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Cloud Digital Leader How Google Cloud Resources Are Managed Practice Question

A company wants to gain visibility into their Google Cloud spending across multiple projects. Which TWO methods allow them to analyze cost data?

⚠ Common exam trap

GCDL often tests the distinction between cost analysis tools and cost monitoring/estimation tools. Candidates might choose budget alerts or Pricing Calculator, but those don't provide analysis of historical spending.

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

✓

Set up billing export to BigQuery.

Option B is correct because exporting billing data to BigQuery gives granular, queryable cost and usage data (via the Cloud Billing export, including detailed usage cost and pricing data) that can be analyzed with SQL across multiple projects linked to the billing account. Option D is correct because the Cost Management dashboard (Cloud Billing reports) provides built-in visibility into spend by project, service, SKU, and labels, allowing cost analysis across projects. Option A is incorrect because Premium Support is a support plan and does not itself provide cost analysis tooling. Option C is incorrect because the Pricing Calculator only estimates future costs for planned configurations, not actual historical spending. Option E is incorrect because budget alerts only notify you when spending approaches or exceeds a threshold; they do not provide analytical breakdowns of cost data.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Upgrade to Premium Support.

    Why it's wrong here

    Upgrade to Premium Support. Premium Support provides technical SLAs, break-fix assistance, and operational guidance, but it does not grant any access to billing data or cost analysis tooling. Support engineers can help you understand a bill after the fact, yet the service itself does not expose dashboards, exports, or query capabilities to analyze spend, so it cannot deliver the required visibility.

  • ✓

    Set up billing export to BigQuery.

    Why this is correct

    Set up billing export to BigQuery. This is the correct approach because it automatically exports detailed usage and cost data into BigQuery, where you can run arbitrary SQL queries to slice the data by service, project, label, or time period. It provides complete, raw billing data for every resource, enabling deep custom analysis beyond what built-in dashboards offer, and supports building unique reports, trend analysis, and anomaly detection.

  • ✗

    Use the Google Cloud Pricing Calculator.

    Why it's wrong here

    Use the Google Cloud Pricing Calculator. The Pricing Calculator is designed for estimating the cost of hypothetical configurations based on assumed usage, not for examining actual cloud spending. It has no connection to your live billing data, so it cannot show historical charges, real utilization, or current cost breakdowns; it answers 'what might this cost?' rather than 'what are we spending?'.

  • ✓

    Use the Cost Management dashboard.

    Why this is correct

    Use the Cost Management dashboard. The Cost Management dashboard in the Google Cloud console presents a ready-to-use, graphical breakdown of current and historical charges, organized by service, SKU, project, and labels. It offers immediate visibility without any SQL or pipeline setup, while still supporting common analysis like monthly trends and cost attribution; however, it is less flexible than exporting the raw data to BigQuery for custom queries.

  • ✗

    Set up budget alerts.

    Why it's wrong here

    Set up budget alerts. Budget alerts send notifications when actual or forecasted spending reaches a defined threshold, acting as an early-warning system rather than an analysis tool. They inform you that costs are high, but they do not show which resources are driving the spend, how spend is trending over time, or allow you to query the underlying data, so they fail to provide the detailed visibility the company needs.

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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 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.