Cloud Digital Leader Google Cloud Products and Services Practice Question
An organization needs to run a batch process every night that analyzes terabytes of data from Cloud Storage and writes results back to BigQuery. The job is not time-sensitive and can be preempted. Which compute approach is most cost-effective?
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
✓
Compute Engine with preemptible VMs
Preemptible VMs on Compute Engine offer the lowest cost for fault-tolerant batch workloads because they are up to 80% cheaper than regular VMs but can be terminated at any time. Cloud Run has a request timeout limit and is not ideal for long-running batch jobs. GKE with preemptible nodes is also cost-effective but requires Kubernetes expertise and is more complex than simply using preemptible VMs. Cloud Functions has a timeout limit.
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 Functions with background trigger
Why it's wrong here
Cloud Functions with a background trigger is unsuitable for a long-running nightly batch process because Cloud Functions has a hard execution timeout: background functions are limited to 60 minutes, and HTTP functions to 9 minutes. A batch job that processes large datasets or performs complex computations can easily exceed these limits, leading to abrupt termination. Additionally, Cloud Functions is designed for event-driven, short-lived, and high-frequency workloads, not for sustained compute jobs, so it would be misapplied here and less cost-effective than a preemptible VM.
- ✓
Compute Engine with preemptible VMs
Why this is correct
Preemptible VMs on Compute Engine are the right choice for a nightly batch process because they are up to 80% cheaper than standard VMs, which directly reduces operational cost for a recurring, interruptible workload. Since batch jobs are inherently fault-tolerant—they can be checkpointed or simply rerun from the start—the risk of preemption is acceptable, and Google Cloud automatically restarts the VM if capacity is available. For a simple scheduled job, a preemptible VM is a low-complexity, high-savings solution.
- ✗
Google Kubernetes Engine with standard nodes
Why it's wrong here
Google Kubernetes Engine with standard nodes would solve the batch job, but it introduces unnecessary operational overhead for a simple nightly task. You must provision and manage a cluster, define deployments and jobs, and generally you pay for the full node (even if the batch job uses only a fraction of its resources). Standard nodes are not preemptible, so you lose the up to 80% cost savings that preemptible VMs offer, making GKE a more expensive and more complex alternative for this use case.
- ✗
Cloud Run with manual scaling
Why it's wrong here
Cloud Run has a request timeout of 60 minutes (up to 60 minutes for async) and is not optimized for long-running batch jobs; also cost is per request, not per compute time for sustained use.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
Learn chapter
Cloud Digital Transformation
Key term
Cloud Functions
Cloud Functions are serverless compute services that let you run single-purpose code in response to events without managing servers.
Key term
Anthos
Anthos is a Google Cloud platform that lets you run applications consistently across different computing environments, like on-premises data centers and multiple public clouds.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL 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 GCDL exam.