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Use Blob versioning where supported and protect earlier object versions. This implements Blob versioning on overwrite instead of the required Cosmos DB NoSQL indexing and queries function. Indexed document properties support queries while policy affects write/read cost.

Denormalize bounded related data for common access and reference independent unbounded entities. This implements Cosmos DB document embedded versus referenced data instead of the required Cosmos DB NoSQL indexing and queries function. Indexed document properties support queries while policy affects write/read cost.

Assume every unbounded cross-partition query costs the same as an ID point read. This is not a safe or appropriate Cosmos DB NoSQL indexing and queries implementation. Excessive indexing or scans may inflate RU consumption.

One hot key can throttle even when account capacity is increased. This failure is associated with Cosmos DB logical partition key; it is not the primary failure in the stated Azure Files SMB application migration scenario. Azure Files provides managed shared file access distinct from object Blob access.

Locking an incorrect period can create costly irreversible obligations. This failure is associated with Immutable blob retention and legal hold; it is not the primary failure in the stated Azure Files SMB application migration scenario. Azure Files provides managed shared file access distinct from object Blob access.

Selecting a relational JOIN-heavy schema without model review may inflate request cost. This failure is associated with Cosmos DB NoSQL JSON document container; it is not the primary failure in the stated Azure Files SMB application migration scenario. Azure Files provides managed shared file access distinct from object Blob access.

Inspect gateway connection refresh history and credential state. It tests Power BI scheduled refresh and gateway rather than the critical Slicer interactive filter behavior. Slicers provide user-driven data filtering rather than changing source rows.

Edit a visual title to Europe and assume it filters source data. This unsafe shortcut leaves the Slicer interactive filter problem unresolved. Incorrect interactions can leave some visuals unaffected.

Validate file paths lineage and SQL measure reconciliation. It tests Structured warehouse and unstructured lake coexistence rather than the critical Slicer interactive filter behavior. Slicers provide user-driven data filtering rather than changing source rows.

Treating every random file as an automatically registered table causes missing data. This failure is associated with Fabric Lakehouse managed tables and files; it is not the primary failure in the stated Fabric Dataflow Gen2 transformations scenario. Power Query-based dataflows provide reusable low-code preparation of data.

Assuming a file import automatically fixes wrong data types can misstate totals. This failure is associated with Power BI Desktop data import; it is not the primary failure in the stated Fabric Dataflow Gen2 transformations scenario. Power Query-based dataflows provide reusable low-code preparation of data.

Showing a stale number without refresh context can mislead. This failure is associated with KPI card single metric; it is not the primary failure in the stated Fabric Dataflow Gen2 transformations scenario. Power Query-based dataflows provide reusable low-code preparation of data.

Encryption alone does not prevent a public anonymous object endpoint. This failure is associated with Storage encryption and access controls; it is not the primary failure in the stated Cosmos DB NoSQL JSON document container scenario. The NoSQL API stores JSON items without requiring identical SQL rows.

Treating LRS as automatic cross-region replication can leave regional exposure. This failure is associated with Azure Storage LRS ZRS GRS distinctions; it is not the primary failure in the stated Cosmos DB NoSQL JSON document container scenario. The NoSQL API stores JSON items without requiring identical SQL rows.

Flattening graph traversal into independent key point reads may be awkward. This failure is associated with Cosmos DB API for Apache Gremlin graph; it is not the primary failure in the stated Cosmos DB NoSQL JSON document container scenario. The NoSQL API stores JSON items without requiring identical SQL rows.

Store large documents appropriately and index related business metadata in a database. This implements File store versus database selection instead of the required Cosmos DB for distributed JSON apps function. Cosmos DB supports distributed data models but partition and consistency choices matter.

Assign database administration responsibility for backup retention restore testing and database health. This implements DBA backup and recovery responsibility instead of the required Cosmos DB for distributed JSON apps function. Cosmos DB supports distributed data models but partition and consistency choices matter.

Assume selecting Cosmos DB makes every poorly partitioned query free. This is not a safe or appropriate Cosmos DB for distributed JSON apps implementation. Choosing one hot partition key can negate the expected scale advantage.

Confirm account namespace setting and test folder access. It tests ADLS Gen2 hierarchical namespace rather than the critical Cosmos DB API for Table compatibility behavior. The Table API can support Table-style entity access within Cosmos DB.

Test nested JSON access versus relational join constraints. It tests Cosmos DB API for NoSQL versus SQL text rather than the critical Cosmos DB API for Table compatibility behavior. The Table API can support Table-style entity access within Cosmos DB.

Add SQL JOIN clauses to the Table REST API and assume engine upgrades make it work. This unsafe shortcut leaves the Cosmos DB API for Table compatibility problem unresolved. Assuming Table API is automatically a full SQL relational engine is incorrect.

Preserve object hierarchy and array semantics while parsing nested JSON properties. This implements JSON arrays and nested objects instead of the required Batch scheduled processing function. Batch work processes bounded collections at selected times.

Use an optimization or decision model to compare feasible actions. This implements Prescriptive decision optimization instead of the required Batch scheduled processing function. Batch work processes bounded collections at selected times.

Treat nightly processing as zero-latency streaming analytics. This is not a safe or appropriate Batch scheduled processing implementation. Lack of idempotency can duplicate rows on rerun.

Renaming one department yields consistent names for linked employees. This supports Third normal form transitive dependency, not confirmation of Left outer join preserving parents. The relevant evidence is that customers without orders remain visible with null child values.

Authorized identities connect within assigned privileges and revoked users fail. This supports Azure SQL authentication and Entra identity, not confirmation of Left outer join preserving parents. The relevant evidence is that customers without orders remain visible with null child values.

The tenant accesses T-SQL using its managed service endpoint. This supports Azure SQL Database single database PaaS, not confirmation of Left outer join preserving parents. The relevant evidence is that customers without orders remain visible with null child values.

Assume a page blob is an ordinary sequential append log. It does not implement Page blob random access. Using append-only semantics for virtual disk page updates is inappropriate.

Use appropriate immutable retention or legal-hold policies where supported. That action primarily handles Immutable blob retention and legal hold; the given requirement is Page blob random access. Page blobs are suited to random I/O scenarios and VHD backing.

Evaluate Azure Cosmos DB for MongoDB compatible offerings and feature support. That action primarily handles Cosmos DB API for MongoDB; the given requirement is Page blob random access. Page blobs are suited to random I/O scenarios and VHD backing.

Define a primary key that uniquely identifies each row. That action primarily handles Primary key row uniqueness; the given requirement is NULL and three-valued logic. SQL NULL represents absent or unknown values and ordinary equality does not match it.

Store string 'NULL' everywhere and claim it is identical to SQL NULL. It does not implement NULL and three-valued logic. Comparing = NULL can silently yield no rows.

Configure supported Microsoft Entra authentication and database roles. That action primarily handles Azure SQL authentication and Entra identity; the given requirement is NULL and three-valued logic. SQL NULL represents absent or unknown values and ordinary equality does not match it.