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Question 196 of 507

Scaling with Google Cloud operations →easyMultiple ChoiceObjective-mapped

Quick Answer

The answer is Spot VMs, which offer up to a 91% discount for workloads that can tolerate interruptions. This is the correct first evaluation because batch data processing that runs for a fixed 4–6 hour nightly window and can checkpoint and resume its work is the ideal use case for preemptible capacity—Spot VMs provide massive cost savings precisely because Google can reclaim the resources when needed, making them perfect for fault-tolerant, interruptible batch workloads. On the Google Cloud Digital Leader exam, this question tests your understanding of cost optimization strategies, and the common trap is to consider committed use discounts or sustained use discounts, which are better for steady-state, always-on workloads, not short, interruptible nightly jobs. A simple memory tip: if the workload can be stopped and restarted without data loss, think “Spot” for savings—like a spot in a parking lot that might be taken, but you can park again later.

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 team is asked to reduce the cost of a batch data processing workload that runs for 4–6 hours each night and can tolerate interruptions. The workload currently uses standard on-demand Compute Engine VMs. Which pricing option should the team evaluate 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.

Question 1easymultiple choice

Full question →

A
Committed Use Discounts (CUDs), by committing to 1 or 3 years of VM usage
Why wrong: CUDs provide 37–55% discounts for committed 1 or 3-year terms. They are appropriate for stable, continuous workloads — not nightly batch jobs that only run a few hours. Spot VMs provide larger discounts with no commitment for interruptible batch workloads.
B
Spot VMs, which offer up to 91% discount for workloads that can tolerate interruption and checkpoint/resume their work
Spot VMs are the optimal choice for this scenario. The workload is batch (can checkpoint), runs nightly (predictable schedule), and tolerates interruption. Up to 91% discount is a dramatic cost reduction. The 30-second notice for Spot VM preemption is sufficient for batch jobs to save state.
C
Sustained Use Discounts (SUDs), which automatically apply when VMs run for more than 25% of a month
Why wrong: Sustained Use Discounts automatically apply to VMs that run for extended periods (25%+ of a month). A nightly batch job running 4–6 hours may accrue some SUD but far less than Spot VM savings, and there's no maximum discount for Spot-sized savings from SUDs alone.
D
Reserved Instances, by purchasing capacity reservation for the nightly batch window
Why wrong: Capacity Reservations ensure capacity is available but don't automatically reduce price. They're for ensuring capacity in specific zones, not for cost optimization of interruptible batch workloads.

Full breakdown with real-world context →

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

✓

Spot VMs, which offer up to 91% discount for workloads that can tolerate interruption and checkpoint/resume their work

Spot VMs are the correct first evaluation because the workload runs for a fixed 4–6 hour nightly window, can tolerate interruptions, and can checkpoint/resume its work. Spot VMs offer up to a 91% discount compared to standard on-demand VMs, making them the most cost-effective option for fault-tolerant batch processing that does not require continuous availability.

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.

✗
Committed Use Discounts (CUDs), by committing to 1 or 3 years of VM usage
Why it's wrong here
CUDs provide 37–55% discounts for committed 1 or 3-year terms. They are appropriate for stable, continuous workloads — not nightly batch jobs that only run a few hours. Spot VMs provide larger discounts with no commitment for interruptible batch workloads.
✓
Spot VMs, which offer up to 91% discount for workloads that can tolerate interruption and checkpoint/resume their work
Why this is correct
Spot VMs are the optimal choice for this scenario. The workload is batch (can checkpoint), runs nightly (predictable schedule), and tolerates interruption. Up to 91% discount is a dramatic cost reduction. The 30-second notice for Spot VM preemption is sufficient for batch jobs to save state.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Sustained Use Discounts (SUDs), which automatically apply when VMs run for more than 25% of a month
Why it's wrong here
Sustained Use Discounts automatically apply to VMs that run for extended periods (25%+ of a month). A nightly batch job running 4–6 hours may accrue some SUD but far less than Spot VM savings, and there's no maximum discount for Spot-sized savings from SUDs alone.
✗
Reserved Instances, by purchasing capacity reservation for the nightly batch window
Why it's wrong here
Capacity Reservations ensure capacity is available but don't automatically reduce price. They're for ensuring capacity in specific zones, not for cost optimization of interruptible batch workloads.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the misconception that Committed Use Discounts are always the best cost-saving option, but the trap here is that candidates overlook the workload's short, interruptible nature and instead choose a long-term commitment that would waste resources during idle hours.

Detailed technical explanation

How to think about this question

Spot VMs in GCP are preemptible VMs with a maximum runtime of 24 hours before they may be reclaimed, but they can be terminated at any time if capacity is needed elsewhere. The workload must implement checkpointing (e.g., saving intermediate state to Cloud Storage or persistent disks) and resume logic to handle interruptions gracefully. For batch data processing using frameworks like Apache Beam or Spark, checkpointing is often built-in, making Spot VMs an ideal fit for this use case.

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: Spot VMs, which offer up to 91% discount for workloads that can tolerate interruption and checkpoint/resume their work — Spot VMs are the correct first evaluation because the workload runs for a fixed 4–6 hour nightly window, can tolerate interruptions, and can checkpoint/resume its work. Spot VMs offer up to a 91% discount compared to standard on-demand VMs, making them the most cost-effective option for fault-tolerant batch processing that does not require continuous availability.

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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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.