- A
Cloud Run Services with a timeout set to 24 hours
Why wrong: Cloud Run Services are designed for HTTP request serving — they scale to zero between requests, not for batch jobs that run to completion.
- B
Cloud Run Jobs triggered by Cloud Scheduler
Cloud Run Jobs execute a containerized batch task to completion. Triggered by Cloud Scheduler, they run nightly, process the files, and exit — no HTTP server needed.
- C
Cloud Functions with a 540-second maximum timeout
Why wrong: Cloud Functions have a maximum timeout of 60 minutes (3600 seconds for 2nd gen) — batch jobs requiring longer processing or complex execution flows are better served by Cloud Run Jobs.
- D
App Engine Standard with a background service
Why wrong: App Engine Standard is designed for HTTP-serving applications with a request/response model — not the right fit for a nightly batch script.
Quick Answer
The correct choice is Cloud Run Jobs triggered by Cloud Scheduler because this service is purpose-built for batch containerized script workloads that run to completion without needing an HTTP endpoint. Unlike Cloud Run services, which require a web server to handle incoming requests, Cloud Run Jobs execute a containerized script once and exit when done, making them ideal for nightly batch processing of files. On the Google Associate Cloud Engineer exam, this scenario tests your ability to distinguish between compute services designed for continuous serving versus those for short-lived, task-oriented jobs. A common trap is selecting Cloud Run services or App Engine, which both require HTTP endpoints and are optimized for request-response patterns, not batch processing. Remember the key distinction: if the workload runs, finishes, and goes away, think Jobs; if it listens and waits, think services. A useful memory tip is “Jobs just run and done, services serve and wait.”
Google ACE Planning and configuring a cloud solution Practice Question
This ACE practice question tests your understanding of planning and configuring a cloud solution. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. 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 needs to run a simple containerized script that processes a batch of files once per night and exits when done — no HTTP endpoint needed. Which GCP service is most appropriate?
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
Cloud Run Jobs triggered by Cloud Scheduler
Cloud Run Jobs is the correct choice because it is designed for batch workloads that run to completion, with no requirement for an HTTP endpoint. It can handle long-running tasks (up to 24 hours) and can be triggered by Cloud Scheduler for nightly execution, making it ideal for processing files once per night.
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.
- ✗
Cloud Run Services with a timeout set to 24 hours
Why it's wrong here
Cloud Run Services are designed for HTTP request serving — they scale to zero between requests, not for batch jobs that run to completion.
- ✓
Cloud Run Jobs triggered by Cloud Scheduler
Why this is correct
Cloud Run Jobs execute a containerized batch task to completion. Triggered by Cloud Scheduler, they run nightly, process the files, and exit — no HTTP server needed.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Cloud Functions with a 540-second maximum timeout
Why it's wrong here
Cloud Functions have a maximum timeout of 60 minutes (3600 seconds for 2nd gen) — batch jobs requiring longer processing or complex execution flows are better served by Cloud Run Jobs.
- ✗
App Engine Standard with a background service
Why it's wrong here
App Engine Standard is designed for HTTP-serving applications with a request/response model — not the right fit for a nightly batch script.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the distinction between Cloud Run Services (HTTP-driven, always-on) and Cloud Run Jobs (batch, run-to-completion), leading candidates to incorrectly choose Cloud Run Services for batch workloads due to familiarity with the 'Cloud Run' name.
Detailed technical explanation
How to think about this question
Cloud Run Jobs uses a job execution model where each task runs in a container until completion, supporting up to 10,000 tasks per job and a 24-hour timeout per task. Under the hood, it leverages the same Knative serving layer as Cloud Run but with a different resource lifecycle—jobs are not kept alive for HTTP traffic. A real-world scenario is a nightly ETL pipeline that processes terabytes of CSV files; using Cloud Run Jobs with Cloud Scheduler ensures cost efficiency by only paying for compute time during execution.
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
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.
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FAQ
Questions learners often ask
What does this ACE question test?
Planning and configuring a cloud solution — This question tests Planning and configuring a cloud solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Cloud Run Jobs triggered by Cloud Scheduler — Cloud Run Jobs is the correct choice because it is designed for batch workloads that run to completion, with no requirement for an HTTP endpoint. It can handle long-running tasks (up to 24 hours) and can be triggered by Cloud Scheduler for nightly execution, making it ideal for processing files once per night.
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 30, 2026
This ACE practice question is part of Courseiva's free Google Cloud 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 ACE exam.
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