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Misses requirement 2: Calculation group authoring depends on model capabilities and supported tools. The substituted action, Use SELECTEDMEASURE in the calculation item expression., is suited to a different situation: A calculation item should operate on the currently selected base measure rather than a hard-coded revenue measure. It does not satisfy the specified requirement 2.

Misses requirement 1: Reusable calculations must preserve the meaning and display of their results. The substituted action, Review calculation group precedence and test combined selections., is suited to a different situation: A model has multiple calculation groups whose ordering creates unexpected results. It does not satisfy the specified requirement 1.

Misses requirement 1: Reusable calculations must preserve the meaning and display of their results. The substituted action, Create a supported calculation group with reusable time-intelligence calculation items., is suited to a different situation: A large model repeats year-to-date, prior-year and growth calculations for dozens of base measures. It does not satisfy the specified requirement 1.

Misses requirement 1: Calculation groups may require format propagation tailored to the item. The substituted action, Define a supported dynamic format-string expression for the measure., is suited to a different situation: The same revenue measure must show euros for one currency selection and dollars for another. It does not satisfy the specified requirement 1.

Misses requirement 2: Display formatting can vary independently of the stored number. The substituted action, Replace text conversion with dynamic format strings when suitable., is suited to a different situation: A measure uses DAX FORMAT to display currency and downstream charts stop treating its result as numeric. It does not satisfy the specified requirement 2.

Misses requirement 1: Calculation groups may require format propagation tailored to the item. The substituted action, Apply the correct percentage measure format rather than multiplying stored values arbitrarily., is suited to a different situation: A KPI should display a percentage with one decimal without changing its underlying ratio. It does not satisfy the specified requirement 1.

Misses requirement 2: Field-parameter changes can affect persisted report state references. The substituted action, Use a field parameter containing the intended measures., is suited to a different situation: A user needs to toggle between revenue, profit and quantity in one visual. It does not satisfy the specified requirement 2.

Misses requirement 1: Visual field flexibility is not an ETL operation. The substituted action, Restrict the field parameter to fields authorized for the target audience., is suited to a different situation: A field parameter references an unapproved sensitive dimension and users can expose it in a visual. It does not satisfy the specified requirement 1.

Misses requirement 1: Visual field flexibility is not an ETL operation. The substituted action, Create a supported field parameter that includes the approved dimension fields., is suited to a different situation: A report consumer wants to switch a chart axis between product, region and channel. It does not satisfy the specified requirement 1.

Misses requirement 1: Direct Lake on SQL analytics endpoint mode has restrictions not shared by every composite variant. The substituted action, Build an eligible composite model with supported Import and DirectQuery storage modes., is suited to a different situation: A semantic model must combine a small imported budget table with a live sales source. It does not satisfy the specified requirement 1.

Misses requirement 2: Composite model query plans and relationship assumptions can affect correctness and performance. The substituted action, Evaluate large semantic model storage format and capacity prerequisites., is suited to a different situation: A model grows beyond standard storage assumptions and needs enterprise-scale capacity features. It does not satisfy the specified requirement 2.

Misses requirement 1: Direct Lake on SQL analytics endpoint mode has restrictions not shared by every composite variant. The substituted action, Profile measures and relationships independently of model storage settings., is suited to a different situation: A team enables large model format and assumes it automatically fixes inefficient DAX. It does not satisfy the specified requirement 1.

Misses requirement 2: Reducing redundant query fan-out can improve end-user responsiveness. The substituted action, Reduce unnecessary visual detail and inspect the query produced under that filter., is suited to a different situation: A dashboard becomes slow only when a specific slicer produces many high-cardinality groups. It does not satisfy the specified requirement 2.

Misses requirement 1: Slow pages can be caused by client rendering rather than semantic query execution alone. The substituted action, Compare capacity utilization and simultaneous model-query load during the slowdown., is suited to a different situation: A report loads quickly in Desktop but is slow under production capacity concurrency. It does not satisfy the specified requirement 1.

Misses requirement 1: Slow pages can be caused by client rendering rather than semantic query execution alone. The substituted action, Use Power BI Performance Analyzer to inspect the slow visual's query timing., is suited to a different situation: A report contains one visual that loads much more slowly than adjacent visuals. It does not satisfy the specified requirement 1.

Misses requirement 1: Text conversion compromises numeric sorting and may increase model processing overhead. The substituted action, Rewrite CALCULATE filters to use efficient column predicates where semantics permit., is suited to a different situation: A DAX measure iterates a billion-row fact using FILTER even though a simple column predicate would suffice. It does not satisfy the specified requirement 1.

Misses requirement 2: DAX performance tuning must preserve filter semantics rather than only minimize execution time. The substituted action, Replace the design with ratio of appropriately aggregated numerator and denominator., is suited to a different situation: A margin KPI calculates row-wise ratio then sums it, causing numerical inconsistency and high query work. It does not satisfy the specified requirement 2.

Misses requirement 1: Text conversion compromises numeric sorting and may increase model processing overhead. The substituted action, Cache an intermediate expression with VAR and inspect the resulting execution plan., is suited to a different situation: A DAX formula recomputes the same large table expression several times. It does not satisfy the specified requirement 1.

Misses requirement 2: Mode diagnostics identify the actual query path instead of relying on model labels. The substituted action, Evaluate materializing the view as a Delta table or accepting DirectQuery fallback., is suited to a different situation: A semantic model references a nonmaterialized SQL view and reports are slower than Delta-table queries. It does not satisfy the specified requirement 2.

Misses requirement 1: Disabling the SQL mode's fallback converts a slow fallback path into query errors. The substituted action, Review capacity guardrails and optimize Delta files or scale capacity as warranted., is suited to a different situation: A Fabric capacity has Direct Lake table sizes above guardrail thresholds and fallback occurs. It does not satisfy the specified requirement 1.

Misses requirement 1: Disabling the SQL mode's fallback converts a slow fallback path into query errors. The substituted action, Inspect SQL endpoint RLS and DirectQuery fallback behavior for the affected table., is suited to a different situation: A Direct Lake on SQL model unexpectedly switches slow report queries to SQL for a secured source table. It does not satisfy the specified requirement 1.

Misses requirement 1: OneLake-based Direct Lake can use eligible Delta tables from multiple Fabric sources. The substituted action, Select Direct Lake on OneLake where the source and capacity meet requirements., is suited to a different situation: A new semantic model needs direct Delta-column access with OneLake security but no SQL endpoint dependency. It does not satisfy the specified requirement 1.

Misses requirement 2: OneLake variant authorization does not consult SQL-endpoint row-level rules. The substituted action, Evaluate Direct Lake on SQL analytics endpoints with documented fallback behavior., is suited to a different situation: A model requires SQL analytics endpoint security semantics and may accept slower queries when restricted. It does not satisfy the specified requirement 2.

Misses requirement 1: OneLake-based Direct Lake can use eligible Delta tables from multiple Fabric sources. The substituted action, Explain that Direct Lake on OneLake does not support DirectQuery fallback., is suited to a different situation: A team expects Direct Lake on OneLake to fall back to DirectQuery when its guardrails are exceeded. It does not satisfy the specified requirement 1.

Misses requirement 2: Security and table metadata changes can require recalculation of the model's effective access state. The substituted action, Explain that Direct Lake refresh typically updates framing metadata rather than importing all source rows., is suited to a different situation: A team confuses Direct Lake semantic refresh with a full copy of all tables into Import storage. It does not satisfy the specified requirement 2.

Misses requirement 1: New Direct Lake tables need a valid framing state before queries. The substituted action, Configure approved automatic updates or a refresh trigger aligned with the freshness SLA., is suited to a different situation: A Direct Lake model has automatic updates disabled but business users expect newly committed Delta data immediately. It does not satisfy the specified requirement 1.

Misses requirement 1: New Direct Lake tables need a valid framing state before queries. The substituted action, Check model framing or automatic updates and trigger a supported refresh when needed., is suited to a different situation: A Direct Lake report still shows prior values after upstream Delta rows changed. It does not satisfy the specified requirement 1.

Misses requirement 1: An incremental window only captures changes in the ranges it processes. The substituted action, Configure supported incremental refresh with RangeStart and RangeEnd partitions., is suited to a different situation: A ten-year Import semantic model takes hours to reload even though only the most recent month changes. It does not satisfy the specified requirement 1.

Misses requirement 2: Model policy configuration alone does not guarantee routine refresh operations. The substituted action, Use a consistent inclusive lower and exclusive upper bound on partition filters., is suited to a different situation: An incremental refresh policy produces duplicate data because partitions overlap at the time boundary. It does not satisfy the specified requirement 2.

Misses requirement 1: An incremental window only captures changes in the ranges it processes. The substituted action, Inspect query folding and push eligible date filters to the source., is suited to a different situation: A model defines incremental refresh but the source query does not fold the date predicate. It does not satisfy the specified requirement 1.

Misses requirement 2: Data model memory pressure cannot be fixed by a cosmetic change to report layout. The substituted action, Move stable descriptions to an appropriate dimension when relationships support it., is suited to a different situation: A fact table includes a verbose description repeated across millions of rows. It does not satisfy the specified requirement 2.

Misses requirement 1: Relationship design affects both query work and analytical correctness. The substituted action, Consider source-side materialization or reusable measures based on intended semantics., is suited to a different situation: A model creates hundreds of calculated columns for values that can be computed in source SQL. It does not satisfy the specified requirement 1.

Misses requirement 1: Relationship design affects both query work and analytical correctness. The substituted action, Remove unneeded high-cardinality columns from the model., is suited to a different situation: A semantic model stores transaction GUIDs in multiple high-cardinality string columns that reports never use. It does not satisfy the specified requirement 1.