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The action Push filtering and prune unused dimension columns solves a report repeatedly joins several wide dimensions that are rarely needed because unnecessary dimension joins and wide rows increase distributed work; it does not by itself solve one query is slow only because the source is repeatedly read for the same static input, whereas Evaluate materializing a reused intermediate dataset when justified by the workload does.

Choosing Drop all statistics objects to force the engine to guess cardinalities would not satisfy the case condition (one query is slow only because the source is repeatedly read for the same static input), because missing statistics can degrade plans and rarely solves query cost by itself; Evaluate materializing a reused intermediate dataset when justified by the workload preserves the intended result.

Although Review automatic statistics and relevant plan estimates before changing physical design fits the separate issue that a query plan becomes inefficient after the distribution of values shifts significantly because data skew and cardinality changes can lead to poor optimizer choices, this case concerns one query is slow only because the source is repeatedly read for the same static input and should be resolved with Evaluate materializing a reused intermediate dataset when justified by the workload.

For an external data folder must be read without making a second copy, Create an authorized OneLake shortcut to the external folder under the appropriate lakehouse Files path can be justified because a shortcut avoids duplicating the underlying bytes while making a governed remote path accessible to Spark; for this scenario involving the storage administrator needs to establish which source system owns a shared shortcut, the targeted response is Record and inspect the shortcut target, credential mode and source ownership.

Although Place or register the supported Delta table under the lakehouse Tables structure fits the separate issue that an incoming Delta table is represented as many raw files but should appear as a managed table because the Tables area discovers Delta datasets as tables, whereas arbitrary files under Files are not automatically equivalent, this case concerns the storage administrator needs to establish which source system owns a shared shortcut and should be resolved with Record and inspect the shortcut target, credential mode and source ownership.

The option Copy external credentials into every notebook source cell to make OneLake shortcuts work fails to meet the storage administrator needs to establish which source system owns a shared shortcut, given that storing credentials in code creates secret exposure and does not establish proper identity governance; Record and inspect the shortcut target, credential mode and source ownership is the correct scope of action.

Applying Expose production connection credentials in a public branch to make promotion reproducible when test and production need a controlled artifact promotion path would introduce a defect because source control must not become a secrets distribution mechanism; a direct solution is Configure stages in a Fabric deployment pipeline and compare paired items before deployment.

Option Investigate drift and restore a controlled promotion process with recorded approvals would focus on the separate issue that a developer changes an item in production that differs from the Git-reviewed revision because unreviewed production edits should be reconciled, not treated as the new authoritative source silently, not the current requirement that test and production need a controlled artifact promotion path; the appropriate remedy is Configure stages in a Fabric deployment pipeline and compare paired items before deployment.

The option Connect supported Fabric items to a Git repository and use reviewed branches applies to the separate issue that developers need to version notebook and pipeline definitions with code review, because git integration records supported item definitions and enables controlled changes before synchronization; the current condition is test and production need a controlled artifact promotion path, which calls for Configure stages in a Fabric deployment pipeline and compare paired items before deployment.

Although Inspect the shortcut credential and authentication mode before evaluating access fits the separate issue that architects want to know which identity an external shortcut uses to reach storage because source connectivity may use user passthrough or configured connection credentials depending on shortcut type, this case concerns a consumer workspace Admin is denied data stored in a producer workspace and should be resolved with Review source-side OneLake permissions rather than relying on the consumer's workspace role.

The option Copy the producer's confidential table into a public lakehouse merely to bypass shortcut authorization fails to meet a consumer workspace Admin is denied data stored in a producer workspace, given that replicating restricted source data into an unrestricted destination defeats the intended security boundary; Review source-side OneLake permissions rather than relying on the consumer's workspace role is the correct scope of action.

The option Preserve source-target security and test the effective intersected permissions applies to the separate issue that a team grants broad rights at the shortcut folder but source policy still restricts rows, because shortcut path permissions and target restrictions combine; the consumer cannot broaden the producer's data grant; the current condition is a consumer workspace Admin is denied data stored in a producer workspace, which calls for Review source-side OneLake permissions rather than relying on the consumer's workspace role.

The option Create parallel pipeline activity branches with a final convergence dependency applies to the separate issue that two independent enrichment steps can execute concurrently without affecting correctness, because independent branches reduce unnecessary serialization while preserving downstream join conditions; the current condition is operators must rerun one arrival without processing all earlier manifests, which calls for Pass flight batch ID and source path as pipeline and notebook parameters.

Configure an On Success activity dependency from Copy to the notebook is useful when a pipeline should invoke the notebook only after Copy activity completes successfully, since activity edges make execution dependent on source completion rather than mere pipeline invocation; however, the actual requirement is operators must rerun one arrival without processing all earlier manifests, which calls for Pass flight batch ID and source path as pipeline and notebook parameters.

Choosing Treat every failed notebook activity as success so the next step always runs would not satisfy the case condition (operators must rerun one arrival without processing all earlier manifests), because concealing failure would produce incomplete or misleading downstream datasets; Pass flight batch ID and source path as pipeline and notebook parameters preserves the intended result.

Combine schedules and incident facts into one table without a defined business grain would not satisfy route schedules represent a replacement state while incidents are append-only observations because mixed-grain data complicates correct grouping and produces duplicate joins; the defensible response is Use full/replace loading for authoritative schedule snapshots and append ingestion for immutable incidents.

The action Preserve effective dates and apply the appropriate as-of version when building reports solves a schedule update has an effective date in the future because a future timetable should not retroactively rewrite current historical service statistics; it does not by itself solve route schedules represent a replacement state while incidents are append-only observations, whereas Use full/replace loading for authoritative schedule snapshots and append ingestion for immutable incidents does.

For a telemetry incident is received late after its reporting period closed, Reprocess the affected event-time partition and refresh derived aggregates can be justified because late arrival changes a past time bucket even when it was received today; for this scenario involving route schedules represent a replacement state while incidents are append-only observations, the targeted response is Use full/replace loading for authoritative schedule snapshots and append ingestion for immutable incidents.

For this requirement of a case report contains an invalid negative age, Interpret a null diagnosis code as an observed confirmed disease state would be unsafe or ineffective because missing clinical values are not positive evidence; apply Quarantine the record under an explicit data-quality failure rule instead.

The action Group validated event timestamps using the defined business week calendar solves weekly counts must use an epidemiological week derived from event date because reporting-week conventions must be consistent across periods and regions; it does not by itself solve a case report contains an invalid negative age, whereas Quarantine the record under an explicit data-quality failure rule does.

Although Deduplicate using the case ID and authoritative revision order fits the separate issue that duplicate case reports differ by submission time and approved revision number because sorting by arrival time alone can choose an outdated record, this case concerns a case report contains an invalid negative age and should be resolved with Quarantine the record under an explicit data-quality failure rule.

The action Validate source tenant identity and apply scoped routing or query filters solves each tenant's events must be routed under its verified tenant identifier because multi-tenant analytics should use authenticated source identifiers, not untrusted display names; it does not by itself solve historical KQL queries are slow and mostly access the latest few days, whereas Apply query acceleration with a cache period reflecting actual hot data does.

Applying Give tenants a shared KQL login with unrestricted cross-tenant table access when historical KQL queries are slow and mostly access the latest few days would introduce a defect because tenant isolation requires enforced identity and row or source boundaries; a direct solution is Apply query acceleration with a cache period reflecting actual hot data.

Although Use native KQL ingestion with an approved retention and access policy fits the separate issue that the Eventhouse should retain short-term searchable log events for operational triage because eventhouse supports event-oriented searches and configurable operational data management, this case concerns historical KQL queries are slow and mostly access the latest few days and should be resolved with Apply query acceleration with a cache period reflecting actual hot data.

Although Compare source and sink copy metrics and reconcile keys for the affected batch fits the separate issue that copy succeeded but the target row count is unexpectedly low because transport success does not establish complete business data coverage, this case concerns operations wants an alert when the daily processing SLA is missed and should be resolved with Configure a supported failure or delay alert tied to measured run state and time.

Option Inspect pipeline run and per-activity status in the Fabric Monitoring hub would focus on the separate issue that morning reports omit a full day after an unattended run because end-to-end success must be established from the actual execution and its dependent activities, not the current requirement that operations wants an alert when the daily processing SLA is missed; the appropriate remedy is Configure a supported failure or delay alert tied to measured run state and time.

For this requirement of operations wants an alert when the daily processing SLA is missed, Declare the whole analytics system healthy whenever one Copy activity is green would be unsafe or ineffective because partial orchestration success can coexist with a failed semantic refresh; apply Configure a supported failure or delay alert tied to measured run state and time instead.

Although Serialize or safely coordinate dataset-level checkpoint writes fits the separate issue that two concurrent pipeline runs overwrite the same progress checkpoint because racing updates can advance the watermark beyond uncommitted source changes, this case concerns a watermark column changed from datetime to free-text format and should be resolved with Correct source extraction and validated watermark parsing before advancing state.

Option Implement delete-aware CDC or reconciliation of tombstones would focus on the separate issue that a source system deleted records but the target retains them because an append-only incremental load cannot infer removals without deletion evidence, not the current requirement that a watermark column changed from datetime to free-text format; the appropriate remedy is Correct source extraction and validated watermark parsing before advancing state.

Choosing Move the watermark to tomorrow after a failed run to prevent further errors would not satisfy the case condition (a watermark column changed from datetime to free-text format), because advancing progress past uncommitted records causes permanent data gaps; Correct source extraction and validated watermark parsing before advancing state preserves the intended result.

Option Run a supported Delta OPTIMIZE or compaction operation on the affected table would focus on the separate issue that query startup time rises as new micro-batches produce many small files because compaction reduces the number of small files read and managed by the query engine, not the current requirement that the team wants to keep enough history for rollback before cleanup; the appropriate remedy is Set a retention policy consistent with the required Delta time-travel and recovery window.

Choosing Delete the Delta transaction log because the table has too many small files would not satisfy the case condition (the team wants to keep enough history for rollback before cleanup), because removing transaction metadata breaks consistency and is not file compaction; Set a retention policy consistent with the required Delta time-travel and recovery window preserves the intended result.

The action Use VACUUM with an approved retention threshold after reviewing time-travel needs solves the company wants to reclaim storage occupied by old unreferenced files because vACUUM removes unreferenced old files and can restrict historical recovery; it is not primarily a query speed optimization; it does not by itself solve the team wants to keep enough history for rollback before cleanup, whereas Set a retention policy consistent with the required Delta time-travel and recovery window does.