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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.
A company releases changes through separate manual steps with no recorded mapping between source commit and deployed job definition.
Which implementation decision best addresses this requirement?
Deployment traceability links operational behavior back to reviewed source and configuration. The selected implementation is the one directly aligned with the constraints in the scenario.
Version control plus repeatable deployment enables controlled rollback without reconstructing a workspace by hand.
Bundles can package multiple related Databricks resources and promote their configuration together.
Databricks Connect supports interactive local development while Spark API operations execute on Databricks compute.
A company releases changes through separate manual steps with no recorded mapping between source commit and deployed job definition.
Which acceptance result most directly demonstrates that the intended solution works?
Deployment traceability links operational behavior back to reviewed source and configuration.
The prior tested notebook and job settings are restored from source and the broken release is no longer active.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 an incident responder can identify the exact repository commit that produced the running job.
The target workspace contains the expected pipeline and the job points to that deployed pipeline. That finding does not establish that an incident responder can identify the exact repository commit that produced the running job.
The developer runs a local debug session whose Spark transformations execute on the approved remote compute. That finding does not establish that an incident responder can identify the exact repository commit that produced the running job.
A team wants to roll back a broken pipeline but has overwritten its only local notebook copy and never used source control.
Which implementation decision best addresses this requirement?
Version control plus repeatable deployment enables controlled rollback without reconstructing a workspace by hand. The selected implementation is the one directly aligned with the constraints in the scenario.
Environment-specific security settings should vary by target without editing the shared ETL implementation.
The bundle lifecycle establishes resources through deployment before they are invoked.
Branch-based review separates experimental code from the protected production deployment history.
A team wants to roll back a broken pipeline but has overwritten its only local notebook copy and never used source control.
Which acceptance result most directly demonstrates that the intended solution works?
Version control plus repeatable deployment enables controlled rollback without reconstructing a workspace by hand.
A production execution uses the production service principal and the dev job uses its permitted development identity. That finding does not establish that the prior tested notebook and job settings are restored from source and the broken release is no longer active.
The run command succeeds once the named resource exists in the selected target. That finding does not establish that the prior tested notebook and job settings are restored from source and the broken release is no longer active.
A feature branch is reviewed and merged before the release pipeline deploys the code. That finding does not establish that the prior tested notebook and job settings are restored from source and the broken release is no longer active.
An engineer wants different run-as identities in dev and production while maintaining the same common bundle task definitions.
Which implementation decision best addresses this requirement?
Environment-specific security settings should vary by target without editing the shared ETL implementation. The selected implementation is the one directly aligned with the constraints in the scenario.
Bundles can package multiple related Databricks resources and promote their configuration together.
A bundle expresses Databricks resources as code, enabling repeatable promotion instead of manual UI recreation.
Local commits do not become available to remote build agents until the branch is pushed.
An engineer wants different run-as identities in dev and production while maintaining the same common bundle task definitions.
Which acceptance result most directly demonstrates that the intended solution works?
Environment-specific security settings should vary by target without editing the shared ETL implementation.
The target workspace contains the expected pipeline and the job points to that deployed pipeline. That finding does not establish that a production execution uses the production service principal and the dev job uses its permitted development identity.
Both workspaces contain the intended job DAG from the same reviewed source definition. That finding does not establish that a production execution uses the production service principal and the dev job uses its permitted development identity.
The remote branch contains the expected commit and the CI runner checks out the new files. That finding does not establish that a production execution uses the production service principal and the dev job uses its permitted development identity.
A project contains both a Lakeflow pipeline and a scheduled job that invokes it, and release automation must deploy both consistently.
Which implementation decision best addresses this requirement?
Bundles can package multiple related Databricks resources and promote their configuration together. The selected implementation is the one directly aligned with the constraints in the scenario.
The bundle lifecycle establishes resources through deployment before they are invoked.
Databricks Connect supports interactive local development while Spark API operations execute on Databricks compute.
Feature branches isolate work-in-progress revisions from the main release line.
A project contains both a Lakeflow pipeline and a scheduled job that invokes it, and release automation must deploy both consistently.
Which acceptance result most directly demonstrates that the intended solution works?
Bundles can package multiple related Databricks resources and promote their configuration together.
The run command succeeds once the named resource exists in the selected target. That finding does not establish that the target workspace contains the expected pipeline and the job points to that deployed pipeline.
The developer runs a local debug session whose Spark transformations execute on the approved remote compute. That finding does not establish that the target workspace contains the expected pipeline and the job points to that deployed pipeline.
The main branch retains its original notebook content until the reviewed change is merged. That finding does not establish that the target workspace contains the expected pipeline and the job points to that deployed pipeline.
An engineer tests a deployment using databricks bundle run before any resources have been deployed to that target.
Which implementation decision best addresses this requirement?
The bundle lifecycle establishes resources through deployment before they are invoked. The selected implementation is the one directly aligned with the constraints in the scenario.
A bundle expresses Databricks resources as code, enabling repeatable promotion instead of manual UI recreation.
Branch-based review separates experimental code from the protected production deployment history.
A workspace Git folder must reflect the remote revision intended for release.
An engineer tests a deployment using databricks bundle run before any resources have been deployed to that target.
Which acceptance result most directly demonstrates that the intended solution works?
The bundle lifecycle establishes resources through deployment before they are invoked.
Both workspaces contain the intended job DAG from the same reviewed source definition. That finding does not establish that the run command succeeds once the named resource exists in the selected target.
A feature branch is reviewed and merged before the release pipeline deploys the code. That finding does not establish that the run command succeeds once the named resource exists in the selected target.
The deployed notebook commit matches the approved remote main-branch revision. That finding does not establish that the run command succeeds once the named resource exists in the selected target.
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