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A branch task has been added, but both the success and failure publication paths still execute because their dependency conditions were not set correctly.
Which acceptance result most directly demonstrates that the intended solution works?
Conditional DAG edges must encode the branch decision; merely adding a task does not restrict both paths.
The run graph shows bronze completed before silver starts and silver is skipped when bronze fails. That finding does not establish that a failing condition runs only the rejection path while a passing condition enables publication.
A simulated one-time timeout is retried and the task completes within the configured retry limit. That finding does not establish that a failing condition runs only the rejection path while a passing condition enables publication.
Run outputs show region-specific results while source code remains one reusable asset. That finding does not establish that a failing condition runs only the rejection path while a passing condition enables publication.
A team manually creates the same Lakeflow Job in development and production and repeatedly forgets a task dependency during migration.
Which implementation decision best addresses this requirement?
A bundle expresses Databricks resources as code, enabling repeatable promotion instead of manual UI recreation. The selected implementation is the one directly aligned with the constraints in the scenario.
Databricks Connect supports interactive local development while Spark API operations execute on Databricks compute.
Local commits do not become available to remote build agents until the branch is pushed.
Target-specific configuration allows the same codebase to deploy to different workspaces safely.
A team manually creates the same Lakeflow Job in development and production and repeatedly forgets a task dependency during migration.
Which acceptance result most directly demonstrates that the intended solution works?
A bundle expresses Databricks resources as code, enabling repeatable promotion instead of manual UI recreation.
The developer runs a local debug session whose Spark transformations execute on the approved remote compute. That finding does not establish that both workspaces contain the intended job DAG from the same reviewed source definition.
The remote branch contains the expected commit and the CI runner checks out the new files. That finding does not establish that both workspaces contain the intended job DAG from the same reviewed source definition.
The production target deploys to its approved host and does not modify development assets. That finding does not establish that both workspaces contain the intended job DAG from the same reviewed source definition.
An engineer changes notebooks locally and wants to test Spark DataFrame code against Databricks compute from an IDE before opening a pull request.
Which implementation decision best addresses this requirement?
Databricks Connect supports interactive local development while Spark API operations execute on Databricks compute. The selected implementation is the one directly aligned with the constraints in the scenario.
Branch-based review separates experimental code from the protected production deployment history.
Feature branches isolate work-in-progress revisions from the main release line.
Environment variables keep source code common while allowing controlled resource and configuration differences.
An engineer changes notebooks locally and wants to test Spark DataFrame code against Databricks compute from an IDE before opening a pull request.
Which acceptance result most directly demonstrates that the intended solution works?
Databricks Connect supports interactive local development while Spark API operations execute on Databricks compute.
A feature branch is reviewed and merged before the release pipeline deploys the code. That finding does not establish that the developer runs a local debug session whose Spark transformations execute on the approved remote compute.
The main branch retains its original notebook content until the reviewed change is merged. That finding does not establish that the developer runs a local debug session whose Spark transformations execute on the approved remote compute.
Staging writes to staging resources while production writes to its independently governed targets. That finding does not establish that the developer runs a local debug session whose Spark transformations execute on the approved remote compute.
A data engineering repository needs a formal code review before changes enter the production deployment branch.
Which implementation decision best addresses this requirement?
Branch-based review separates experimental code from the protected production deployment history. The selected implementation is the one directly aligned with the constraints in the scenario.
Local commits do not become available to remote build agents until the branch is pushed.
A workspace Git folder must reflect the remote revision intended for release.
Bundle validation checks configuration resolution and catches many definition issues before deployment.
A data engineering repository needs a formal code review before changes enter the production deployment branch.
Which acceptance result most directly demonstrates that the intended solution works?
Branch-based review separates experimental code from the protected production deployment history.
The remote branch contains the expected commit and the CI runner checks out the new files. That finding does not establish that a feature branch is reviewed and merged before the release pipeline deploys the code.
The deployed notebook commit matches the approved remote main-branch revision. That finding does not establish that a feature branch is reviewed and merged before the release pipeline deploys the code.
An invalid resource reference causes validation to report an error without creating the target job. That finding does not establish that a feature branch is reviewed and merged before the release pipeline deploys the code.
A developer commits notebooks in a Databricks Git folder but forgets to push, and the CI runner cannot see the changes.
Which implementation decision best addresses this requirement?
Local commits do not become available to remote build agents until the branch is pushed. The selected implementation is the one directly aligned with the constraints in the scenario.
Feature branches isolate work-in-progress revisions from the main release line.
Target-specific configuration allows the same codebase to deploy to different workspaces safely.
Validation and deployment are different operations; deploy creates or updates configured Databricks resources.
A developer commits notebooks in a Databricks Git folder but forgets to push, and the CI runner cannot see the changes.
Which acceptance result most directly demonstrates that the intended solution works?
Local commits do not become available to remote build agents until the branch is pushed.
The main branch retains its original notebook content until the reviewed change is merged. That finding does not establish that the remote branch contains the expected commit and the CI runner checks out the new files.
The production target deploys to its approved host and does not modify development assets. That finding does not establish that the remote branch contains the expected commit and the CI runner checks out the new files.
The configured job resource appears in the target workspace after successful deployment. That finding does not establish that the remote branch contains the expected commit and the CI runner checks out the new files.
A team wants to test an experimental ETL change without modifying the shared main branch used by production.
Which implementation decision best addresses this requirement?
Feature branches isolate work-in-progress revisions from the main release line. The selected implementation is the one directly aligned with the constraints in the scenario.
A workspace Git folder must reflect the remote revision intended for release.
Environment variables keep source code common while allowing controlled resource and configuration differences.
The bundle CLI can execute a deployed resource by its logical bundle configuration name.
A team wants to test an experimental ETL change without modifying the shared main branch used by production.
Which acceptance result most directly demonstrates that the intended solution works?
Feature branches isolate work-in-progress revisions from the main release line.
The deployed notebook commit matches the approved remote main-branch revision. That finding does not establish that the main branch retains its original notebook content until the reviewed change is merged.
Staging writes to staging resources while production writes to its independently governed targets. That finding does not establish that the main branch retains its original notebook content until the reviewed change is merged.
A new job run appears for the intended deployed resource and target environment. That finding does not establish that the main branch retains its original notebook content until the reviewed change is merged.
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