6418. Data Quality & Lineage: distribution-drift detection — Automate the workflow with idempotent retries and observability. — HRMS — PHP PDO

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

Scenario: A HRMS application must handle distribution-drift detection. Automate the workflow with idempotent retries and observability. 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

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

Disable database protections and repair inconsistent rows manually after distribution-drift detection runs.

Additional Explanation

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

Verified

Option 2: Run distribution-drift detection without defining transaction boundaries, retry

Run distribution-drift detection 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 distribution-d

Use a parameterized, transaction-aware MySQL 8 implementation for distribution-drift detection, 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 distribution-drift detection.

Additional Explanation

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