InterviewStack.io LogoInterviewStack.io

Edge Case Identification and Testing Questions

Focuses on systematically finding, reasoning about, and testing edge and corner cases to ensure the correctness and robustness of algorithms and code. Candidates should demonstrate how they clarify ambiguous requirements, enumerate problematic inputs such as empty or null values, single element and duplicate scenarios, negative and out of range values, off by one and boundary conditions, integer overflow and underflow, and very large inputs and scaling limits. Emphasize test driven thinking by mentally testing examples while coding, writing two to three concrete test cases before or after implementation, and creating unit and integration tests that exercise boundary conditions. Cover advanced test approaches when relevant such as property based testing and fuzz testing, techniques for reproducing and debugging edge case failures, and how optimizations or algorithmic changes preserve correctness. Interviewers look for a structured method to enumerate cases, prioritize based on likelihood and severity, and clearly communicate assumptions and test coverage.

HardSystem Design
0 practiced
Architect an automated ML testing framework for CI that covers unit tests, property-based tests, fuzz tests, integration tests, performance tests, fairness/regression checks, and canary deployments. Specify components (test runner, artifact storage, test data management), gating policies, parallelization strategies for expensive tests, and how to surface failures for fast triage.
MediumTechnical
0 practiced
Using property-based testing (e.g., Hypothesis), design three properties for a sequence padding function pad(sequences, pad_token). Properties should include: resulting length invariants, token preservation, and idempotence of padding. Describe how to generate variable-length input sequences and one concrete failing example Hypothesis might uncover.
MediumSystem Design
0 practiced
Describe an integration test suite for an end-to-end training pipeline that includes data ingestion, preprocessing, model training, checkpointing, evaluation, and artifact publishing. Include tests for partial failures (e.g., crashed worker), resuming from checkpoint, schema evolution, and backward compatibility with older checkpoints.
MediumTechnical
0 practiced
Design unit and integration tests that verify model serialization and deserialization preserves behavior across versions and hardware (e.g., float32 CPU vs float16 GPU). Include tolerance selection, canonical inputs (golden examples), and a strategy for handling acceptable numerical drift in CI.
MediumTechnical
0 practiced
Implement a numerically stable softmax function in Python that handles very large and very small logits, and write two unit tests: one for extremely large positive values and one for extremely negative values. Explain briefly why your implementation avoids overflow/underflow.

Unlock Full Question Bank

Get access to hundreds of Edge Case Identification and Testing interview questions and detailed answers.

Sign in to Continue

Join thousands of developers preparing for their dream job.