Test Automation Levels Questions

Covers the testing pyramid and the roles of different automated test types: unit tests for fast isolated verification of individual components, integration tests for validating interactions between multiple components, system tests for end to end verification of a complete deployed system, and acceptance tests for confirming that the system meets user requirements. Includes trade offs in distribution and cost of tests, strategies for test data management and environment provisioning, when to use mocks or stubs, approaches to reduce flakiness, metrics for test coverage and effectiveness, maintaining fast feedback loops in continuous integration pipelines, and selecting tools and frameworks appropriate to each level.

HardTechnical

19 practiced

You must persuade engineering leadership to invest in a new test automation platform. Prepare the key components of your pitch: business outcomes, cost-benefit analysis, migration plan, required staffing and training, risk assessment, and KPIs to measure ROI. Present a concise structure suitable for a 10-minute exec level meeting.

HardTechnical

26 practiced

Design an observability plan for the test automation system. Define which metrics to collect (e.g., pass rate, flakiness rate, queue time, MTTD), what logs and artifacts to store, dashboard and alerting thresholds, and how engineering and QA teams should act on signals.

EasyTechnical

21 practiced

Define a 'flaky test'. List common causes of flakiness (environment, timing, test order, network, shared state) and describe a short triage checklist you would follow when a test becomes flaky in CI.

HardTechnical

26 practiced

Implement in Python a function select_tests(changed_files, test_metadata, k) that returns the top-k tests to run on a commit. test_metadata is a list of dicts with keys: 'test_name', 'affected_files' (list), 'failure_rate' (0-1), 'runtime_seconds'. Design a scoring approach that prioritizes tests covering changed files, higher historical failure rate, and shorter runtime to maximize early feedback. Provide code and explain complexity.

MediumSystem Design

19 practiced

Design an architecture for ephemeral test environments provisioned per pull request using Kubernetes. Include how you would create namespaces, deploy services, seed data, run tests, collect logs/artifacts, enforce resource quotas and cost controls, and tear down environments safely.

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