Prompt Engineer as a Career Quiz

Answers and explanations appear as you take the quiz.

1. Which activity is a core part of prompt engineering work according to the guide?
   • Training foundation models from scratch on GPUs
   • Building evaluation sets and testing prompt changes against them
   • Designing computer chips for AI
   • Negotiating cloud computing contracts
2. What does context engineering refer to?
   • Choosing which documents, tool results, memory and history go into the model's context window
   • Writing prompts only in formal academic language
   • Engineering the physical environment of data centers
   • Translating prompts into multiple languages
3. Why have dedicated prompt engineer titles become relatively rare?
   • Prompting was banned by regulators
   • Companies stopped using language models
   • The skill has been absorbed into roles such as AI engineer, conversation designer and domain specialist
   • Prompt engineering now requires a medical license
4. What is DSPy mentioned as an example of?
   • A job board for AI roles
   • A vector database
   • A regulation on AI hiring
   • An open-source framework for automatic prompt optimization
5. In Prompt Engineer as a Career: which statement does the guide identify as a misconception?
   • Prompt engineering is about secret magic phrases
   • Domain expertise helps define correct answers
   • Evaluations should be rerun when models change
   • Prompts should be version-controlled
6. Before using an LLM as a judge to grade outputs, what should you do?
   • Make sure it is the most expensive model available
   • Check its scores against human labels
   • Remove all edge cases from the test set
   • Give it the correct answers in the prompt being tested
7. Why should you change only one thing at a time when iterating on a prompt?
   • Models reject prompts with several changes
   • It lowers the cost of each API call
   • It lets you tell which change caused an improvement or regression
   • It is required by the model's terms of service
8. What makes a strong prompt engineering portfolio project according to the guide?
   • A single clever prompt shared without context
   • A list of certificates from online courses
   • Screenshots of chatbot conversations
   • A defined task, a test set, baseline results, documented iterations and final metrics