- A
Use a larger machine type
Why wrong: More CPU/memory may help but does not address repeated downloads.
- B
Increase the build timeout
Why wrong: Timeouts don't optimize build speed.
- C
Enable Kaniko layer caching and push cache to Artifact Registry
Kaniko layer caching stores layer cache in a remote registry, speeding up builds.
- D
Use Cloud Build's local SSD for temporary storage
Why wrong: Local SSD does not cache between builds.
Question 821 of 1,000
PCDE Practice Question: Building and Implementing CI/CD Pipelines for a Service
This PCDE practice question tests your understanding of building and implementing ci/cd pipelines for a service. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 CI/CD pipeline uses Cloud Build to build a Docker image. The Dockerfile copies dependencies from a private repository in the same VPC. The build takes a long time due to repeated downloads. How can the engineer optimize the build?
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
✓
Enable Kaniko layer caching and push cache to Artifact Registry
Option C is correct because Kaniko layer caching stores intermediate Docker image layers in Artifact Registry, allowing subsequent builds to reuse cached layers instead of re-downloading dependencies from the private repository. This directly addresses the repeated downloads causing long build times, as Kaniko checks the cache before executing each RUN command in the Dockerfile.
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 larger machine type
Why it's wrong here
More CPU/memory may help but does not address repeated downloads.
- ✗
Increase the build timeout
Why it's wrong here
Timeouts don't optimize build speed.
- ✓
Enable Kaniko layer caching and push cache to Artifact Registry
Why this is correct
Kaniko layer caching stores layer cache in a remote registry, speeding up builds.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Cloud Build's local SSD for temporary storage
Why it's wrong here
Local SSD does not cache between builds.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse increasing resources (e.g., larger machine type or longer timeout) with optimizing the build process, failing to recognize that caching with Kaniko and Artifact Registry eliminates redundant downloads from private repositories within the same VPC.
Detailed technical explanation
How to think about this question
Kaniko works by executing Dockerfile commands in userspace without requiring a Docker daemon, and it supports layer caching via the `--cache=true` flag and `--cache-repo` pointing to Artifact Registry. When a RUN command's hash matches a cached layer, Kaniko skips execution and pulls the layer from the cache, dramatically reducing build time for unchanged dependency layers. In a VPC-private repository scenario, the cache must be in a registry accessible from the build environment, and Artifact Registry is the recommended service for this within Google Cloud.
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.
Quick reference
OSI Model Reference
| Layer | Name | PDU | Key Protocols / Devices |
|---|---|---|---|
| 7 | Application | Data | HTTP, HTTPS, DNS, SMTP, FTP, SSH |
| 6 | Presentation | Data | TLS / SSL, JPEG, ASCII encoding |
| 5 | Session | Data | NetBIOS, RPC, SIP |
| 4 | Transport | Segment / Datagram | TCP, UDP |
| 3 | Network | Packet | IP, ICMP, OSPF — Routers |
| 2 | Data Link | Frame | Ethernet, Wi-Fi, PPP — Switches, Bridges |
| 1 | Physical | Bits | Cables, NICs, Hubs, Repeaters |
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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Building and Implementing CI/CD Pipelines for a Service — study guide chapter
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FAQ
Questions learners often ask
What does this PCDE question test?
Building and Implementing CI/CD Pipelines for a Service — This question tests Building and Implementing CI/CD Pipelines for a Service — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable Kaniko layer caching and push cache to Artifact Registry — Option C is correct because Kaniko layer caching stores intermediate Docker image layers in Artifact Registry, allowing subsequent builds to reuse cached layers instead of re-downloading dependencies from the private repository. This directly addresses the repeated downloads causing long build times, as Kaniko checks the cache before executing each RUN command in the Dockerfile.
What should I do if I get this PCDE 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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Last reviewed: Jul 4, 2026
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