Google ACE Setting Up a Cloud Solution Environment Practice Question
An organization has multiple GCP projects and wants to centralize billing analysis across all projects. They need to export detailed billing data (e.g., cost per SKU per project) to a BigQuery dataset. Which billing export option should they configure?
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
✓
Export detailed billing data to BigQuery
The standard usage cost export to BigQuery provides detailed billing data for analysis.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Export to CSV to Cloud Storage
Why it's wrong here
While Cloud Billing can write CSV files to Cloud Storage, this method provides only daily snapshot files and no native SQL querying capability. To centralize and analyze billing across multiple projects, you would need to import those CSVs into a data warehouse or process them with Dataflow, adding operational overhead. BigQuery export is purpose-built for this, offering live, queryable tables with no extra ETL.
- ✗
Export to Cloud Billing report
Why it's wrong here
Cloud Billing reports are an in-console visualization tool that aggregates your costs into charts and graphs, but they do not produce a machine-readable export of the underlying raw data. Reports provide historical views and basic filtering, yet they cannot be accessed via API, scheduled, or connected to an external analytics platform. For a centralized dataset that can be queried programmatically, you need BigQuery export instead of a static report.
- ✗
Export to a Pub/Sub topic
Why it's wrong here
Cloud Billing does not offer a native Pub/Sub export for detailed billing data; the service only supports BigQuery or Cloud Storage for exporting detailed cost data. Pub/Sub is used exclusively for budget notifications, such as alerting when spend exceeds thresholds, and it does not carry the full resource-level line items needed for centralized analysis. Enabling BigQuery export remains the only supported streaming-like integration with a data warehouse.
- ✓
Export detailed billing data to BigQuery
Why this is correct
Exporting detailed billing data to BigQuery is the correct approach because it automatically creates and maintains tables like `gcp_billing_export_v1` within your project's BigQuery dataset. Every project that shares the billing account is included, and you can immediately run SQL queries to analyze costs by project, service, SKU, or label, as well as build dashboards and scheduled queries. This export is the official Google-recommended method for centrally managing and analyzing billing information across an organization.
Go deeper
Related to this question
Learn chapter
BigQuery and Pub/Sub
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.
Key term
Organization
An Organization is a top-level container in Google Cloud that represents your company or entities and serves as the root node for all your cloud resources, policies, and access control.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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