[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All skill tests](https://jobicy.com/tests.md) Skill assessment # Retrieval-Augmented Generation Prompt Design Skills Test Assess your ability to write prompts that guide AI systems to use retrieved sources accurately and transparently. Focus on grounded answers, source handling, context boundaries, and useful fallback behavior. [Start the test](#test-start) Share Assessment setup Ready ## Choose the level that matches your current experience. * 01 Basic Available * 02 Intermediate Available * 03 Advanced Available Instant result Review your score after submission 20–30 Questions per assessment 15–45 min Estimated completion time 3 levels Choose your difficulty Generative AI & Prompting [View category](https://jobicy.com/test-category/generative-ai-prompting.md) Start assessment ## Choose your level and begin. Answer without outside help so the result reflects your current knowledge. You will see your score after completing the selected assessment. Retrieval-augmented generation connects a language model with a curated set of documents at answer time. Effective prompt design helps the model distinguish retrieved evidence from instructions, cite support appropriately, handle missing information honestly, and produce responses that match the requested format. Basic Intermediate Advanced This is a demo version of the test. You may attempt up to 3 questions. To take the full test and save your results, please [log in](https://jobicy.com/dashboard-page.md) or [create an account](https://jobicy.com/dashboard-page#tab2.md). This is a demo version of the test. You may attempt up to 3 questions. To take the full test and save your results, please [log in](https://jobicy.com/dashboard-page.md) or [create an account](https://jobicy.com/dashboard-page#tab2.md). This is a demo version of the test. You may attempt up to 3 questions. To take the full test and save your results, please [log in](https://jobicy.com/dashboard-page.md) or [create an account](https://jobicy.com/dashboard-page#tab2.md). Test details ## Know what to expect. Review the instructions, covered skills, example question themes, and intended audience before beginning. 01 ### Instructions and covered skills Read each prompt-design scenario carefully before selecting a response. Focus on what the model should do with retrieved material rather than relying on outside knowledge. Keep track of constraints such as source boundaries, citation requirements, and output formats. Avoid distractions and turn off notifications before beginning. Choose the option that best supports reliable, grounded responses. Review wording closely when options differ by a small but meaningful instruction. ### Key Areas This test covers prompt patterns for retrieval-augmented generation, where a language model receives relevant documents alongside a user request. Candidates work with instructions that establish the role of retrieved context, limit answers to supported evidence, and prevent the model from filling gaps with unverified information. Key areas include context delimiting, source prioritization, citation placement, handling contradictory passages, and responding when the retrieved material does not answer the question. Strong performance also requires attention to instruction hierarchy. A well-designed prompt distinguishes application rules, user requests, and retrieved documents so that text inside a source cannot silently change the task. Candidates should recognize how to request structured outputs, such as an answer followed by cited evidence, without encouraging fabricated citations. They should also understand when a concise synthesis is appropriate and when the model should preserve uncertainty, quote exact language, or ask for clarification. ### Recommended Preparation Practice reviewing document-grounded prompts for ambiguous language. Rewrite instructions so they state what sources may be used, how claims should be supported, and what the model should say when support is absent. Work with sample knowledge-base articles, policies, product documentation, and research excerpts that contain overlapping or inconsistent information. Compare prompts that ask for a general answer with prompts that require claim-level citations and explicit uncertainty. Prepare by designing output templates for common workflows, including support responses, policy summaries, document comparison, and question answering. Pay particular attention to source labels, delimiters, relevance rules, and citation conventions. Consider failure cases such as irrelevant retrieval, contradictory documents, embedded instructions inside a document, and requests that cannot be answered from the supplied context. The goal is to create prompts that produce useful answers while making the model's evidence boundaries clear to the reader. 02 ### Examples of questions 1. What instruction most clearly restricts an answer to retrieved policy documents? 2. How should a prompt tell the model to handle a question not covered by the context? 3. Which citation format best connects a claim to a supplied source chunk? 4. Why should retrieved documents be separated from user instructions in a prompt? 5. What should the model do when two retrieved sources give conflicting dates? 6. Which prompt instruction helps prevent unsupported product claims? 7. How can a prompt request a concise answer while preserving source attribution? 8. What is an appropriate instruction for quoting a source exactly? 9. How should a prompt define the priority of system rules over retrieved content? 10. Which output structure is useful for separating an answer from its supporting evidence? 03 ### Who this test is best for Knowledge management specialists, AI product teams, support operations professionals, content system designers, and professionals building document-grounded AI workflows. Related assessments ## Continue with a similar skill test. Explore assessments from the same professional area to compare adjacent skills and build a broader picture of your knowledge. [Generative AI & Prompting 3 levelsGenerative AI Structured Output and JSON Schema Prompting Skills TestEvaluate the ability to prompt generative AI systems for reliable, machine-readable responses. Focus on schema design, validation, constraints, and recovery from malformed output. 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