Google PCA Practice Question: Managing and Provisioning a Solution Infrastructure
A data analytics team wants to build a pipeline that processes files from a Cloud Storage bucket, transforms the data, and loads it into BigQuery. They want to trigger the pipeline only when new files arrive. Which THREE services can be used together to achieve this? (Choose 3.)
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 Storage triggers for Cloud Functions
Cloud Functions can be triggered by Cloud Storage events (e.g., object finalize). Cloud Workflows can orchestrate multiple steps. Cloud Build is for CI/CD, not event-driven data processing. Cloud Scheduler is for scheduled jobs, not event triggers. Cloud Run can be invoked by Cloud Functions or eventarc, but the direct trigger from storage is via Cloud Functions or Eventarc.
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 Scheduler
Why it's wrong here
Cloud Scheduler is for scheduled jobs, not event-driven triggers.
- ✓
Cloud Storage triggers for Cloud Functions
Why this is correct
Cloud Functions can be triggered on object creation in Cloud Storage.
- ✗
Cloud Build triggers
Why it's wrong here
Cloud Build triggers are for source code repositories, not for Cloud Storage events.
- ✓
Cloud Workflows
Why this is correct
Cloud Workflows can orchestrate the pipeline steps including loading data into BigQuery.
- ✓
BigQuery Data Transfer Service
Why this is correct
BigQuery Data Transfer Service can load data from Cloud Storage automatically on a schedule or via notifications, though for event-driven triggers, it can be used in conjunction with Cloud Functions.
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
Introduction to Google Cloud Platform
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
CAN
A CAN (Controller Area Network) is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other without a host computer.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCA 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 PCA exam.