The answer is to use preemptible VMs for the managed instance group and implement a checkpointing mechanism to handle interruptions. This is correct because preemptible VMs offer up to 80% cost reduction for batch processing workloads, but they can be terminated by Google Cloud within 24 hours with a 30-second warning. For a CPU-intensive job running four hours, checkpointing allows the workload to save its progress periodically and resume from the last saved state after a preemption, ensuring the job completes without restarting from scratch. On the Google Professional Cloud Architect exam, this scenario tests your understanding of cost optimization trade-offs—specifically, that preemptible VMs are ideal for fault-tolerant, stateless batch jobs, but require a resumption strategy like checkpointing to avoid performance loss. A common trap is assuming standard VMs are needed for long-running jobs, but the key insight is that checkpointing decouples cost savings from reliability. Memory tip: “Preempt and persist” — preemptible VMs for savings, checkpointing for persistence.
Google PCA Manage implementation of cloud architecture Practice Question
This PCA practice question tests your understanding of manage implementation of cloud architecture. 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 runs a batch processing workload on Compute Engine instances in a managed instance group (MIG). The job is CPU-intensive and takes approximately 4 hours to complete. The company wants to reduce costs without sacrificing performance. Which action should they take?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use preemptible VMs for the MIG and implement a checkpointing mechanism to handle interruptions.
Preemptible VMs are significantly cheaper than standard VMs but can be terminated at any time. For a batch processing workload that is CPU-intensive and runs for 4 hours, using preemptible VMs in a MIG with a checkpointing mechanism allows the job to resume from the last saved state after an interruption, thus reducing costs without sacrificing performance.
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.
✗
Purchase committed use discounts for the instance type.
Why it's wrong here
Committed use discounts lock you into a term and may not be cost-effective for short-term workloads.
✗
Change the machine series to a smaller machine type.
Why it's wrong here
Smaller machines may not complete the job in the required time or may fail due to insufficient resources.
✓
Use preemptible VMs for the MIG and implement a checkpointing mechanism to handle interruptions.
Why this is correct
Preemptible VMs are up to 80% cheaper and, with checkpointing, can handle preemptions gracefully.
Related concept
Read the scenario before looking for a memorised answer.
✗
Provision additional reserved VMs to ensure capacity.
Why it's wrong here
Reserved VMs increase costs and are unnecessary for a batch workload that can tolerate interruptions.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that committed use discounts are the best cost-saving option for any workload, but they are only cost-effective for predictable, always-on instances, not for batch jobs that can leverage preemptible VMs.
Detailed technical explanation
How to think about this question
Preemptible VMs offer up to 80% cost savings but have a maximum runtime of 24 hours and can be terminated with a 30-second notice. A checkpointing mechanism, such as saving intermediate results to persistent storage or Cloud Storage, enables the job to resume from the last checkpoint after a preemption, ensuring the 4-hour batch job completes without restarting from scratch. This approach is ideal for fault-tolerant, stateless workloads like batch processing.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this PCA question in full detail.
Manage implementation of cloud architecture — This question tests Manage implementation of cloud architecture — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use preemptible VMs for the MIG and implement a checkpointing mechanism to handle interruptions. — Preemptible VMs are significantly cheaper than standard VMs but can be terminated at any time. For a batch processing workload that is CPU-intensive and runs for 4 hours, using preemptible VMs in a MIG with a checkpointing mechanism allows the job to resume from the last saved state after an interruption, thus reducing costs without sacrificing performance.
What should I do if I get this PCA question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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