Demonstrate that you have researched the specific company and understand its security posture, public initiatives, and how security supports the company business model. Explain why the company and the role appeal to you from a security perspective, referencing recent security programs, known challenges, or strategic priorities when possible. Show how your skills, experience, and security philosophy align with the company approaches to risk management, incident response, cloud and application security, and secure development practices. Convey genuine motivation to contribute to and grow within the organization while respecting its values and security tradeoffs.
EasyTechnical
0 practiced
Which telemetry and security signals would you instrument for production ML models to detect abuse and anomalies? Include specific metrics (e.g., per-user request rate, unique input fingerprint rate, feature-distribution histograms, confidence distribution, model-version), where you'd store them, and how you'd enforce retention and access controls for the logs.
HardTechnical
0 practiced
For a high-stakes computer-vision classifier, design a defense-in-depth strategy against adversarial attacks. Cover secure data collection and labeling, robust training approaches (adversarial training, data augmentation), model architecture choices, input preprocessing/sanitization, detection of adversarial inputs at runtime, and incident response. Discuss expected residual risk, cost, and metrics for evaluating robustness.
EasyTechnical
0 practiced
The security team requires audit logs for model forensics. Specify the ML-specific log events and fields you would capture (for example: timestamp, model-id, model-version, input-hash, user-id, prediction, confidence, inference-latency, request-source) and explain how you would avoid logging PII while preserving forensic value.
HardSystem Design
0 practiced
Design a secure multi-tenant inference platform that serves multiple customers on shared hardware while guaranteeing tenant isolation, preventing cross-tenant data leakage, and maintaining performance SLAs. Discuss choices between virtualization, containerization, sandboxing, memory and I/O isolation, cryptographic protections, and mitigations for side-channel attacks. Also describe operational controls and verification techniques.
MediumSystem Design
0 practiced
Design a secure production model-serving architecture for an online recommendation model that must handle 100k requests per minute with p95 latency under 200ms. Requirements: zero-trust networking, mutual TLS, per-model access controls, model signing and integrity checks, secure secrets management, audit logging for every inference, and integration with CI/CD and monitoring. Describe components, data flow, scaling approach, and specific cloud services or OSS tools you'd use.
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