4264. Binlog & CDC: schema-history recovery — Diagnose a production symptom using database evidence. — School ERP — Python + FastAPI + SQLAlchemy

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

Scenario: A School ERP application must handle schema-history recovery. 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

Verified Correct Answer

Option 1: Use a parameterized, transaction-aware MySQL 8 implementation for schema-history

Use a parameterized, transaction-aware MySQL 8 implementation for schema-history recovery, 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 2: Use unparameterized dynamic SQL and rely only on application-side validation for

Use unparameterized dynamic SQL and rely only on application-side validation for schema-history recovery.

Additional Explanation

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

Verified

Option 3: Disable database protections and repair inconsistent rows manually after schema-

Disable database protections and repair inconsistent rows manually after schema-history recovery runs.

Additional Explanation

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

Verified

Option 4: Run schema-history recovery without defining transaction boundaries, retry behav

Run schema-history recovery without defining transaction boundaries, retry behavior, or production validation.

Additional Explanation

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