- A
Define a 'max_fail_percentage' to abort the update if too many hosts fail.
This ensures the update stops if a critical number of hosts fail, preventing widespread issues.
- B
Use the 'serial' keyword to update a subset of hosts at a time.
This controls the number of hosts updated concurrently, reducing risk.
- C
Use 'strategy: free' to allow hosts to run tasks independently.
Why wrong: The free strategy bypasses the ordered batch control, which can lead to inconsistent states.
- D
Use 'gather_facts: no' to speed up the playbook.
Why wrong: Speeding up does not improve coordination or safety; fact gathering is often needed for conditional logic.
- E
Set 'any_errors_fatal: true' to stop the update on the first failure.
Why wrong: This stops the entire update prematurely, which is not ideal for rolling updates; better to handle failures gracefully.
EX294 Coordinate rolling updates Practice Question
This EX294 practice question tests your understanding of coordinate rolling updates. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 best practices when coordinating rolling updates with Ansible?
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.
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
Define a 'max_fail_percentage' to abort the update if too many hosts fail.
Option A is correct because 'max_fail_percentage' allows you to define a threshold of host failures (as a percentage of the batch size) that, when exceeded, causes Ansible to abort the entire rolling update. This prevents the update from continuing when too many hosts have failed, which could lead to an inconsistent or degraded state across the infrastructure. Option B is correct because the 'serial' keyword controls the number of hosts (or percentage) that Ansible updates in each batch, ensuring that only a subset of hosts is taken out of service at a time, which maintains overall service availability during the rolling update.
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.
- ✓
Define a 'max_fail_percentage' to abort the update if too many hosts fail.
Why this is correct
This ensures the update stops if a critical number of hosts fail, preventing widespread issues.
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 'serial' keyword to update a subset of hosts at a time.
Why this is correct
This controls the number of hosts updated concurrently, reducing risk.
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 'strategy: free' to allow hosts to run tasks independently.
Why it's wrong here
The free strategy bypasses the ordered batch control, which can lead to inconsistent states.
- ✗
Use 'gather_facts: no' to speed up the playbook.
Why it's wrong here
Speeding up does not improve coordination or safety; fact gathering is often needed for conditional logic.
- ✗
Set 'any_errors_fatal: true' to stop the update on the first failure.
Why it's wrong here
This stops the entire update prematurely, which is not ideal for rolling updates; better to handle failures gracefully.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'any_errors_fatal' (which stops on the first failure globally) with 'max_fail_percentage' (which aborts only after a threshold of failures in a batch), leading them to select option E instead of A.
Detailed technical explanation
How to think about this question
The 'serial' keyword works by dividing the inventory into batches; Ansible runs the entire playbook on the first batch, then moves to the next, which is critical for zero-downtime deployments where load balancers must drain connections before taking hosts out of rotation. The 'max_fail_percentage' is evaluated per batch, not globally, so if 10% of a 10-host batch fails (i.e., 1 host), the update aborts; this is often used with 'serial' to ensure that a single bad host doesn't cascade into a full outage. Under the hood, Ansible uses SSH control sockets and forks to manage concurrent connections, and the 'serial' setting directly limits the number of simultaneous forks to the batch size.
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
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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: Define a 'max_fail_percentage' to abort the update if too many hosts fail. — Option A is correct because 'max_fail_percentage' allows you to define a threshold of host failures (as a percentage of the batch size) that, when exceeded, causes Ansible to abort the entire rolling update. This prevents the update from continuing when too many hosts have failed, which could lead to an inconsistent or degraded state across the infrastructure. Option B is correct because the 'serial' keyword controls the number of hosts (or percentage) that Ansible updates in each batch, ensuring that only a subset of hosts is taken out of service at a time, which maintains overall service availability during the rolling update.
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". 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.
About these practice questions
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Last reviewed: Jun 11, 2026
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