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Data Integration and Flow Design Questions

Design how systems exchange synchronize and manage data across a technology stack. Candidates should be able to map data flows from collection through activation, choose between unidirectional and bidirectional integrations, and select real time versus batch synchronization strategies. Coverage includes master data management and source of truth strategies, conflict resolution and reconciliation, integration patterns and technologies such as application programming interfaces webhooks native connectors and extract transform load processes, schema and field mapping, deduplication approaches, idempotency and retry strategies, and how to handle error modes. Operational topics include monitoring and observability for integrations, audit trails and logging for traceability, scaling and latency trade offs, and approaches to reduce integration complexity across multiple systems. Interview focus is on integration patterns connector trade offs data consistency and lineage and operational practices for reliable cross system data flow.

MediumTechnical
26 practiced
An integration is failing intermittently only at high volume. The raw source data is correct, but latency spikes and backlogs appear during peak hours. What would you inspect first in the pipeline, and what changes would you consider to keep freshness acceptable without overloading either side?
HardTechnical
29 practiced
A finance team reports that the warehouse shows lower revenue than the billing system after a regional outage. Some records were replayed, some were skipped, and the logs are incomplete. How would you reconcile the two systems, decide which side to trust for each record, and prevent the same class of mismatch from happening again?
HardTechnical
28 practiced
You are asked to support bidirectional sync between a support tool and an internal account system, but both teams want to edit overlapping fields and both can go offline for hours. What design choices would you make to keep users from seeing stale or conflicting data, and where would you draw the line on allowing two-way writes?
MediumTechnical
25 practiced
You're responsible for a pipeline that moves customer events from an app through an integration service into a warehouse and a CRM. If a business user reports a missing record, how would you instrument the system so you can trace that record end to end without creating unmanageable logging volume or exposing sensitive data?
EasyTechnical
31 practiced
A product team wants updates from a transactional app to appear in a CRM within minutes, while analytics teams also need the same data for dashboards and experiments. Before any implementation starts, how would you map the end-to-end data flow from collection to downstream activation, and what decisions would you make about ownership, freshness, and failure handling so the design does not create duplicate paths later?

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