- A
Pre-cache popular content.
Pre-caching ensures popular content is always in the cache, reducing misses and cost.
- B
Use a larger cache size.
Why wrong: Larger cache size allows more content but does not proactively load popular items.
- C
Increase cache TTL.
Why wrong: Longer TTL reduces fetch frequency but may serve stale content and does not pre-populate cache.
- D
Use compression.
Why wrong: Compression reduces transfer size but does not affect cache hit ratio.
Google PCA Practice Question: Analyze and optimize technical and business processes
This PCA practice question tests your understanding of analyze and optimize technical and business processes. 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 is using Cloud CDN to accelerate content delivery. They notice increased costs from cache misses. What can they do?
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
Pre-cache popular content.
Pre-caching popular content ensures that the most frequently requested objects are already stored in Cloud CDN edge caches before users request them. This directly reduces cache misses because the content is proactively loaded, eliminating the need for the first user to trigger a fetch from the origin. By targeting high-demand assets, you minimize origin requests and lower the cost associated with cache misses.
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.
- ✓
Pre-cache popular content.
Why this is correct
Pre-caching ensures popular content is always in the cache, reducing misses and cost.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a larger cache size.
Why it's wrong here
Larger cache size allows more content but does not proactively load popular items.
- ✗
Increase cache TTL.
Why it's wrong here
Longer TTL reduces fetch frequency but may serve stale content and does not pre-populate cache.
- ✗
Use compression.
Why it's wrong here
Compression reduces transfer size but does not affect cache hit ratio.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that increasing cache TTL or cache size can fix cache misses, when in reality these settings only affect how long content stays fresh or how much can be stored, not whether the content is present in the first place.
Detailed technical explanation
How to think about this question
Cloud CDN uses a distributed network of edge caches that follow a least-recently-used (LRU) eviction policy when storage is full. Pre-caching leverages the Cloud CDN cache fill API or origin warm-up scripts to populate caches during off-peak hours, ensuring that the first user request hits a cached copy. This approach is especially effective for predictable traffic patterns, such as daily news updates or product launches, where you can anticipate which assets will be requested.
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
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FAQ
Questions learners often ask
What does this PCA question test?
Analyze and optimize technical and business processes — This question tests Analyze and optimize technical and business processes — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Pre-cache popular content. — Pre-caching popular content ensures that the most frequently requested objects are already stored in Cloud CDN edge caches before users request them. This directly reduces cache misses because the content is proactively loaded, eliminating the need for the first user to trigger a fetch from the origin. By targeting high-demand assets, you minimize origin requests and lower the cost associated with cache misses.
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.
About these practice questions
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Last reviewed: Jun 30, 2026
This PCA 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 PCA exam.
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