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Misses requirement 1: Reusable functions can package common deterministic expressions for SQL consumers. 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: Stored procedures encapsulate supported parameterized T-SQL operations. The substituted action, Use a physical table or approved materialization workflow when persisted snapshots are required., is suited to a different situation: A developer writes a view and assumes its definition guarantees a materialized daily snapshot. It does not satisfy the specified requirement 2.

Misses requirement 1: Reusable functions can package common deterministic expressions for SQL consumers. 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 2: Joining on a nonunique descriptive column can create many-to-many row multiplication. The substituted action, Use an INNER JOIN on the validated customer key., is suited to a different situation: An analyst wants only orders with a corresponding eligible customer row, excluding unmatched orders. It does not satisfy the specified requirement 2.

Misses requirement 1: A left join preserves unmatched rows from the left side. The substituted action, Normalize join-key types before joining and check for unexpected cast failures., is suited to a different situation: A transformation joins two large tables and the key columns have incompatible types. It does not satisfy the specified requirement 1.

Misses requirement 1: A left join preserves unmatched rows from the left side. The substituted action, Use an equijoin on the validated dimension surrogate key., is suited to a different situation: A fact table must include descriptive attributes from a dimension using a matching surrogate key. It does not satisfy the specified requirement 1.

Misses requirement 1: Enrichment can create business attributes from validated source values. The substituted action, Add an explicit fiscal period column based on the approved business calendar., is suited to a different situation: A date table needs a fiscal period label derived from a configured fiscal-year start. It does not satisfy the specified requirement 1.

Misses requirement 2: Reference tables centralize frequently changed business mappings. The substituted action, Join to the approved rate by currency and effective date before calculating converted amounts., is suited to a different situation: A business wants normalized sales currency in one measure but the exchange-rate timestamp varies by transaction. It does not satisfy the specified requirement 2.

Misses requirement 1: Enrichment can create business attributes from validated source values. The substituted action, Standardize statuses using an explicit mapping and retain unmapped values for review., is suited to a different situation: A dataset has free-text status labels whose spelling varies across sources. It does not satisfy the specified requirement 1.

Misses requirement 2: Historical facts must point to the appropriate dimensional state at event time. The substituted action, Declare and enforce a single consistent fact grain before modeling measures., is suited to a different situation: A report needs order header totals and individual line-level revenue in one fact with ambiguous grain. It does not satisfy the specified requirement 2.

Misses requirement 1: Separating dimensions can reduce repeated attributes and improve model clarity. The substituted action, Enforce unique dimension keys and investigate conflicting dimension records., is suited to a different situation: A data engineer joins a dimension table containing duplicate surrogate keys and report totals multiply. It does not satisfy the specified requirement 1.

Misses requirement 1: Separating dimensions can reduce repeated attributes and improve model clarity. The substituted action, Model sales as a fact table with product, date and region dimensions., is suited to a different situation: Analysts filter sales by product, date and region and need a scalable dimensional design. It does not satisfy the specified requirement 1.

Misses requirement 1: Type 1 replaces an attribute where old values are not analytically meaningful. The substituted action, Implement a Type 2 history design with effective dates and surrogate keys., is suited to a different situation: A customer's service tier changes and auditors must analyze sales using the tier valid at each transaction date. It does not satisfy the specified requirement 1.

Misses requirement 2: Temporal lookup protects historical fact attribution. The substituted action, Close the previous effective interval before inserting the new active version., is suited to a different situation: A Type 2 dimension refresh creates several active rows for the same business key. It does not satisfy the specified requirement 2.

Misses requirement 1: Type 1 replaces an attribute where old values are not analytically meaningful. The substituted action, Separate Type 2 version matching from ordinary current-row business-key matching., is suited to a different situation: A dimension upsert uses only business key and overwrites every prior version on each update. It does not satisfy the specified requirement 1.

Misses requirement 2: Cached descriptive columns need change-propagation rules. The substituted action, Precompute a governed serving representation with necessary attributes when freshness allows., is suited to a different situation: A low-latency real-time report cannot afford repeated joins against a slow remote source. It does not satisfy the specified requirement 2.

Misses requirement 1: Denormalization trades simpler reads for higher storage and maintenance cost. The substituted action, Review field-level authorization for denormalized copies before publishing., is suited to a different situation: A team denormalizes a customer status but forgets that the status is confidential for one audience. It does not satisfy the specified requirement 1.

Misses requirement 1: Denormalization trades simpler reads for higher storage and maintenance cost. The substituted action, Consider selectively denormalizing stable lookup attributes into the serving table., is suited to a different situation: A dashboard repeatedly joins a tiny reference table to a huge event table and the join overhead dominates. It does not satisfy the specified requirement 1.

Misses requirement 1: Averaging averages without weighting yields incorrect aggregate statistics. The substituted action, Build a daily store-level aggregate with documented grain and refresh semantics., is suited to a different situation: A retailer needs daily revenue by store rather than billions of raw receipt lines for a dashboard. It does not satisfy the specified requirement 1.

Misses requirement 2: Aggregating incorrect duplicated rows does not recover the true financial total. The substituted action, Model semi-additive balance measures using the correct snapshot-date rule., is suited to a different situation: A KPI definition sums cumulative daily balances across dates and overstates month-end cash. It does not satisfy the specified requirement 2.

Misses requirement 1: Averaging averages without weighting yields incorrect aggregate statistics. The substituted action, Define the count measure at the actual fact grain or use line-level data., is suited to a different situation: A fact table is at one-row-per-order while a measure is labeled as line count. It does not satisfy the specified requirement 1.

Misses requirement 2: Version-aware deduplication distinguishes corrections from accidental duplicates. The substituted action, Inspect join-key uniqueness and unmatched or multiplied rows before downstream aggregation., is suited to a different situation: A join expands ten thousand transactions to a hundred thousand rows unexpectedly. It does not satisfy the specified requirement 2.

Misses requirement 1: Matching a nonunique attribute can incorrectly delete separate customers. The substituted action, Add a deterministic order using a trustworthy event or source sequence column., is suited to a different situation: A deduplication step uses arbitrary first-row selection and results change between runs. It does not satisfy the specified requirement 1.

Misses requirement 1: Matching a nonunique attribute can incorrectly delete separate customers. The substituted action, Deduplicate or MERGE on stable order identifiers and source versions., is suited to a different situation: A source replays an order extract and downstream revenue doubles. It does not satisfy the specified requirement 1.

Misses requirement 1: Inventing dates converts missing data into incorrect facts. The substituted action, Use a source-specific COALESCE rule after validating that NULL means no discount., is suited to a different situation: Sales rows contain NULL discount but policy defines absent discount as zero only for a specific feed. It does not satisfy the specified requirement 1.

Misses requirement 2: Optional relationships should not discard unrelated valid facts. The substituted action, Include an explicit `IS NULL` branch when unknown statuses should remain., is suited to a different situation: A SQL predicate `Status <> 'Closed'` omits rows where Status is NULL. It does not satisfy the specified requirement 2.

Misses requirement 1: Inventing dates converts missing data into incorrect facts. The substituted action, Apply COALESCE at the presentation measure when zero is semantically correct., is suited to a different situation: A DAX measure produces blank for no transactions, but the report must show zero only when business rules permit. It does not satisfy the specified requirement 1.

Misses requirement 2: Decimal precision and scale matter for currency calculations. The substituted action, Preserve identifiers as strings when leading zeros are meaningful., is suited to a different situation: A customer identifier has leading zeros but an engineer converts it to INTEGER. It does not satisfy the specified requirement 2.

Misses requirement 1: Typed timestamps support correct ordering and time arithmetic. The substituted action, Choose a sufficiently large numeric type and validate overflow handling., is suited to a different situation: An integer count exceeds its current type's maximum during a seasonal load. It does not satisfy the specified requirement 1.

Misses requirement 1: Typed timestamps support correct ordering and time arithmetic. The substituted action, Parse the numeric format using explicit locale or conversion rules and flag rejects., is suited to a different situation: A source sends price as text with comma separators and SQL casts produce errors. It does not satisfy the specified requirement 1.

Misses requirement 1: Column minimization reduces data movement but does not replace authorization. The substituted action, Push an appropriate date filter before expensive joins and aggregation., is suited to a different situation: An analytics query scans all transaction years although only last week's records are required. It does not satisfy the specified requirement 1.

Misses requirement 2: Date filters need consistent event-time interpretation. The substituted action, Normalize approved status case or use suitable collation semantics before filtering., is suited to a different situation: A dataflow uses a case-sensitive comparison but source statuses differ only by capitalization. It does not satisfy the specified requirement 2.

Misses requirement 1: Column minimization reduces data movement but does not replace authorization. The substituted action, Parenthesize the intended logical predicates and test boundary rows., is suited to a different situation: A SQL WHERE condition combines `AND` and `OR` and incorrectly includes unapproved customer types. It does not satisfy the specified requirement 1.