- A
Cloud Storage, by storing container images as objects in a bucket
Why wrong: While Docker images are files, Cloud Storage is not a container registry. It doesn't support Docker registry protocol, layer caching, or image-specific metadata and vulnerability scanning that Artifact Registry provides.
- B
Artifact Registry, Google Cloud's managed repository for container images and build artifacts with native CI/CD integration
Artifact Registry is the intended service for hosting container images in Google Cloud. It supports Docker, Maven, npm, PyPI, and other formats, integrates natively with Cloud Build and GKE, and provides IAM-based access control and automatic vulnerability scanning.
- C
Container Registry (gcr.io), the legacy Google container image service
Why wrong: Container Registry (gcr.io) is a legacy service that Google has deprecated in favor of Artifact Registry. New workloads should use Artifact Registry.
- D
Cloud Source Repositories, for storing source code and container build files
Why wrong: Cloud Source Repositories stores source code (Git), not compiled container images. It is analogous to GitHub/GitLab, not a container registry.
Quick Answer
Artifact Registry is the correct choice because it serves as Google Cloud’s managed repository for storing and managing container images with native CI/CD integration. Unlike its predecessor Container Registry, Artifact Registry is a next-generation, fully managed service that supports multiple artifact formats including Docker images, Maven packages, and npm modules, while offering fine-grained access control through IAM and built-in vulnerability scanning. On the Google Cloud Digital Leader exam, this question tests your understanding of how Artifact Registry fits into a modern DevOps workflow, particularly its seamless connection to Cloud Build for CI/CD pipelines and GKE for deployments. A common trap is confusing Container Registry with Artifact Registry—remember that Artifact Registry is the newer, unified service that replaces Container Registry and supports more formats. Memory tip: think of Artifact Registry as the single “artifact hub” that stores everything your pipeline builds, from container images to language packages, all in one place.
Cloud Digital Leader Practice Question: Google Cloud products, services, and solutions
This GCDL practice question tests your understanding of google cloud products, services, and solutions. 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 software team wants to host their container images securely within Google Cloud and integrate with Cloud Build for CI/CD pipelines and GKE for deployments. Which Google Cloud product serves as the managed repository for storing and managing container images?
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
Artifact Registry, Google Cloud's managed repository for container images and build artifacts with native CI/CD integration
Artifact Registry is Google Cloud's fully managed, next-generation repository for storing, managing, and securing container images and build artifacts. It natively integrates with Cloud Build for CI/CD pipelines and GKE for deployments, providing features like vulnerability scanning, access control via IAM, and support for multiple formats (Docker, Maven, npm, etc.). This makes it the correct choice for the team's requirements.
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.
- ✗
Cloud Storage, by storing container images as objects in a bucket
Why it's wrong here
While Docker images are files, Cloud Storage is not a container registry. It doesn't support Docker registry protocol, layer caching, or image-specific metadata and vulnerability scanning that Artifact Registry provides.
- ✓
Artifact Registry, Google Cloud's managed repository for container images and build artifacts with native CI/CD integration
Why this is correct
Artifact Registry is the intended service for hosting container images in Google Cloud. It supports Docker, Maven, npm, PyPI, and other formats, integrates natively with Cloud Build and GKE, and provides IAM-based access control and automatic vulnerability scanning.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Container Registry (gcr.io), the legacy Google container image service
Why it's wrong here
Container Registry (gcr.io) is a legacy service that Google has deprecated in favor of Artifact Registry. New workloads should use Artifact Registry.
- ✗
Cloud Source Repositories, for storing source code and container build files
Why it's wrong here
Cloud Source Repositories stores source code (Git), not compiled container images. It is analogous to GitHub/GitLab, not a container registry.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between legacy and current services, so the trap here is that candidates may pick Container Registry (gcr.io) because it is familiar and historically used for container images, but they must recognize that Artifact Registry is the modern, recommended service with broader capabilities and deeper integration.
Detailed technical explanation
How to think about this question
Under the hood, Artifact Registry uses a regionalized, multi-tenant storage backend that stores container images as OCI-compliant manifests and layers in Cloud Storage, but exposes a Docker Registry API (v2) for push/pull operations. A subtle behavior is that Artifact Registry supports both Docker and non-Docker artifacts (e.g., Maven, npm) in the same repository, and it enforces IAM permissions at the repository level, allowing fine-grained access control (e.g., granting a service account 'artifactregistry.reader' to pull images for GKE). In a real-world CI/CD pipeline, Cloud Build can push images directly to Artifact Registry using the `gcloud builds submit` command with the `--region` flag, ensuring low-latency pulls for GKE clusters in the same region.
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.
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FAQ
Questions learners often ask
What does this GCDL question test?
Google Cloud products, services, and solutions — This question tests Google Cloud products, services, and solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Artifact Registry, Google Cloud's managed repository for container images and build artifacts with native CI/CD integration — Artifact Registry is Google Cloud's fully managed, next-generation repository for storing, managing, and securing container images and build artifacts. It natively integrates with Cloud Build for CI/CD pipelines and GKE for deployments, providing features like vulnerability scanning, access control via IAM, and support for multiple formats (Docker, Maven, npm, etc.). This makes it the correct choice for the team's requirements.
What should I do if I get this GCDL 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 11, 2026
This GCDL 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 GCDL exam.
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