle`) to define the maximum percentage of hosts in a batch that can fail before Ansible aborts the entire play. When set to 0, any single failure in a batch triggers an immediate abort, preventing further batches from running. Under the hood, Ansible tracks failures per batch and compares the count against the percentage; if exceeded, it raises an error and stops execution. This is critical in rolling updates where state consistency across the fleet is paramount, such as in a load-balanced web server pool where a mix of old and new configurations could cause application errors.

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 practitioner preparing for the EX294 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Related practice questions

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FAQ

Questions learners often ask

What does this EX294 question test?

Coordinate rolling updates — This question tests Coordinate rolling updates — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Set max_fail_percentage to 0 in the serial block to abort the rollout on any failure. — Option D is correct because setting `max_fail_percentage: 0` in a rolling update (using `serial`) tells Ansible to abort the entire playbook run if any single host fails. This prevents the rest of the fleet from being updated, avoiding an inconsistent state where some hosts have the new deployment and others do not. It directly addresses the risk of partial rollouts caused by transient errors.

What should I do if I get this EX294 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "best", "minimum / minimize". 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.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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