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This action is appropriate when a report consumer has Build permission but cannot connect to a protected source lakehouse. Build authorizes model reuse, not necessarily read rights on separate source items. However, the question instead requires Verify the effective connection identity and model security before assuming delegated per-user filtering. because fixed identity and single sign-on yield different security evaluation behavior.

This action is appropriate when a team combines OneLake table access rules and semantic RLS and sees unexpected effective filters. Layered security can create compounded restrictions that require end-to-end verification. However, the question instead requires Verify the effective connection identity and model security before assuming delegated per-user filtering. because fixed identity and single sign-on yield different security evaluation behavior.

This action is appropriate when a user can query a warehouse via SQL but receives an error opening its semantic model. Source SQL permissions do not automatically establish access to a separate semantic model item. However, the question instead requires Verify the effective connection identity and model security before assuming delegated per-user filtering. because fixed identity and single sign-on yield different security evaluation behavior.

This action is appropriate when a Fabric item does not appear in the Git change list even though the workspace is connected. Git integration supports specific item definitions, not every operational state or data file. However, the question instead requires Reconcile incoming and outgoing changes before selecting the workspace or Git version. because competing modifications require explicit review to avoid overwriting valid work.

This action is appropriate when an analytics team wants Fabric notebook and model definitions reviewed through an approved Git repository. Git integration records supported item definitions under version control for collaborative review. However, the question instead requires Reconcile incoming and outgoing changes before selecting the workspace or Git version. because competing modifications require explicit review to avoid overwriting valid work.

This action is appropriate when a repository connection uses an employee's personal identity that loses access at handover. Production source integrations should not depend on an employee's transient privileges. However, the question instead requires Reconcile incoming and outgoing changes before selecting the workspace or Git version. because competing modifications require explicit review to avoid overwriting valid work.

This action is appropriate when a developer changes data model columns and assumes Git automatically versions warehouse table rows. Source control is not a substitute for data retention, transactions or backup. However, the question instead requires Record the Git commit and deployment run identifier in the release evidence. because traceability requires connecting source revision to the actual deployed version.

This action is appropriate when a new feature branch contains a stale schema that conflicts with updated main. Merges can create semantic incompatibilities even when text conflicts are resolved. However, the question instead requires Record the Git commit and deployment run identifier in the release evidence. because traceability requires connecting source revision to the actual deployed version.

This action is appropriate when two developers need to edit semantic models concurrently without overwriting the main branch. Branching supports parallel work and controlled integration of definition changes. However, the question instead requires Record the Git commit and deployment run identifier in the release evidence. because traceability requires connecting source revision to the actual deployed version.

This action is appropriate when a compliance process requires a readable history of changes to a published semantic model. Text-based project definitions support version comparison and accountability. However, the question instead requires Validate connection configuration and required environment settings after opening the project. because versioned definitions do not guarantee an accessible data source in every environment.

This action is appropriate when an engineering team wants semantic-model and report definitions stored as reviewable project files. PBIP exposes project artifacts suitable for source-controlled collaboration. However, the question instead requires Validate connection configuration and required environment settings after opening the project. because versioned definitions do not guarantee an accessible data source in every environment.

This action is appropriate when two developers hand-edit related PBIP files and a merge produces invalid references. A syntactically merged repository can still contain broken model-to-report dependencies. However, the question instead requires Validate connection configuration and required environment settings after opening the project. because versioned definitions do not guarantee an accessible data source in every environment.

This action is appropriate when a release manager wants to compare changes before overriding the target production workspace. Predeployment comparison reduces accidental replacement of valid target artifacts. However, the question instead requires Plan data movement and persistence separately from supported item deployment. because deployment pipelines primarily manage the supported artifact lifecycle, not general bulk data migration.

This action is appropriate when a test workspace contains experimental items that should not be released. Deployment scope must reflect the release manifest rather than every test artifact. However, the question instead requires Plan data movement and persistence separately from supported item deployment. because deployment pipelines primarily manage the supported artifact lifecycle, not general bulk data migration.

This action is appropriate when a model must move through development, test and production without manually copying files. Deployment pipelines promote supported item definitions through controlled lifecycle stages. However, the question instead requires Plan data movement and persistence separately from supported item deployment. because deployment pipelines primarily manage the supported artifact lifecycle, not general bulk data migration.

This action is appropriate when a workspace owner changes the production connection identity after deployment and refresh now fails. A correct endpoint parameter still requires a valid identity and permissions. However, the question instead requires Check item and rule support rather than assuming every artifact has identical override capabilities. because deployment rules vary by artifact support and property type.

This action is appropriate when a semantic model points to a development SQL endpoint after promotion into production. Environment-specific connection values must be adjusted independently of logical model definitions. However, the question instead requires Check item and rule support rather than assuming every artifact has identical override capabilities. because deployment rules vary by artifact support and property type.

This action is appropriate when a production release works when manually patched but a redeployment restores test settings. Ad hoc target edits are not a reliable substitute for repeatable deployment configuration. However, the question instead requires Check item and rule support rather than assuming every artifact has identical override capabilities. because deployment rules vary by artifact support and property type.

This action is appropriate when a workspace rename is proposed and stakeholders assume the dashboard visuals are the only dependency. Not all dependencies are visible in the report canvas. However, the question instead requires Trace dependency paths from the table through views and the semantic model. because multi-hop lineage reveals impacts beyond the nearest direct consumer.

This action is appropriate when a deployment completed but key reports are failing because a dependent artifact was not promoted. A release can pass item upload yet fail at runtime when its dependency graph is incomplete. However, the question instead requires Trace dependency paths from the table through views and the semantic model. because multi-hop lineage reveals impacts beyond the nearest direct consumer.

This action is appropriate when a source warehouse column will be renamed and the team cannot identify affected downstream reports. Dependency review exposes consumers that may break from a source-schema change. However, the question instead requires Trace dependency paths from the table through views and the semantic model. because multi-hop lineage reveals impacts beyond the nearest direct consumer.

This action is appropriate when an XMLA change adds a model table and reports fail because the new table has no processed data. Model schema availability and populated queryable data are separate lifecycle states. However, the question instead requires Treat model metadata deployment and data processing or refresh as separate tasks. because model definitions can be deployed without automatically processing all underlying data.

This action is appropriate when an enterprise semantic model must be managed using supported external tabular-model tools. XMLA exposes compatible tabular model metadata for lifecycle automation. However, the question instead requires Treat model metadata deployment and data processing or refresh as separate tasks. because model definitions can be deployed without automatically processing all underlying data.

This action is appropriate when a model automation script must update a measure but not replace unrelated report assets. Tabular metadata changes can be scoped without redeploying a whole reporting workspace. However, the question instead requires Treat model metadata deployment and data processing or refresh as separate tasks. because model definitions can be deployed without automatically processing all underlying data.

This action is appropriate when a template is copied to a new environment and still points to old dataset locations. Reusable structure does not eliminate environment-specific source setup. However, the question instead requires Remove sensitive credentials and use supported secure connection configuration. because a reusable template should never become an uncontrolled credential distribution channel.

This action is appropriate when a report designer mistakenly treats a PBIDS connection file as an importable semantic model with measures. Data source descriptors do not contain the complete analytical model. However, the question instead requires Remove sensitive credentials and use supported secure connection configuration. because a reusable template should never become an uncontrolled credential distribution channel.

This action is appropriate when consultants need to reuse a report layout and query definitions without distributing embedded data. PBIT can package reusable report structure while prompting for data connections. However, the question instead requires Remove sensitive credentials and use supported secure connection configuration. because a reusable template should never become an uncontrolled credential distribution channel.

This action is appropriate when a new semantic model owner wants to prevent a shared model refresh from blocking unrelated reports without knowing impact. Operational stewardship of reusable assets includes refresh reliability and consumer communication. However, the question instead requires Version and review shared semantic model changes using dependency and contract checks. because shared assets require change governance because one modification affects many reports.

This action is appropriate when several reports repeat the same revenue definitions and yield inconsistent totals. Centralizing measures reduces metric drift between independently authored reports. However, the question instead requires Version and review shared semantic model changes using dependency and contract checks. because shared assets require change governance because one modification affects many reports.

This action is appropriate when a report uses a local dataset copy even though a centrally approved model already exists. Reuse preserves consistent dimensions and certified measures across reports. However, the question instead requires Version and review shared semantic model changes using dependency and contract checks. because shared assets require change governance because one modification affects many reports.

This action is appropriate when a connector returns encrypted-transport errors after a database certificate changes. TLS trust failures require secure endpoint remediation rather than disabling verification. However, the question instead requires Move credentials into approved managed connections or secret storage and rotate the exposed secret. because source code is not a secure place for long-lived production credentials.

This action is appropriate when an analytics workspace has several datasets using separate copies of the same connection settings. Central connection ownership simplifies credential rotation and consistent configuration. However, the question instead requires Move credentials into approved managed connections or secret storage and rotate the exposed secret. because source code is not a secure place for long-lived production credentials.

This action is appropriate when a warehouse analyst must query an external SQL source using an approved cloud connector. A connection specifies source endpoint and authentication information for governed reuse. However, the question instead requires Move credentials into approved managed connections or secret storage and rotate the exposed secret. because source code is not a secure place for long-lived production credentials.