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Misses requirement 1: Source code is not a secure place for long-lived production credentials. The substituted action, Standardize on an approved reusable Fabric connection where supported., is suited to a different situation: An analytics workspace has several datasets using separate copies of the same connection settings. It does not satisfy the specified requirement 1.

Misses requirement 1: Source code is not a secure place for long-lived production credentials. The substituted action, Create a Fabric connection with the supported source type and authorized credentials., is suited to a different situation: A warehouse analyst must query an external SQL source using an approved cloud connector. It does not satisfy the specified requirement 1.

Misses requirement 2: TLS trust failures require secure endpoint remediation rather than disabling verification. The substituted action, Verify gateway mapping and the scheduled execution identity's data source authorization., is suited to a different situation: A gateway-based source works for one developer but fails when a scheduled service job runs. It does not satisfy the specified requirement 2.

Misses requirement 1: Being able to discover metadata does not automatically authorize reading restricted rows. The substituted action, Search the OneLake catalog and inspect item ownership and endorsements., is suited to a different situation: An analyst cannot tell which of several similarly named datasets is the endorsed financial source. It does not satisfy the specified requirement 1.

Misses requirement 2: Catalog discoverability depends on reliable metadata, not only technical file paths. The substituted action, Browse the authorized Fabric lakehouse and OneLake catalog assets., is suited to a different situation: A BI engineer wants to discover lakehouse tables without copying their data into a local folder. It does not satisfy the specified requirement 2.

Misses requirement 1: Being able to discover metadata does not automatically authorize reading restricted rows. The substituted action, Check asset refresh history and data quality independently of catalog endorsement., is suited to a different situation: An engineer opens a catalog and assumes an endorsement badge indicates latest successful refresh. It does not satisfy the specified requirement 1.

Misses requirement 1: Stream discovery needs schema and ownership verification before downstream transformations. The substituted action, Apply source authorization and data-access controls before granting stream access., is suited to a different situation: A published Real-Time hub stream contains restricted data and a user assumes discovery means unrestricted subscription. It does not satisfy the specified requirement 1.

Misses requirement 1: Stream discovery needs schema and ownership verification before downstream transformations. The substituted action, Use Real-Time hub to locate the supported streams and event sources., is suited to a different situation: An operations analyst needs to discover approved live event streams already available in Fabric. It does not satisfy the specified requirement 1.

Misses requirement 2: Eventhouse is designed for streaming/time-series analytics with KQL queries. The substituted action, Evaluate a streaming event source available through Real-Time hub and its freshness contract., is suited to a different situation: A reporting requirement depends on second-level telemetry but the engineer selects a nightly CSV export. It does not satisfy the specified requirement 2.

Misses requirement 1: Shortcuts are references rather than automatic historical backups. The substituted action, Create an authorized OneLake shortcut to the source table or folder., is suited to a different situation: A product team wants to analyze an existing Delta table owned by another Fabric workspace without copying it. It does not satisfy the specified requirement 1.

Misses requirement 2: Downstream consumers need to identify the authoritative underlying dataset. The substituted action, Validate the shortcut connection identity and effective target storage permissions., is suited to a different situation: A shortcut points to an external object store but users are unexpectedly denied file access. It does not satisfy the specified requirement 2.

Misses requirement 1: Shortcuts are references rather than automatic historical backups. The substituted action, Review supported shortcut write semantics and enforce approved source-owner change policy., is suited to a different situation: An analytics pipeline writes modifications into a shortcut path and threatens source governance. It does not satisfy the specified requirement 1.

Misses requirement 1: Lakehouse Files and Tables support raw assets and managed analytical tables together. The substituted action, Use a compatible Spark lakehouse or notebook for Spark-specific transformations., is suited to a different situation: A warehouse user expects a full Spark notebook environment inside the T-SQL editor. It does not satisfy the specified requirement 1.

Misses requirement 1: Lakehouse Files and Tables support raw assets and managed analytical tables together. The substituted action, Choose a Fabric lakehouse for Spark-oriented Delta and file workloads., is suited to a different situation: A PySpark engineering team needs flexible Delta ingestion and notebook transformations over files. It does not satisfy the specified requirement 1.

Misses requirement 2: Eventhouse is primarily for event and time-series KQL scenarios. The substituted action, Choose a Fabric warehouse for the supported T-SQL warehouse workflow., is suited to a different situation: A finance team uses relational SQL modeling and stored procedures for a dimensional reporting store. It does not satisfy the specified requirement 2.

Misses requirement 1: Ingestion transformations should be observable and consistent with event schema contracts. The substituted action, Use an Eventhouse KQL database suited to telemetry queries., is suited to a different situation: A factory produces millions of timestamped machine readings and analysts need low-latency time filtering. It does not satisfy the specified requirement 1.

Misses requirement 2: Early filtering narrows scanned and returned event records. The substituted action, Choose KQL operators and supported update policies for event analytics., is suited to a different situation: A team ingests event records but assumes SQL stored procedures are the standard KQL database transformation interface. It does not satisfy the specified requirement 2.

Misses requirement 1: Ingestion transformations should be observable and consistent with event schema contracts. The substituted action, Evaluate supported OneLake integration for Eventhouse data or semantic consumption., is suited to a different situation: An event dataset needs to be visible to a semantic model without an unnecessary exported CSV copy. It does not satisfy the specified requirement 1.

Misses requirement 1: Dependency ordering prevents consumers from reading half-landed data. The substituted action, Configure an eligible gateway or managed connectivity path for that source., is suited to a different situation: A pipeline accesses an on-premises source available only through approved network infrastructure. It does not satisfy the specified requirement 1.

Misses requirement 1: Dependency ordering prevents consumers from reading half-landed data. The substituted action, Configure a supported Fabric pipeline Copy activity with scheduling and validation., is suited to a different situation: An internal SQL database must be copied nightly into a Fabric lakehouse for downstream transformations. It does not satisfy the specified requirement 1.

Misses requirement 2: Reliable ingestion must distinguish transient retries from duplicate business records. The substituted action, Compare landed counts and reconciliation evidence before promoting the output., is suited to a different situation: A pipeline reports success but a source export was only partially delivered. It does not satisfy the specified requirement 2.

Misses requirement 1: Re-running an ingestion flow must not accidentally multiply source records. The substituted action, Use Dataflow Gen2 with suitable Power Query transformations and an approved destination., is suited to a different situation: Business analysts want to ingest several CSV exports and standardize columns through a visual transformation interface. It does not satisfy the specified requirement 1.

Misses requirement 2: Editing a preview does not prove the deployed sink is writable. The substituted action, Set the appropriate data type and locale conversion before loading the target., is suited to a different situation: A Power Query step casts a locale-specific date incorrectly and the dataflow writes nulls. It does not satisfy the specified requirement 2.

Misses requirement 1: Re-running an ingestion flow must not accidentally multiply source records. The substituted action, Centralize the supported transformations in a governed Dataflow Gen2 asset., is suited to a different situation: A pipeline needs a reusable curated query but operators duplicated its M steps in every report. It does not satisfy the specified requirement 1.

Misses requirement 1: Data existence in OneLake does not guarantee its inclusion in the model. The substituted action, Prefer supported native OneLake and Direct Lake interfaces when they meet requirements., is suited to a different situation: An integration proposal suggests converting all Delta source tables into CSV before building reports. It does not satisfy the specified requirement 1.

Misses requirement 1: Data existence in OneLake does not guarantee its inclusion in the model. The substituted action, Evaluate Direct Lake integration with supported OneLake-backed tables., is suited to a different situation: An analytics model needs direct access to eligible Delta tables with low-latency updates and no traditional Import copy. It does not satisfy the specified requirement 1.

Misses requirement 2: Direct Lake model metadata must recognize an updated source snapshot to surface it predictably. The substituted action, Identify an eligible Eventhouse-to-OneLake or supported semantic connection path., is suited to a different situation: An analyst expects a model to include a KQL stream directly without supported integration. It does not satisfy the specified requirement 2.

Misses requirement 1: Centralized credential management simplifies restoring multiple consumers. The substituted action, Replace person-bound authentication with an approved stable service identity where supported., is suited to a different situation: A scheduled data refresh fails after the original employee owner leaves the company. It does not satisfy the specified requirement 1.

Misses requirement 2: Gateway administration is different from permission to read or modify source data. The substituted action, Configure the supported on-premises data gateway and its data source mapping., is suited to a different situation: An on-premises SQL connection works on the author's laptop but fails from Fabric cloud execution. It does not satisfy the specified requirement 2.

Misses requirement 1: Centralized credential management simplifies restoring multiple consumers. The substituted action, Inspect gateway and connection health before rewriting semantic calculations., is suited to a different situation: A source connection intermittently fails during a gateway upgrade and users blame model DAX. It does not satisfy the specified requirement 1.

Misses requirement 1: Stored procedures encapsulate supported parameterized T-SQL operations. The substituted action, Verify procedure execution permissions and access to referenced objects., is suited to a different situation: A warehouse procedure works as an owner but fails under a service principal. It does not satisfy the specified requirement 1.

Misses requirement 1: Stored procedures encapsulate supported parameterized T-SQL operations. The substituted action, Create a supported SQL view over the curated warehouse tables., is suited to a different situation: A reporting team repeats the same approved join in many warehouse queries and wants a reusable read interface. It does not satisfy the specified requirement 1.

Misses requirement 2: A logical view generally runs a query against underlying data rather than storing a scheduled copy. The substituted action, Implement a supported SQL function when the scalar logic is appropriate., is suited to a different situation: A finance calculation returns a scalar tax category based on customer region in many SQL queries. It does not satisfy the specified requirement 2.