These are Prompt Engineering questions of the kind Accenture actually asks — the patterns that keep coming back in Accenture's AI project interviews, where what matters is applying Prompt Engineering sensibly for clients rather than research depth. Treat this page as a mock interview: say every answer out loud before revealing it. If one surprises you, the lesson behind it is linked at the bottom.
Accenture Prompt Engineering concept questions
What is the difference between a system prompt and a user prompt, and what belongs in each?
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A client's classification prompt is correct about 80% of the time. Walk me through how you would improve it.
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Accenture Prompt Engineering applied & hands-on questions
A bank client wants an assistant that answers questions about a customer's own transactions. Write the system prompt, and list two rules you would enforce outside the model.
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How to use this page: Accenture rarely asks something you've never seen — they ask a standard Prompt Engineering concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the Prompt Engineering course lessons, and the follow-up stops being scary.
Keep practising: Anatomy of a Prompt, Zero-shot & Few-shot, Chain-of-Thought and Prompt Injection & Safety cover what most Accenture Prompt Engineering rounds test — and the Accenture exam guide covers the rest of their selection process.