Google ACE Planning and Configuring a Cloud Solution Practice Question
A company wants to run a batch job that processes files from a Cloud Storage bucket and writes results to BigQuery. The job runs once daily and can take up to 30 minutes. Which compute option is the most cost-effective and requires the least operational overhead?
⚠ Common exam trap
ACE often tests the distinction between serverless compute options, and candidates mistakenly choose Cloud Functions for any event-driven or scheduled task without considering execution duration limits and batch-oriented design.
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
Cloud Run jobs is designed for containerized batch workloads that run to completion, scaling to zero when idle, so you pay only for the compute consumed during the 30-minute daily run. It requires no cluster management, no VM provisioning, and no function-level timeout concerns, giving the lowest operational overhead and cost for a once-daily batch.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
GKE Autopilot cluster
Why it's wrong here
GKE Autopilot removes node management, but you still must create a cluster and define Kubernetes resources such as Deployments, Jobs, and ConfigMaps. For a daily 30-minute batch job, the overhead of cluster maintenance, RBAC, networking, and upgrade cycles is unnecessary, and the control plane and Autopilot premium costs are incurred even when no workloads run, making it less cost-effective than a serverless batch service.
- ✗
Cloud Functions (2nd gen)
Why it's wrong here
Cloud Functions is fundamentally event-driven and not a job orchestration service; although 2nd gen supports up to a 60-minute timeout and can be triggered via Pub/Sub, you must manage retry policies, dead-letter queues, and concurrency yourself. A scheduled batch that processes files is better served by a purpose-built job runner that can execute a container to completion, rather than forcing a single-function invocation to handle stateful processing.
- ✓
Cloud Run jobs
Why this is correct
Cloud Run jobs directly execute a containerized batch process to completion, scaling to zero immediately after the job finishes, so you pay only for the duration of execution (per-second billing). It supports long-running jobs (up to 24 hours), can be scheduled via Cloud Scheduler, and provides automatic retries, environment configuration, and VPC connectivity without managing servers or clusters. This makes it the most operationally simple and cost-effective option for a daily 30-minute file processing job.
- ✗
Compute Engine with a preemptible VM
Why it's wrong here
Preemptible VMs are up to 60% cheaper but can be reclaimed by Compute Engine at any time, so a file-processing batch may be interrupted mid-run, requiring manual restart and idempotent reprocessing logic. You are responsible for provisioning, OS patching, startup/shutdown scripts, and ensuring the VM shuts down when idle; otherwise you'll be billed for extra uptime, making it an unreliable and operationally heavy choice for a scheduled batch.
Go deeper
Related to this question
Learn chapter
Billing Data Export to BigQuery
Key term
Cloud storage
Cloud storage is a service that lets you save data on remote servers accessed over the internet instead of on your computer's hard drive.
Key term
BigQuery
BigQuery is a fully managed, serverless data warehouse on Google Cloud that lets you run fast SQL queries on massive datasets without managing any infrastructure.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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.