Loading
Pick a focused question that fits your time, stack, and interview goal.
439 results across 1 active filter
Page 8 of 19
Investigate a production API slowdown caused by blocking async calls, thread-pool pressure, and dependency waits.
Explains a telemetry-driven path from slow endpoint symptoms to database, cache, dependency, CPU, or payload root cause.
Investigate a slow API by checking database queries, blocking async, dependency latency, serialization, logging, and runtime pressure.
Pairs a bounded isolated reproduction with telemetry and a disposal fix for leaked database connections.
Uses instance state, termination reasons, events, logs, configuration, probes, and resource evidence to distinguish common container startup failures.
Builds a story about resolving technical disagreement in review without ego or passive approval.
Decide whether Azure SQL errors are transient platform faults or a real application/query regression.
Builds deterministic images efficiently by controlling context, restore layers, dependency inputs, and cache invalidation.
Uses Compose for reproducible local dependencies while preserving fast inner loops, realistic readiness, and clear differences from production orchestration.
Diagnoses thread-unsafe scoped dependencies inside parallel execution and redesigns the data boundary without exhausting shared resources.
Investigate and fix an API where client retries create duplicate orders, payments, or records.
Compare minimal API endpoint filters and MVC filters by context, scope, and use case.
Turns a modular-monolith choice into enforceable code and data ownership rather than relying on folders and team discipline alone.
Maps an HTTP ETag precondition to EF Core rowversion and returns 412 when the representation is stale.
Explains promoting artifacts through dev, staging, and production while managing configuration differences safely.
Implements representation-aware ETags and conditional GETs correctly, including validators, 304 metadata, authorization, cache variation, generation cost, and tests.
Improves architecture through protected behavior, incremental boundaries, and measurable delivery instead of a risky all-at-once rewrite.
Treats JSON serialization settings and DTO shape as a public contract, including naming, enums, nulls, converters, compatibility, and tests.
Performs a set-based bulk update without loading session entities into the change tracker.
Explain async/await as C# syntax over Task-based asynchronous work, with attention to non-blocking I/O and request throughput.
Explains when stale cache reads are acceptable, when they are dangerous, and how to make freshness visible.
Explains how an HTTP request flows through ASP.NET Core middleware, routing, endpoint execution, and response generation.
Explains what CORS controls, what it does not protect, and why APIs still need authentication and authorization.
Manages feature flags as temporary production controls with ownership, safe defaults, targeted rollout, telemetry, audit, failure behavior, and planned removal.