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How Google Cloud Resources Are ManagedhardMultiple ChoiceObjective-mapped

Cloud Digital Leader How Google Cloud Resources Are Managed Practice Question

An organization has multiple projects with many underutilized Compute Engine instances. They want to identify idle instances and generate recommendations for downsizing or deleting them. The finance team wants to see cost savings estimates. Which tool should they use?

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

Active Assist

Active Assist includes recommendations for rightsizing and idle resources, providing cost savings estimates. The Cost Management dashboard shows actual costs, not recommendations.

Answer analysis

Option-by-option breakdown

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

  • Google Cloud Pricing Calculator

    Why it's wrong here

    The Google Cloud Pricing Calculator is a pre-deployment estimation tool that lets you cost out hypothetical configurations based on what you plan to build. It cannot ingest actual runtime utilization metrics or billing history, so it has no way to identify existing underutilized resources or recommend specific rightsizing actions. Its purpose is to forecast likely costs before you commit, not to analyze and optimize current cloud spend.

  • Billing export to BigQuery

    Why it's wrong here

    Billing export to BigQuery is a powerful mechanism for streaming billing details into a data warehouse where you can run arbitrary SQL queries for custom cost analytics. While it can be used to build your own logic to detect underutilized resources—for example, by joining billing data with inventory exports—it provides analysis capability only, not management recommendations. Out of the box, it does not generate actionable suggestions like 'shut down' or 'resize to n1-standard-2,' so it is not the recommended tool for directly answering this optimization need.

  • Active Assist

    Why this is correct

    Active Assist, which is built on the Google Cloud Recommender, provides prescriptive recommendations specifically for underutilized resources, including idle VM and Cloud SQL instances as well as VM rightsizing recommendations. It analyzes actual utilization metrics (such as CPU and memory over a 7- or 14-day window) alongside machine type capacities, then ranks opportunities with estimated monthly cost savings. Because Active Assist is designed to identify precisely the kind of waste described in the scenario—underutilized resources across many projects—it is the correct, ready-to-use tool for this situation.

  • Cost Management dashboard

    Why it's wrong here

    The Cost Management dashboard in the Google Cloud console gives you a high-level view of current and forecasted spending, including breakdowns by project, service, or label. It is excellent for visualizing where money is going and spotting anomalies in aggregate spend, but it does not perform per-resource utilization analysis or generate optimization recommendations. Without the ability to drill into individual virtual machine utilization and suggest a smaller machine size or a shutdown action, it falls short of the actionable guidance needed to address underutilized resources.

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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.