Question 370 of 1,000
Scaling with Google Cloud operationsmediumMultiple ChoiceObjective-mapped

Cloud Digital Leader Scaling with Google Cloud operations Practice Question

This GCDL practice question tests your understanding of scaling with google cloud operations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company's cloud costs have increased by 40% over the past quarter. The operations team wants to identify and address the root causes. Which cost optimization strategies should they investigate first?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "first"

    Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

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

Identify idle and underutilized resources (oversized VMs, unused disks, unattached IPs), apply lifecycle policies to storage, and commit to CUDs for stable workloads.

Option B is correct because the first step in cloud cost optimization is to identify and eliminate waste from idle or oversized resources, which is the most common source of cost inefficiency. Applying lifecycle policies to storage and committing to Committed Use Discounts (CUDs) for stable workloads are proven strategies to reduce costs without compromising performance. This approach aligns with Google Cloud's recommended FinOps practices, focusing on immediate, high-impact savings before considering architectural changes.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Immediately upgrade all infrastructure to the latest generation hardware for better efficiency.

    Why it's wrong here

    Upgrading to newer hardware may improve performance but doesn't directly reduce costs — newer generations may cost the same or more. Identifying idle resources and right-sizing is the first step.

  • Identify idle and underutilized resources (oversized VMs, unused disks, unattached IPs), apply lifecycle policies to storage, and commit to CUDs for stable workloads.

    Why this is correct

    These are the highest-impact, quickest-to-implement cost optimizations. Active Assist identifies rightsizing opportunities; lifecycle policies automate storage cost management; CUDs reduce baseline compute costs.

    Clue confirmation

    The clue word "first" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Migrate all workloads to Spot VMs immediately to reduce costs by 90%.

    Why it's wrong here

    Spot VMs are preemptible — unsuitable for production workloads requiring reliability. A wholesale migration to Spot VMs would cause frequent outages.

  • Switch cloud providers to whoever has the lowest advertised list price.

    Why it's wrong here

    Switching providers is expensive (migration costs, retraining, re-architecting). Optimizing current GCP usage typically yields 20-40% savings without migration overhead.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often jump to aggressive cost-cutting measures like migrating to Spot VMs or switching providers, without first addressing the low-hanging fruit of resource waste, which is the most impactful and least risky initial step in cost optimization.

Detailed technical explanation

How to think about this question

Under the hood, Google Cloud's recommender engine analyzes metrics like CPU utilization, memory pressure, and network I/O to identify idle or oversized resources, often flagging VMs with sustained usage below 10% as candidates for downsizing or stopping. Lifecycle policies in Cloud Storage automatically transition objects to colder storage classes (e.g., from Standard to Nearline or Archive) based on age or access patterns, reducing storage costs by up to 70% for infrequently accessed data. Committed Use Discounts (CUDs) require a 1- or 3-year commitment and can yield up to 57% discount on compute costs, but they must be carefully matched to stable, predictable workloads to avoid paying for unused resources.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this GCDL question test?

Scaling with Google Cloud operations — This question tests Scaling with Google Cloud operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Identify idle and underutilized resources (oversized VMs, unused disks, unattached IPs), apply lifecycle policies to storage, and commit to CUDs for stable workloads. — Option B is correct because the first step in cloud cost optimization is to identify and eliminate waste from idle or oversized resources, which is the most common source of cost inefficiency. Applying lifecycle policies to storage and committing to Committed Use Discounts (CUDs) for stable workloads are proven strategies to reduce costs without compromising performance. This approach aligns with Google Cloud's recommended FinOps practices, focusing on immediate, high-impact savings before considering architectural changes.

What should I do if I get this GCDL question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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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.