- A
Set `successfulJobsHistoryLimit: 0` — GKE sends an alert when the history is empty
Why wrong: `successfulJobsHistoryLimit` controls how many completed Job records are retained — it has no alerting functionality.
- B
Create a log-based metric on CronJob failure events in Cloud Logging and an alerting policy on that metric
Kubernetes CronJob failures are logged as events in Cloud Logging. A log-based metric counting failure events, combined with a Cloud Monitoring alerting policy, sends notifications when failures occur.
- C
Set `restartPolicy: Always` on the CronJob's Pod template — it will retry until success
Why wrong: CronJob Pod templates must use `restartPolicy: OnFailure` or `Never` — `Always` is invalid for Jobs and doesn't provide alerting.
- D
Enable GKE's built-in CronJob alerting feature in the cluster's Notifications settings
Why wrong: GKE Notifications can alert on specific cluster events (node upgrades, security issues) — CronJob-level failure alerting requires log-based metrics or custom monitoring.
Quick Answer
The answer is to create a log-based metric on CronJob failure events in Cloud Logging and an alerting policy on that metric. This is correct because Google Cloud Logging captures detailed event logs for Kubernetes resources, including CronJob failures, and a log-based metric allows you to count those specific failure events. By then attaching an alerting policy to that metric, you trigger notifications immediately when a failure occurs, bypassing the need to rely on job history or restart policies. On the Google Associate Cloud Engineer exam, this scenario tests your understanding of observability and monitoring within GKE, often appearing as a trap where candidates mistakenly choose options like configuring job restart policies or relying on Kubernetes-native alerts, which do not integrate with Cloud Monitoring. A helpful memory tip is to think "logs first, then alert" — always use Cloud Logging as the source of truth for failure events before setting up your alerting policy.
Google ACE Deploying and implementing a cloud solution Practice Question
This ACE practice question tests your understanding of deploying and implementing a cloud solution. 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 runs a Kubernetes CronJob that performs nightly database cleanup. The job runs at 2 AM UTC. This morning, the team notices the job failed at 2 AM but no one was alerted. How should the team configure alerting for CronJob failures?
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
Create a log-based metric on CronJob failure events in Cloud Logging and an alerting policy on that metric
Option B is correct because Google Cloud Logging captures Kubernetes CronJob failure events, and you can create a log-based metric to count these failures. An alerting policy on that metric then triggers notifications when failures occur, providing a reliable, customizable alerting mechanism that does not depend on job history or restart policies.
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.
- ✗
Set `successfulJobsHistoryLimit: 0` — GKE sends an alert when the history is empty
Why it's wrong here
`successfulJobsHistoryLimit` controls how many completed Job records are retained — it has no alerting functionality.
- ✓
Create a log-based metric on CronJob failure events in Cloud Logging and an alerting policy on that metric
Why this is correct
Kubernetes CronJob failures are logged as events in Cloud Logging. A log-based metric counting failure events, combined with a Cloud Monitoring alerting policy, sends notifications when failures occur.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set `restartPolicy: Always` on the CronJob's Pod template — it will retry until success
Why it's wrong here
CronJob Pod templates must use `restartPolicy: OnFailure` or `Never` — `Always` is invalid for Jobs and doesn't provide alerting.
- ✗
Enable GKE's built-in CronJob alerting feature in the cluster's Notifications settings
Why it's wrong here
GKE Notifications can alert on specific cluster events (node upgrades, security issues) — CronJob-level failure alerting requires log-based metrics or custom monitoring.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume GKE has a native CronJob alerting toggle or that restart policies alone solve monitoring, when in reality you must explicitly create a log-based metric and alerting policy to detect job failures.
Detailed technical explanation
How to think about this question
Under the hood, Kubernetes CronJobs create Job objects, and when a Job fails, an event is emitted with reason 'BackoffLimitExceeded' or 'DeadlineExceeded'. Cloud Logging ingests these events, and a log-based metric counts occurrences with a filter like `resource.type="k8s_cluster" AND jsonPayload.reason="BackoffLimitExceeded"`. The alerting policy then evaluates this metric over a sliding window (e.g., 1 minute) and triggers a notification via Pub/Sub, email, or webhook. This approach works even if the job completes before the alert fires, because the metric captures the event as it happens.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this ACE question test?
Deploying and implementing a cloud solution — This question tests Deploying and implementing a cloud solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a log-based metric on CronJob failure events in Cloud Logging and an alerting policy on that metric — Option B is correct because Google Cloud Logging captures Kubernetes CronJob failure events, and you can create a log-based metric to count these failures. An alerting policy on that metric then triggers notifications when failures occur, providing a reliable, customizable alerting mechanism that does not depend on job history or restart policies.
What should I do if I get this ACE 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.
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Last reviewed: Jun 11, 2026
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