Intermediate~3h
Evaluation Strategy & Quality Metrics in GenAI EngineeringInterview Readiness Check
Building an evaluation system that doesn't lie: golden dataset construction, LLM-as-judge patterns and biases, RAGAS metrics (faithfulness, answer relevance, context precision/recall), human-eval calibration, regression detection in CI/CD, A/B testing for LLM apps, and the evaluation questions interviewers ask..
evaluationLLM-as-judgeRAGASgolden datasetfaithfulnesscontext recallregression testingA/B testingBraintrustLangSmith
Learning path
RAG System Design for Interviews→Evaluation Strategy & Quality Metrics ← you are here→GenAI System Design PatternsLLM Production Operations & Observability
What this module tests
- Conceptual understanding of evaluation strategy & quality metrics fundamentals
- Trade-offs and design decisions in real system scenarios
- evaluation and LLM-as-judge — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Evaluation Strategy & Quality Metrics check →
10 questions · Dimension scoring · AI coach feedback · Shareable result
Test your knowledge — free →No credit card · Takes 10–15 min
Frequently asked questions
- What does the Evaluation Strategy & Quality Metrics check test?
- The check covers building an evaluation system that doesn't lie: golden dataset construction, llm-as-judge patterns and biases, ragas metrics (faithfulness, answer relevance, context precision/recall), human-eval calibration, regression detection in ci/cd, a/b testing for llm apps, and the evaluation questions interviewers ask.. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Evaluation Strategy & Quality Metrics?
- Key concepts include: evaluation, LLM-as-judge, RAGAS, golden dataset, faithfulness, context recall, regression testing, A/B testing, Braintrust, LangSmith. These frequently appear in genai engineering interviews at product and infrastructure companies.
- How many questions are in the check?
- Each check has 10 questions — a mix of MCQ and short-answer. You get scored by dimension (e.g., scalability, consistency) so you know exactly where to focus.
- How long does it take to study Evaluation Strategy & Quality Metrics?
- Most engineers spend around 3 hours on this module. The check itself takes about 10–15 minutes. You can retake it up to 3 times per day.
- What prerequisite knowledge do I need before Evaluation Strategy & Quality Metrics?
- Evaluation Strategy & Quality Metrics builds on RAG System Design for Interviews. Complete those first for the best results.
- Is evaluation, LLM-as-judge, RAGAS covered?
- Yes. The Evaluation Strategy & Quality Metrics module covers evaluation, LLM-as-judge, RAGAS among other key concepts. The check includes questions that reflect real genai engineering interview patterns.