6214. Warehouse & ETL: dimension loading — Diagnose a production symptom using database evidence. — inventory — C# ASP.NET + ADO.NET

DBMS Published 30 Sept 2026 Updated 30 Sept 2026 0 Views Verified

Scenario: A inventory application must handle dimension loading. Diagnose a production symptom using database evidence. Explain the invariant, SQL strategy, transaction/locking behavior, failure handling, observability and test plan. Use MySQL 8-oriented syntax where applicable.

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Answer & Explanation

4 Answers

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Option 1: Disable database protections and repair inconsistent rows manually after dimensi

Disable database protections and repair inconsistent rows manually after dimension loading runs.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.

Verified

Option 2: Run dimension loading without defining transaction boundaries, retry behavior, o

Run dimension loading without defining transaction boundaries, retry behavior, or production validation.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.

Verified Correct Answer

Option 3: Use a parameterized, transaction-aware MySQL 8 implementation for dimension load

Use a parameterized, transaction-aware MySQL 8 implementation for dimension loading, validate the invariant, and explicitly test concurrency, retries and recovery.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.

Verified

Option 4: Use unparameterized dynamic SQL and rely only on application-side validation for

Use unparameterized dynamic SQL and rely only on application-side validation for dimension loading.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.