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A bundle uses the same literal path to a workspace artifact in every environment and overwrites an unrelated production asset.
Which acceptance result most directly demonstrates that the intended solution works?
Deployment paths must not collide across targets or with independently owned workspace assets.
The production run reads the approved production catalog and makes no calls to development datasets. That finding does not establish that the production bundle operates only in its assigned workspace namespace and leaves unrelated assets unchanged.
The bundle artifact and remote commit contain the same reviewed notebook changes. That finding does not establish that the production bundle operates only in its assigned workspace namespace and leaves unrelated assets unchanged.
An incident responder can identify the exact repository commit that produced the running job. That finding does not establish that the production bundle operates only in its assigned workspace namespace and leaves unrelated assets unchanged.
A notebook references catalog dev.orders directly, causing production deployments to read development data despite the correct bundle target.
Which implementation decision best addresses this requirement?
A bundle target cannot correct application-level hardcoded development references unless the code accepts configuration. The selected implementation is the one directly aligned with the constraints in the scenario.
Infrastructure-as-code reduces configuration drift by documenting and applying intended resource definitions.
Bundle tooling requires an authenticated Databricks context to deploy resources.
Version control plus repeatable deployment enables controlled rollback without reconstructing a workspace by hand.
A notebook references catalog dev.orders directly, causing production deployments to read development data despite the correct bundle target.
Which acceptance result most directly demonstrates that the intended solution works?
A bundle target cannot correct application-level hardcoded development references unless the code accepts configuration.
A controlled redeployment restores the approved task graph and schedule from source control. That finding does not establish that the production run reads the approved production catalog and makes no calls to development datasets.
The CI job validates connectivity and deploys only the intended resources under an approved principal. That finding does not establish that the production run reads the approved production catalog and makes no calls to development datasets.
The prior tested notebook and job settings are restored from source and the broken release is no longer active. That finding does not establish that the production run reads the approved production catalog and makes no calls to development datasets.
A jobs team wants to compare live job settings to the release definition after repeated manual hotfixes.
Which implementation decision best addresses this requirement?
Infrastructure-as-code reduces configuration drift by documenting and applying intended resource definitions. The selected implementation is the one directly aligned with the constraints in the scenario.
Uncommitted workspace changes are not part of the remote branch used by external CI runners.
Target overrides let each environment use its own available infrastructure without copying the business logic.
Environment-specific security settings should vary by target without editing the shared ETL implementation.
A jobs team wants to compare live job settings to the release definition after repeated manual hotfixes.
Which acceptance result most directly demonstrates that the intended solution works?
Infrastructure-as-code reduces configuration drift by documenting and applying intended resource definitions.
The bundle artifact and remote commit contain the same reviewed notebook changes. That finding does not establish that a controlled redeployment restores the approved task graph and schedule from source control.
Development validation resolves its valid warehouse and production retains its original reference. That finding does not establish that a controlled redeployment restores the approved task graph and schedule from source control.
A production execution uses the production service principal and the dev job uses its permitted development identity. That finding does not establish that a controlled redeployment restores the approved task graph and schedule from source control.
A developer edits a Git folder in the UI but assumes an uncommitted change will be included in the build triggered from the remote main branch.
Which implementation decision best addresses this requirement?
Uncommitted workspace changes are not part of the remote branch used by external CI runners. The selected implementation is the one directly aligned with the constraints in the scenario.
Bundle tooling requires an authenticated Databricks context to deploy resources.
Deployment traceability links operational behavior back to reviewed source and configuration.
Bundles can package multiple related Databricks resources and promote their configuration together.
A developer edits a Git folder in the UI but assumes an uncommitted change will be included in the build triggered from the remote main branch.
Which acceptance result most directly demonstrates that the intended solution works?
Uncommitted workspace changes are not part of the remote branch used by external CI runners.
The CI job validates connectivity and deploys only the intended resources under an approved principal. That finding does not establish that the bundle artifact and remote commit contain the same reviewed notebook changes.
An incident responder can identify the exact repository commit that produced the running job. That finding does not establish that the bundle artifact and remote commit contain the same reviewed notebook changes.
The target workspace contains the expected pipeline and the job points to that deployed pipeline. That finding does not establish that the bundle artifact and remote commit contain the same reviewed notebook changes.
A deployment runs from CI with no Databricks authentication configured and fails before any asset is created.
Which implementation decision best addresses this requirement?
Bundle tooling requires an authenticated Databricks context to deploy resources. The selected implementation is the one directly aligned with the constraints in the scenario.
Target overrides let each environment use its own available infrastructure without copying the business logic.
Version control plus repeatable deployment enables controlled rollback without reconstructing a workspace by hand.
The bundle lifecycle establishes resources through deployment before they are invoked.
A deployment runs from CI with no Databricks authentication configured and fails before any asset is created.
Which acceptance result most directly demonstrates that the intended solution works?
Bundle tooling requires an authenticated Databricks context to deploy resources.
Development validation resolves its valid warehouse and production retains its original reference. That finding does not establish that the CI job validates connectivity and deploys only the intended resources under an approved principal.
The prior tested notebook and job settings are restored from source and the broken release is no longer active. That finding does not establish that the CI job validates connectivity and deploys only the intended resources under an approved principal.
The run command succeeds once the named resource exists in the selected target. That finding does not establish that the CI job validates connectivity and deploys only the intended resources under an approved principal.
A bundle contains a production-only warehouse ID but the development target lacks that warehouse, preventing local tests.
Which implementation decision best addresses this requirement?
Target overrides let each environment use its own available infrastructure without copying the business logic. The selected implementation is the one directly aligned with the constraints in the scenario.
Deployment traceability links operational behavior back to reviewed source and configuration.
Environment-specific security settings should vary by target without editing the shared ETL implementation.
A bundle expresses Databricks resources as code, enabling repeatable promotion instead of manual UI recreation.
A bundle contains a production-only warehouse ID but the development target lacks that warehouse, preventing local tests.
Which acceptance result most directly demonstrates that the intended solution works?
Target overrides let each environment use its own available infrastructure without copying the business logic.
An incident responder can identify the exact repository commit that produced the running job. That finding does not establish that development validation resolves its valid warehouse and production retains its original reference.
A production execution uses the production service principal and the dev job uses its permitted development identity. That finding does not establish that development validation resolves its valid warehouse and production retains its original reference.
Both workspaces contain the intended job DAG from the same reviewed source definition. That finding does not establish that development validation resolves its valid warehouse and production retains its original reference.
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