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Explain how Task.WhenAll behaves when one or more tasks fail and how to inspect failures safely.
Covers using managed identity and Microsoft Entra authentication for Azure SQL access from a .NET API.
Covers allocation rate, collection frequency, latency symptoms, and safe production steps for GC-heavy services.
Explains health endpoints, readiness versus liveness, warm-up, dependency checks, and safe App Service health behavior.
Covers queue-backed work, idempotency, retries, visibility timeout, poison messages, progress tracking, and choosing Storage Queues or Service Bus.
Covers deployment logs, startup failures, runtime stack, app settings, missing files, Key Vault references, and post-deployment diagnosis.
Gives a practical incident flow for memory growth using metrics, traffic correlation, heap evidence, and safe mitigation.
Explains same-artifact promotion, environment-specific configuration, approvals, smoke testing, drift detection, and production traceability.
Frames allocation reduction as measurement-driven API work rather than premature micro-optimization.
Explains a practical Git workflow for a .NET team using branches, pull requests, code review, and protected main branches.
Describes lazy iterator execution, state-machine behavior, early termination, resource disposal, and repeat-enumeration consequences.
Explains how IHttpClientFactory separates short-lived clients from pooled handlers and how concurrency, DNS, resilience, and DI lifetimes still require judgment.
Chooses immutable values and controlled mutable entities based on identity, concurrency, invariants, allocation cost, and update semantics.
Validates size and signature, writes under a generated storage key, and keeps untrusted files outside the public web root.
Validates a bounded command set completely before applying all updates in one SaveChanges transaction.
Builds a bounded readiness check for one required dependency while keeping liveness independent and responses non-sensitive.
Stores an idempotency key, request hash, and response in the same transaction as the created resource.
Implements a small in-memory fixed-window rate limiter with per-key counters.
Implements a small LRU cache using a dictionary plus linked list for O(1) get and put.
Implements descending keyset pagination in LINQ using a compound timestamp-and-id cursor.
Explains stable EF Core pagination using cursor predicates, deterministic ordering, and index-aligned queries.
Processes a large import in chunks with fresh DbContexts, idempotent keys, cancellation, and bounded tracker growth.
Explains `Include` versus `Select` in EF Core with practical .NET data-access examples and production trade-offs.
Verifies the exact request bytes, rejects stale signatures, deduplicates event ids, and queues processing durably.