- A
Use a custom builder that pre-installs dependencies
Why wrong: Pre-installing in a custom builder works but requires rebuilding the builder when dependencies change, and doesn't automatically cache across builds.
- B
Set up a bucket for caching and use substitutions
Why wrong: Manually managing caching via a bucket is error-prone; Cloud Build volumes are purpose-built for this.
- C
Use a Kaniko cache with a remote repository
Why wrong: Kaniko cache is for Docker image layers, not for Go module downloads.
- D
Use Cloud Build's built-in caching feature by specifying a volume
Specifying a volume (e.g., `volumes: [{name: 'go-mod', path: '/go/pkg/mod'}]`) persists the directory across build steps and triggers, avoiding re-downloads.
Question 576 of 999
Speed Up Go Builds with Cloud Build Volume Caching
This PCD practice question tests your understanding of building and testing applications. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 team is using Cloud Build to build a Go application. They want to cache Go module dependencies across builds to speed up builds. Which configuration should they add to cloudbuild.yaml?
Quick Answer
The correct answer is to use Cloud Build’s built-in caching feature by specifying a volume in the `cloudbuild.yaml` configuration. This works because Cloud Build allows you to mount a persistent volume, such as `/go/pkg/mod`, and set the `cache` option to retain the Go module cache across build steps, eliminating redundant dependency downloads and dramatically speeding up subsequent builds. On the Google Professional Cloud Developer exam, this scenario tests your understanding of native Cloud Build caching versus external solutions like Cloud Storage or Artifact Registry—a common trap is overcomplicating the answer by adding unnecessary services when a simple volume mount suffices. Remember that for Go module caching, the volume path must match Go’s default cache directory, and the `cache` key in the volume definition is what triggers persistence. Memory tip: think “Go mod cache = volume mount + cache key” to avoid reaching for external storage.
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
✓
Use Cloud Build's built-in caching feature by specifying a volume
To cache Go module dependencies across builds in Cloud Build, you can mount a volume backed by Cloud Storage in your build steps. This is done by specifying a `volume` in the `cloudbuild.yaml` configuration that uses a bucket (e.g., via `gcs-fuse`). The Go module cache directory (e.g., `/go/pkg/mod`) is stored in the bucket, so it persists across different builds, significantly reducing dependency download time. This approach is a built-in caching feature of Cloud Build when combined with Cloud Storage.
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.
- ✗
Use a custom builder that pre-installs dependencies
Why it's wrong here
Pre-installing in a custom builder works but requires rebuilding the builder when dependencies change, and doesn't automatically cache across builds.
- ✗
Set up a bucket for caching and use substitutions
Why it's wrong here
Manually managing caching via a bucket is error-prone; Cloud Build volumes are purpose-built for this.
- ✗
Use a Kaniko cache with a remote repository
Why it's wrong here
Kaniko cache is for Docker image layers, not for Go module downloads.
- ✓
Use Cloud Build's built-in caching feature by specifying a volume
Why this is correct
Specifying a volume (e.g., `volumes: [{name: 'go-mod', path: '/go/pkg/mod'}]`) persists the directory across build steps and triggers, avoiding re-downloads.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The PCD exam often tests the distinction between container image caching (Kaniko) and application dependency caching (Cloud Build volumes), leading candidates to confuse the purpose of Kaniko cache with the need for dependency caching.
Detailed technical explanation
How to think about this question
Cloud Build's volume caching works by specifying a `volume` with a `name` and `path` in the build step, and setting `'cache': true` in the `options` section of `cloudbuild.yaml`. Under the hood, Cloud Build mounts a persistent volume that is reused across builds within the same region and project, but note that the cache is not shared across different builds or projects and has a limited retention period (typically 7 days). In real-world scenarios, this is especially beneficial for large Go projects with hundreds of dependencies, where downloading modules from scratch can add minutes to the build time.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 PCD question test?
Building and testing applications — This question tests Building and testing applications — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Cloud Build's built-in caching feature by specifying a volume — To cache Go module dependencies across builds in Cloud Build, you can mount a volume backed by Cloud Storage in your build steps. This is done by specifying a `volume` in the `cloudbuild.yaml` configuration that uses a bucket (e.g., via `gcs-fuse`). The Go module cache directory (e.g., `/go/pkg/mod`) is stored in the bucket, so it persists across different builds, significantly reducing dependency download time. This approach is a built-in caching feature of Cloud Build when combined with Cloud Storage.
What should I do if I get this PCD 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 25, 2026
This PCD 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 PCD exam.
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