Top 50 data persistence Interview Questions
The most frequently asked data persistence questions across all roles and companies, ranked by real interview frequency. Updated daily.
Recursively flatten nested JSON logs and group normalized records by a partition field for Delta ingestion.
DatabricksSerialize and reconstruct JSON-compatible Python objects using pickle serialization and deserialization.
InfosysCreate a ZIP backup from directory entries and return the requested archive path using Python's standard library.
VTGImplement stateful watch-list handlers with authorization, validation, persistence, and correct HTTP-style responses.
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Tests ownership, prioritization, and influence in an ambiguous mobile offline-sync problem with competing technical and product trade-offs.
SAP
Airwallex Pty
HopperTests ownership of mobile offline sync problems, including prioritization, backend coordination, and user-impact tradeoffs under unreliable network conditions.
Datadog
Lumenalta
Siemens EnergyEvaluates your ability to design client-side flows with data fetching and persistence.
DoorDashAssesses your approach to resilience, backup, and fast recovery.
Use ranking to return the nth distinct salary from an employee table.
AkamaiUse a CTE, joins, and distinct aggregates to calculate Meta Logistics bookstore payment metrics.
Meta LogisticsUse recursive CTEs and anti-join logic to find active VLink employees without a current department.
VLink