20+ practice questions focused on Managing Google Cloud costs — one of the most tested topics on the Google Professional Cloud DevOps Engineer exam. Each question includes a detailed explanation so you learn why the right answer is correct.
Start Managing Google Cloud costs PracticeA company is using Google Kubernetes Engine (GKE) with multiple node pools. They notice that their monthly costs are higher than expected. Upon review, they find that several preemptible VMs are being recreated frequently, leading to sustained usage costs. What is the most cost-effective solution to reduce costs?
Explanation: Spot VMs are the recommended replacement for preemptible VMs, offering the same low price but without the 24-hour maximum runtime limit. This eliminates the frequent recreation and sustained usage costs caused by preemptible VMs being terminated and restarted, directly reducing monthly expenses.
A company runs a batch processing workload on Compute Engine that runs for 3 hours every night. They want to minimize costs while ensuring the job completes reliably. Which recommendation should they follow?
Explanation: Preemptible VMs cost about 60-80% less than standard VMs and are ideal for batch workloads that can tolerate interruptions. Since the job runs for only 3 hours nightly, it can be designed to checkpoint progress and restart from the last checkpoint if a preemptible VM is terminated (which can happen at any time within 24 hours). This minimizes cost while ensuring reliability through graceful interruption handling.
A company uses Cloud Storage to store archival data. They want to minimize storage costs while maintaining availability. Which storage class should they use?
Explanation: The Archive storage class is the correct choice because it offers the lowest storage cost for archival data that is accessed less than once per year, with a 365-day minimum storage duration and retrieval costs that are higher than other classes. This aligns with the requirement to minimize storage costs while maintaining availability, as Archive data is still available for retrieval (though with a longer latency) and is replicated for durability.
A company is using BigQuery for analytics and wants to control costs. They have many queries that scan large amounts of data. Which approach is most effective in reducing query costs?
Explanation: Partitioning tables by date and using partition pruning in queries directly reduces the amount of data scanned by BigQuery, which is the primary driver of on-demand query costs. By filtering on the partition column, BigQuery can skip entire partitions that do not match the query criteria, minimizing the bytes processed. This is the most effective cost-control measure because it addresses the root cause of high costs—excessive data scanning—without requiring a pricing model change or additional resource commitments.
A company uses Cloud CDN to deliver content globally. They notice increasing egress costs. Which change will most effectively reduce egress costs?
Explanation: Increasing the cache hit ratio reduces the number of requests that reach the origin server, which directly lowers the volume of data transferred from the origin to the CDN edge. Since egress costs are primarily driven by data served from the CDN edges to users, caching more content at the edge minimizes the need to fetch and serve data from the origin, thereby reducing overall egress traffic and associated costs.
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Practice all Managing Google Cloud costs questions1. Baseline your knowledge
Start with 10 questions to gauge your current understanding of Managing Google Cloud costs. This tells you whether you need a concept refresher or just practice.
2. Review every explanation
For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.
3. Focus on exam traps
Managing Google Cloud costs questions on the PCDOE frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.
4. Reach 80% consistently
Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.
The exact number varies per candidate. Managing Google Cloud costs is tested as part of the Google Professional Cloud DevOps Engineer blueprint. Practicing with targeted Managing Google Cloud costs questions ensures you can handle any format or difficulty that appears.
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Difficulty is subjective, but Managing Google Cloud costs is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.
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