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Enterprise Continuous Integration and Delivery Architecture Questions

Design robust continuous integration and continuous delivery architectures at enterprise scale. This covers source control strategies such as trunk based development and feature branching, build parallelization, distributed caching and artifact caching, artifact retention and provenance, and orchestration of pipelines across many teams or large repositories. Candidates should address scaling of runners and agents, queuing and throttling, resource allocation for parallel and distributed execution, pipeline optimization techniques, monitoring of pipeline health metrics such as build times and failure rates, and operational practices to maintain efficiency and reliability for large numbers of concurrent builds. Security and compliance at scale include secrets and credentials management, signing and provenance of artifacts, approval workflows and audit trails, as well as cross team workflows and governance and trade offs between speed safety and complexity.

HardTechnical
81 practiced
Write a concise Go CLI program that accepts three inputs: (1) a JSON array of build inputs (file paths + SHA256), (2) a JSON array of outputs (file paths + SHA256), and (3) a PEM-format private key file path. The program should produce a JSON provenance attestation containing inputs, outputs, timestamp, builder ID (from BUILDER_ID env var), and a base64 signature field signing the attestation. Use only Go standard library packages. Include comments to explain deterministic JSON serialization choices.
EasyBehavioral
63 practiced
Tell me about a time you diagnosed and improved a slow or unreliable CI/CD pipeline. Use STAR format: describe the situation, your role, actions taken (tools, instrumentation, fixes), measurable results (e.g., build time reduced by X%), and what you learned. If you lack direct experience, describe a hypothetical approach you would take.
MediumTechnical
87 practiced
You have a mixed test suite: many fast CPU-bound unit tests and a smaller set of slow integration tests. Currently tests run sequentially causing long pipeline times. Propose a resource allocation and parallelization strategy (grouping, worker sizing, sharding, caching) to reduce pipeline time while controlling cloud cost and ensuring reliability.
EasySystem Design
73 practiced
Design a simple CI pipeline for a single microservice using GitHub and Kubernetes: include build, unit tests, integration tests, container image build, vulnerability scan, push to registry, and deploy to staging. Indicate which steps can be parallelized, where to store artifacts and logs, and how to capture provenance.
HardTechnical
73 practiced
Using Python, implement an algorithm/function that, given time-series of build arrival rates (per minute), average build duration, and agent boot time, predicts the number of agents required at each minute to keep the 95th percentile queue wait time under a target T minutes. You may use approximations (M/M/c) — state them — and aim for efficiency over perfect accuracy.

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