Question 914 of 1,000
Ensure solution and operations reliabilityhardMultiple ChoiceObjective-mapped

Troubleshooting Vertex AI Workbench UNHEALTHY Status Due to Missing Container Image

This PCA practice question tests your understanding of ensure solution and operations reliability. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

Network Topology
project=my-projectlocation=us-central1Refer to the exhibit.NAME STATE HEALTH UPDATE_TIMEinstance-1 RUNNING HEALTHY 2025-02-15T10:30:00Zinstance-2 RUNNING UNHEALTHY 2025-02-15T10:35:00Z...health:state: UNHEALTHYreasons:- type: CONTAINER_CREATE_FAILED

You are investigating a Vertex AI Workbench instance (instance-2) that is showing UNHEALTHY status. Based on the exhibit, what is the most likely cause of the issue?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "most likely"

    Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

Network Topology
project=my-projectlocation=us-central1Refer to the exhibit.NAME STATE HEALTH UPDATE_TIMEinstance-1 RUNNING HEALTHY 2025-02-15T10:30:00Zinstance-2 RUNNING UNHEALTHY 2025-02-15T10:35:00Z...health:state: UNHEALTHYreasons:- type: CONTAINER_CREATE_FAILED

Quick Answer

The answer is that the Vertex AI Workbench instance shows UNHEALTHY status because the container image gcr.io/my-project/my-image:latest either does not exist in the registry or the instance’s service account lacks the storage.objectViewer permission on the container registry bucket. This occurs because Workbench instances run as containers; if the specified image cannot be pulled during startup, the container creation fails, leaving the instance in an UNHEALTHY state. On the Google Professional Cloud Architect exam, this scenario tests your understanding of IAM permissions tied to container registries and how missing images or insufficient access directly impact managed services. A common trap is assuming the image exists without verifying the service account’s roles, or confusing storage.objectViewer with storage.objectAdmin. Remember the memory tip: “No viewer, no pull—UNHEALTHY is the result.”

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

The container image gcr.io/my-project/my-image:latest does not exist, or the service account used by the Workbench instance does not have storage.objectViewer access to the container registry.

The UNHEALTHY status in Vertex AI Workbench typically occurs when the instance fails to start its container. Option A is correct because the most likely cause is that the specified container image (gcr.io/my-project/my-image:latest) does not exist in Container Registry, or the service account attached to the instance lacks the storage.objectViewer role on the registry bucket. Without this permission, the instance cannot pull the image, leading to a container creation failure and an UNHEALTHY state. Options B, C, and D are less likely given the focus on the container image in the exhibit.

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.

  • The container image gcr.io/my-project/my-image:latest does not exist, or the service account used by the Workbench instance does not have storage.objectViewer access to the container registry.

    Why this is correct

    The container image gcr.io/my-project/my-image:latest does not exist, or the service account used by the Workbench instance does not have storage.objectViewer access to the container registry. This would prevent the instance from pulling the image, causing an UNHEALTHY status.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • The container registry endpoint is blocked by a firewall rule that does not allow egress to gcr.io.

    Why it's wrong here

    While a firewall rule blocking egress to gcr.io could cause issues, the exhibit does not indicate any network-related errors. The focus on the container image makes this less likely.

  • The instance's underlying Compute Engine resources are exhausted, causing the container creation to timeout.

    Why it's wrong here

    The instance's underlying Compute Engine resources are exhausted, causing the container creation to timeout. While resource exhaustion could cause issues, the exhibit focuses on the container image, making this less likely than the image not existing or permissions issue.

  • The Workbench instance is using an outdated custom image that is not compatible with the latest runtime version.

    Why it's wrong here

    An outdated custom image might cause compatibility problems, but the exhibit references a specific container image (gcr.io/my-project/my-image:latest), not an outdated custom image.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the distinction between container image availability/permissions and network-level issues; the trap here is that candidates may assume a firewall or resource exhaustion is the cause, but the exhibit's focus on a specific container image points directly to a missing image or insufficient IAM permissions on the Container Registry.

Detailed technical explanation

How to think about this question

Vertex AI Workbench instances run as containers on Compute Engine VMs. When a custom container is specified, the instance pulls the image from the specified registry (e.g., gcr.io) using the instance's service account. The storage.objectViewer role is required on the Cloud Storage bucket backing the Container Registry (e.g., gcr.io/my-project) to list and read image blobs. If the image tag does not exist or the service account lacks this permission, the container runtime (Docker) fails to pull the image, and the instance health check reports UNHEALTHY. This is distinct from a firewall block, which would manifest as a network timeout error in the instance logs.

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 PCA question test?

Ensure solution and operations reliability — This question tests Ensure solution and operations reliability — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The container image gcr.io/my-project/my-image:latest does not exist, or the service account used by the Workbench instance does not have storage.objectViewer access to the container registry. — The UNHEALTHY status in Vertex AI Workbench typically occurs when the instance fails to start its container. Option A is correct because the most likely cause is that the specified container image (gcr.io/my-project/my-image:latest) does not exist in Container Registry, or the service account attached to the instance lacks the storage.objectViewer role on the registry bucket. Without this permission, the instance cannot pull the image, leading to a container creation failure and an UNHEALTHY state. Options B, C, and D are less likely given the focus on the container image in the exhibit.

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.

Are there clue words in this question I should notice?

Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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