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A team has validated a bundle but assumes that alone will create its jobs in the workspace.
Which acceptance result most directly demonstrates that the intended solution works?
Validation and deployment are different operations; deploy creates or updates configured Databricks resources.
A new job run appears for the intended deployed resource and target environment. That finding does not establish that the configured job resource appears in the target workspace after successful deployment.
Validation resolves the common project identity for both development and production targets. That finding does not establish that the configured job resource appears in the target workspace after successful deployment.
Production contains the required schedule and DAG after deployment, not just the notebook source. That finding does not establish that the configured job resource appears in the target workspace after successful deployment.
After deploying a bundle, an engineer needs to start its defined Lakeflow Job from the CLI without searching for a generated UI link.
Which implementation decision best addresses this requirement?
The bundle CLI can execute a deployed resource by its logical bundle configuration name. The selected implementation is the one directly aligned with the constraints in the scenario.
Bundles describe a complete deployable project, including resources and environment settings—not only code archives.
Non-personal identity avoids tying production deployments to an engineer's account and supports least privilege.
When a default target exists, commands without a target can operate on development; explicit targeting reduces misdeployment.
After deploying a bundle, an engineer needs to start its defined Lakeflow Job from the CLI without searching for a generated UI link.
Which acceptance result most directly demonstrates that the intended solution works?
The bundle CLI can execute a deployed resource by its logical bundle configuration name.
The bundle validates and deploys both its source logic and job resources from the project folder. That finding does not establish that a new job run appears for the intended deployed resource and target environment.
The CI pipeline deploys under a dedicated identity and still works after the original developer loses workspace access. That finding does not establish that a new job run appears for the intended deployed resource and target environment.
The deploy log identifies production and the development workspace remains unchanged. That finding does not establish that a new job run appears for the intended deployed resource and target environment.
A project stores Python source files and a job declaration, but an engineer incorrectly believes a bundle is just a ZIP of notebooks.
Which implementation decision best addresses this requirement?
Bundles describe a complete deployable project, including resources and environment settings—not only code archives. The selected implementation is the one directly aligned with the constraints in the scenario.
A top-level bundle definition anchors common configuration and reduces environment-specific duplication.
Validation in CI catches structural defects before resource mutation and reduces broken deployments.
Resource management through a bundle can update its declared resource rather than treating each deployment as an unrelated manual copy.
A project stores Python source files and a job declaration, but an engineer incorrectly believes a bundle is just a ZIP of notebooks.
Which acceptance result most directly demonstrates that the intended solution works?
Bundles describe a complete deployable project, including resources and environment settings—not only code archives.
Validation resolves the common project identity for both development and production targets. That finding does not establish that the bundle validates and deploys both its source logic and job resources from the project folder.
A deliberately invalid bundle stops the workflow before the deploy stage. That finding does not establish that the bundle validates and deploys both its source logic and job resources from the project folder.
The second deployment updates the same intended logical job with no unexpected duplicate production job. That finding does not establish that the bundle validates and deploys both its source logic and job resources from the project folder.
A team wants a reusable project name and centrally defined common settings across several deployment environments.
Which implementation decision best addresses this requirement?
A top-level bundle definition anchors common configuration and reduces environment-specific duplication. The selected implementation is the one directly aligned with the constraints in the scenario.
Non-personal identity avoids tying production deployments to an engineer's account and supports least privilege.
Resource-as-code deployment promotes job behavior along with executable logic.
Version control and pull-request review make code changes auditable before automated deployment.
A team wants a reusable project name and centrally defined common settings across several deployment environments.
Which acceptance result most directly demonstrates that the intended solution works?
A top-level bundle definition anchors common configuration and reduces environment-specific duplication.
The CI pipeline deploys under a dedicated identity and still works after the original developer loses workspace access. That finding does not establish that validation resolves the common project identity for both development and production targets.
Production contains the required schedule and DAG after deployment, not just the notebook source. That finding does not establish that validation resolves the common project identity for both development and production targets.
The promoted commit is the reviewed commit and unauthorized changes cannot bypass the protected branch. That finding does not establish that validation resolves the common project identity for both development and production targets.
A production pipeline must not use a developer's personal credentials when triggered through CI/CD.
Which implementation decision best addresses this requirement?
Non-personal identity avoids tying production deployments to an engineer's account and supports least privilege. The selected implementation is the one directly aligned with the constraints in the scenario.
Validation in CI catches structural defects before resource mutation and reduces broken deployments.
When a default target exists, commands without a target can operate on development; explicit targeting reduces misdeployment.
Deployment paths must not collide across targets or with independently owned workspace assets.
A production pipeline must not use a developer's personal credentials when triggered through CI/CD.
Which acceptance result most directly demonstrates that the intended solution works?
Non-personal identity avoids tying production deployments to an engineer's account and supports least privilege.
A deliberately invalid bundle stops the workflow before the deploy stage. That finding does not establish that the CI pipeline deploys under a dedicated identity and still works after the original developer loses workspace access.
The deploy log identifies production and the development workspace remains unchanged. That finding does not establish that the CI pipeline deploys under a dedicated identity and still works after the original developer loses workspace access.
The production bundle operates only in its assigned workspace namespace and leaves unrelated assets unchanged. That finding does not establish that the CI pipeline deploys under a dedicated identity and still works after the original developer loses workspace access.
A team wants its CI system to reject malformed bundle configuration before deploying any production job.
Which implementation decision best addresses this requirement?
Validation in CI catches structural defects before resource mutation and reduces broken deployments. The selected implementation is the one directly aligned with the constraints in the scenario.
Resource-as-code deployment promotes job behavior along with executable logic.
Resource management through a bundle can update its declared resource rather than treating each deployment as an unrelated manual copy.
A bundle target cannot correct application-level hardcoded development references unless the code accepts configuration.
A team wants its CI system to reject malformed bundle configuration before deploying any production job.
Which acceptance result most directly demonstrates that the intended solution works?
Validation in CI catches structural defects before resource mutation and reduces broken deployments.
Production contains the required schedule and DAG after deployment, not just the notebook source. That finding does not establish that a deliberately invalid bundle stops the workflow before the deploy stage.
The second deployment updates the same intended logical job with no unexpected duplicate production job. That finding does not establish that a deliberately invalid bundle stops the workflow before the deploy stage.
The production run reads the approved production catalog and makes no calls to development datasets. That finding does not establish that a deliberately invalid bundle stops the workflow before the deploy stage.
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