Assign a stable approved service account to each new release revision. That change targets the separate case a managed service needs one application identity shared between revisions without creating new service accounts each release. The current case instead calls for create dedicated least-privilege service accounts and select them explicitly.

Attach a dedicated service account and grant narrowly scoped storage permissions. This is an appropriate response to a different situation: A Compute Engine VM should read one storage bucket without storing static key files. It does not directly correct the condition described here; the more targeted change is create dedicated least-privilege service accounts and select them explicitly.

Attach a dedicated runtime service account with only the required invoker or API roles. That change targets the separate case a cloud run service must call a private api without granting permissions to all developers. The current case instead calls for create dedicated least-privilege service accounts and select them explicitly.

Manual VPC provisioning can omit baseline naming and network segmentation controls. This risk is more closely associated with a platform team manually creates every cloud vpc and loses track of network changes. The direct exposure in this scenario is copying ad hoc scripts across projects creates configuration inconsistency.

Confusing Kubernetes objects with cloud infrastructure can cause ownership drift. This is the failure mode of a different case: A company wants to provision cloud resources through a Kubernetes-style control plane. For the current condition, the more direct consequence is copying ad hoc scripts across projects creates configuration inconsistency.

Unpinned dependencies can introduce unreviewed resource changes. That exposure could arise for a new terraform module is shared across departments but consumers unexpectedly receive changing behavior; it is not the closest risk here. The specified issue primarily leads to copying ad hoc scripts across projects creates configuration inconsistency.

Blindly granting Owner can hide a targeted permission or policy problem. This is the failure mode of a different case: An administrator wants to troubleshoot a denied IAM action without immediately granting broad roles. For the current condition, the more direct consequence is moving resources without iam and policy review can change effective access.

Disabling an organization wide constraint for one exception expands policy exposure. That exposure could arise for a team needs an exception from a restrictive inherited organization policy; it is not the closest risk here. The specified issue primarily leads to moving resources without iam and policy review can change effective access.

Increasing IAM privileges cannot compensate for a disabled project API. This risk is more closely associated with an engineer has iam permission but api requests fail with a disabled service error. The direct exposure in this scenario is moving resources without iam and policy review can change effective access.

Old key authentication fails while workloads use the replacement approved method. This is relevant in another situation: A compromised service account key has been discovered in a public repository. It does not establish the outcome of the specified fix, which should be new unauthorized credential issuance fails and approved jobs use replacement identities.

A dev workload cannot change production data while approved jobs still run. This would test the separate scenario: A project uses a service account for all production and development jobs. It is not decisive evidence for this change. Verify new unauthorized credential issuance fails and approved jobs use replacement identities instead.

The Pod obtains temporary access without a static secret file. That observation corresponds to a gke application must authenticate to an external identity provider without copying cloud keys into a secret, rather than the specific remediation being tested. The required evidence is new unauthorized credential issuance fails and approved jobs use replacement identities.

Container only platforms may not expose required operating system administration. That exposure could arise for a company needs full control of the guest operating system for a legacy binary; it is not the closest risk here. The specified issue primarily leads to long-lived idle instances consume resources outside processing windows.

Shared static SSH keys make revocation and attribution harder. This risk is more closely associated with a security team requires an audit trail for administrators connecting to compute engine. The direct exposure in this scenario is long-lived idle instances consume resources outside processing windows.

Assuming every accelerator can live migrate can cause surprise restarts. This is the failure mode of a different case: A VM instance runs a business process needing planned maintenance continuity. For the current condition, the more direct consequence is long-lived idle instances consume resources outside processing windows.

Choose Cloud Storage Archive with suitable retention and retrieval-cost planning. This is an appropriate response to a different situation: A compliance archive holds records rarely read for years. It does not directly correct the condition described here; the more targeted change is use an appropriate nearline or coldline cloud storage class based on access frequency.

Select Bigtable and design suitable row keys and column families. That change targets the separate case a telemetry application stores enormous rows indexed by device and time with single-key access. The current case instead calls for use an appropriate nearline or coldline cloud storage class based on access frequency.

Create a Cloud Storage bucket with controlled object permissions and serving configuration. This belongs to another task scenario: A static website must serve public images directly from an object store. It does not meet the immediate requirement of the current stem, which requires use an appropriate nearline or coldline cloud storage class based on access frequency.

Deploy the container on fully managed Cloud Run with appropriate ingress and authentication. This belongs to another task scenario: A startup wants to run a stateless HTTPS container with automatic scaling to zero between requests. It does not meet the immediate requirement of the current stem, which requires deploy an eligible cloud run function and configure a pub/sub event trigger.

Use Cloud Run for a stateless application requiring HTTP serving. This is an appropriate response to a different situation: An engineer needs to deploy new application containers without managing their own Kubernetes control plane. It does not directly correct the condition described here; the more targeted change is deploy an eligible cloud run function and configure a pub/sub event trigger.

Select GKE Autopilot and declare valid resource requests and scheduling requirements. That change targets the separate case a team wants to avoid managing individual kubernetes nodes for eligible container workloads. The current case instead calls for deploy an eligible cloud run function and configure a pub/sub event trigger.

Finance receives threshold notifications during a controlled budget scenario. This is relevant in another situation: A finance team wants an email when a project's monthly cloud spend approaches a limit. It does not establish the outcome of the specified fix, which should be the intended responders receive alerts while unrelated users do not.

Application owners receive needed alerts without access to confidential account invoices. That observation corresponds to a cloud team wants cost accountability without granting all engineers access to corporate invoices, rather than the specific remediation being tested. The required evidence is the intended responders receive alerts while unrelated users do not.

Notifications arrive when predicted spend breaches the defined forecast threshold. This is relevant in another situation: A company needs alerts based on forecast cost before the monthly threshold is reached. It does not establish the outcome of the specified fix, which should be the intended responders receive alerts while unrelated users do not.

Total invoice cost alone cannot explain which service drove a regression. This risk is more closely associated with a billing team wants to understand why costs rose after a new kubernetes deployment. The direct exposure in this scenario is retroactive label assignment may not annotate all old usage records.

Relying on a dashboard screenshot prevents repeatable SQL cost analysis. This is the failure mode of a different case: An organization needs project level cost analytics using its own SQL queries. For the current condition, the more direct consequence is retroactive label assignment may not annotate all old usage records.

Copying live invoice HTML manually causes inconsistent reporting. This risk is more closely associated with a company wants regular exports of its cloud costs to a non-google financial system. The direct exposure in this scenario is retroactive label assignment may not annotate all old usage records.

Copying an overprivileged predefined role can grant more than required. This is the failure mode of a different case: An engineering team has a permission need not met exactly by standard roles. For the current condition, the more direct consequence is assuming role titles imply exact permissions can cause misconfiguration.

Giving Storage Admin for list-only tasks creates unnecessary destructive ability. That exposure could arise for a storage operator needs permission to list objects but not delete bucket contents; it is not the closest risk here. The specified issue primarily leads to assuming role titles imply exact permissions can cause misconfiguration.

Roles granted to one project do not automatically transfer to its siblings. This risk is more closely associated with an app administrator cannot view compute engine resources despite a role grant on a different project. The direct exposure in this scenario is assuming role titles imply exact permissions can cause misconfiguration.

Inspect rollout status events and perform a rollback when needed. This belongs to another task scenario: A new GKE Deployment hangs after its container image update. It does not meet the immediate requirement of the current stem, which requires apply a rollout update and monitor deployment status and readiness.

Configure explicit Cloud Run revision traffic percentages and monitor metrics. That change targets the separate case a team wants to send ten percent of cloud run traffic to a candidate build. The current case instead calls for apply a rollout update and monitor deployment status and readiness.

Create a custom Compute Engine image from the approved source. This belongs to another task scenario: An engineer needs to create several new VMs from a tested operating system image. It does not meet the immediate requirement of the current stem, which requires apply a rollout update and monitor deployment status and readiness.