Exam Bundle

The outliers remain visible and the summary differentiates typical from extreme refunds. That check would be meaningful for the separate case: A retail report has a few exceptionally large refunds that distort the average. It would not directly verify this scenario's selected implementation: Review time granularity and seasonality assumptions before interpreting anomaly points.

Branch totals reconcile with the cancellation measure as users drill down. That check would be meaningful for the separate case: A customer retention report needs a decomposition tree to break cancellations by channel, product and region. It would not directly verify this scenario's selected implementation: Review time granularity and seasonality assumptions before interpreting anomaly points.

The explanation highlights verifiable categories associated with the observed change. That check would be meaningful for the separate case: An analyst wants Power BI to explain a sudden rise in returns by examining category and region dimensions. It would not directly verify this scenario's selected implementation: Review time granularity and seasonality assumptions before interpreting anomaly points.

Using 'Add a constant line or target-reference setting at the intended value' supports the result 'The target line appears at the approved amount and retains its units' for A finance chart should display an approved target amount as a horizontal reference line. It does not implement 'Review the Copilot-generated summary against the authorized semantic model and filters' or prove 'Statements and numbers reconcile to authorized model measures with source context' for this question.

'Use breakdown or explanatory analysis while maintaining appropriate time and product filters' is validated when 'The identified product contribution sums to the observed profit change under the chosen comparison' for A manager wants to know whether a drop in profit is associated with a particular product mix change. It does not demonstrate 'Statements and numbers reconcile to authorized model measures with source context', which requires 'Review the Copilot-generated summary against the authorized semantic model and filters'.

A successful 'Group or bin ages using explicitly defined intervals' would show 'Every test age falls into the intended cohort and totals are preserved' for A sales report has a continuous CustomerAge field but business users need cohorts such as 18–24 and 25–34. This case needs 'Review the Copilot-generated summary against the authorized semantic model and filters' and evidence that 'Statements and numbers reconcile to authorized model measures with source context', not the other outcome.

Every test age falls into the intended cohort and totals are preserved. That check would be meaningful for the separate case: A sales report has a continuous CustomerAge field but business users need cohorts such as 18–24 and 25–34. It would not directly verify this scenario's selected implementation: Review the Copilot-generated summary against the authorized semantic model and filters.

The identified product contribution sums to the observed profit change under the chosen comparison. That check would be meaningful for the separate case: A manager wants to know whether a drop in profit is associated with a particular product mix change. It would not directly verify this scenario's selected implementation: Review the Copilot-generated summary against the authorized semantic model and filters.

The target line appears at the approved amount and retains its units. That check would be meaningful for the separate case: A finance chart should display an approved target amount as a horizontal reference line. It would not directly verify this scenario's selected implementation: Review the Copilot-generated summary against the authorized semantic model and filters.

The check for 'Configure error bars using supported error bounds or statistical measures' is 'Each error bar represents the documented upper and lower uncertainty values' for A performance engineer needs error bars showing variability around average latency by service. That does not establish 'The warehouse-level changes sum to the total observed cost change'; the stated requirement calls for 'Use a measure-consistent comparison by warehouse and period, optionally with a decomposition visual'.

'Validate coordinates and location categories before treating the point as a sales outlier' addresses the mechanism measured by 'Corrected location data resolves the misplaced point or confirms it is a genuine outlier' for A map-based sales report seems to show an isolated high-revenue location that may be a geocoding error. The current outcome is 'The warehouse-level changes sum to the total observed cost change' after 'Use a measure-consistent comparison by warehouse and period, optionally with a decomposition visual', which the distractor leaves unverified.

'Products with similar sales-margin patterns are grouped and outliers remain inspectable' would demonstrate 'Use an appropriate clustering feature with validated numerical input measures' for A retailer has hundreds of products and wants to cluster them by sales volume and margin, but not 'The warehouse-level changes sum to the total observed cost change'. The latter requires 'Use a measure-consistent comparison by warehouse and period, optionally with a decomposition visual' in this scenario.

Products with similar sales-margin patterns are grouped and outliers remain inspectable. That check would be meaningful for the separate case: A retailer has hundreds of products and wants to cluster them by sales volume and margin. It would not directly verify this scenario's selected implementation: Use a measure-consistent comparison by warehouse and period, optionally with a decomposition visual.

Corrected location data resolves the misplaced point or confirms it is a genuine outlier. That check would be meaningful for the separate case: A map-based sales report seems to show an isolated high-revenue location that may be a geocoding error. It would not directly verify this scenario's selected implementation: Use a measure-consistent comparison by warehouse and period, optionally with a decomposition visual.

Each error bar represents the documented upper and lower uncertainty values. That check would be meaningful for the separate case: A performance engineer needs error bars showing variability around average latency by service. It would not directly verify this scenario's selected implementation: Use a measure-consistent comparison by warehouse and period, optionally with a decomposition visual.

Publishing a report into an already authorized workspace deploys artifacts; it does not establish a newly required collaboration space or assign its membership roles. The scenario asks for workspace creation/configuration and role-based edit access.

'Configure a Power BI subscription for the authorized recipient and schedule' is validated when 'The recipient receives the scheduled content under supported licensing and access rules' for A department wants a recurring emailed snapshot of a report every Monday. It does not demonstrate 'Only approved team members can edit workspace artifacts according to their assigned roles', which requires 'Create or configure an appropriate Power BI workspace and assign authorized roles'.

A successful 'Update semantic model or gateway data source credentials and rerun refresh' would show 'Refresh history records a successful authenticated run afterward' for A nightly refresh failed because database credentials expired, but the report remained accessible. This case needs 'Create or configure an appropriate Power BI workspace and assign authorized roles' and evidence that 'Only approved team members can edit workspace artifacts according to their assigned roles', not the other outcome.

The recipient receives the scheduled content under supported licensing and access rules. That check would be meaningful for the separate case: A department wants a recurring emailed snapshot of a report every Monday. It would not directly verify this scenario's selected implementation: Create or configure an appropriate Power BI workspace and assign authorized roles.

Refresh history records a successful authenticated run afterward. That check would be meaningful for the separate case: A nightly refresh failed because database credentials expired, but the report remained accessible. It would not directly verify this scenario's selected implementation: Create or configure an appropriate Power BI workspace and assign authorized roles.

The workspace lists the intended report and model with expected permissions. That check would be meaningful for the separate case: An analyst built a PBIX file locally and wants it available to the Power BI service workspace. It would not directly verify this scenario's selected implementation: Create or configure an appropriate Power BI workspace and assign authorized roles.

The check for 'Create a thin report connected to the shared semantic model and publish it to the destination workspace' is 'The new report uses the same governed model identifier and approved measures' for A central team has a reusable model and wants an additional report using that model without duplicating it. That does not establish 'App consumers can access packaged reports without Contributor rights in the workspace'; the stated requirement calls for 'Publish an app from the workspace for the approved audience'.

'Choose appropriate direct report sharing and grant only necessary permissions' addresses the mechanism measured by 'Only explicitly authorized recipients can open the report' for A report owner wants to share with a small named audience but avoid publishing a broad app. The current outcome is 'App consumers can access packaged reports without Contributor rights in the workspace' after 'Publish an app from the workspace for the approved audience', which the distractor leaves unverified.

'Consumers can identify when the underlying imported data last changed' would demonstrate 'Expose the model's last-refresh status or appropriate freshness measure' for A report owner needs to notify a team that source data is three days old, but not 'App consumers can access packaged reports without Contributor rights in the workspace'. The latter requires 'Publish an app from the workspace for the approved audience' in this scenario.

The new report uses the same governed model identifier and approved measures. That check would be meaningful for the separate case: A central team has a reusable model and wants an additional report using that model without duplicating it. It would not directly verify this scenario's selected implementation: Publish an app from the workspace for the approved audience.

Consumers can identify when the underlying imported data last changed. That check would be meaningful for the separate case: A report owner needs to notify a team that source data is three days old. It would not directly verify this scenario's selected implementation: Publish an app from the workspace for the approved audience.

Only explicitly authorized recipients can open the report. That check would be meaningful for the separate case: A report owner wants to share with a small named audience but avoid publishing a broad app. It would not directly verify this scenario's selected implementation: Publish an app from the workspace for the approved audience.

Using 'Apply a Promoted endorsement where the organization permits it' supports the result 'The model displays the Promoted label without falsely claiming certification' for A sales model should be marked as a recommended reusable organizational asset but not formally certified. It does not implement 'Update or republish the app after publishing the revised workspace content' or prove 'The app audience sees the intended revised report version' for this question.

'Define the app content and audience access carefully before publishing' is validated when 'A consumer can open the approved reports but not unreleased draft pages' for A workspace contains several draft assets; managers should see only a subset in the released app. It does not demonstrate 'The app audience sees the intended revised report version', which requires 'Update or republish the app after publishing the revised workspace content'.

A successful 'Pin the desired report visual to a dashboard in the Power BI service' would show 'The dashboard tile shows the expected revenue summary and opens its source when selected' for An executive wants to pin a single revenue visual from a report to a lightweight dashboard tile. This case needs 'Update or republish the app after publishing the revised workspace content' and evidence that 'The app audience sees the intended revised report version', not the other outcome.

A consumer can open the approved reports but not unreleased draft pages. That check would be meaningful for the separate case: A workspace contains several draft assets; managers should see only a subset in the released app. It would not directly verify this scenario's selected implementation: Update or republish the app after publishing the revised workspace content.

The model displays the Promoted label without falsely claiming certification. That check would be meaningful for the separate case: A sales model should be marked as a recommended reusable organizational asset but not formally certified. It would not directly verify this scenario's selected implementation: Update or republish the app after publishing the revised workspace content.

The dashboard tile shows the expected revenue summary and opens its source when selected. That check would be meaningful for the separate case: An executive wants to pin a single revenue visual from a report to a lightweight dashboard tile. It would not directly verify this scenario's selected implementation: Update or republish the app after publishing the revised workspace content.