A baseline response to "Explain machine learning" is a long, technical paragraph. The desired output is a short, simple explanation for a non-technical audience. Which prompt adjustment technique would be most effective?

Adding more technical details to the prompt.

Changing the model's temperature to 0.

Adding an instruction to 'Explain in simple terms for a non-technical audience, using no jargon, in 2-3 sentences.'

Removing all instructions from the prompt.

A legal research tool uses an LLM to answer questions about case law. When asked 'What is the statute of limitations for breach of contract in California?', the model gives a generic answer that may not apply to all contract types. How can augmentation improve the response?

Add a generic instruction to 'be accurate' without any additional context.

Remove the term 'California' to get a more general answer.

Use the baseline response as-is because it is generally correct.

Extract the terms 'statute of limitations', 'breach of contract', and 'California' and retrieve relevant legal documents to include as context.

A customer writes: 'I want to return my order #12345 because it's damaged. Also, can you tell me if you have this in a larger size?' A support chatbot needs to handle both requests. What is the best augmentation strategy?

Identify two intents: 'return request' and 'product inquiry', extract the order number and product details, and structure the prompt to address both.

Identify only the 'return request' intent and ignore the second question.

Ask the user to submit two separate requests before proceeding.

Extract only the order number and treat the entire input as a single return request.

A user types: 'I'm having trouble logging in. Is the server down?' A support bot needs to decide whether to check server status or guide the user through password reset. What is the first step in the augmentation process?

Ask the user to clarify their question before doing anything.

Immediately guide the user through a password reset.

Detect the intent as 'troubleshooting login' and extract the key field 'server status' to determine the next action.

Check the server status first without understanding the user's intent.

A developer is using an LLM to generate marketing copy. The first prompt 'Write a tagline for a new coffee brand' produces a long paragraph. The developer changes the prompt to 'Write a short tagline.' The model still produces a paragraph. What should the developer try next?

Use the same prompt but increase the temperature to 0.9.

Remove the word 'short' and just say 'Write a tagline'.

Ask the model to 'be creative' in the prompt.

Add a constraint like 'Maximum 10 words' and provide an example of a short tagline.

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Domain 3Objective 2

Prompt Engineering and Augmentation GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 2)

Part of the Section 3: Application Development domain, which makes up ~18% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–11 in this domain), expect 1–2 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

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Questions 6–10

6foundation · easy
A baseline response to "Explain machine learning" is a long, technical paragraph. The desired output is a short, simple explanation for a non-technical audience. Which prompt adjustment technique would be most effective?
Select an answer first
7application · medium
A legal research tool uses an LLM to answer questions about case law. When asked 'What is the statute of limitations for breach of contract in California?', the model gives a generic answer that may not apply to all contract types. How can augmentation improve the response?
Select an answer first
8application · medium
A customer writes: 'I want to return my order #12345 because it's damaged. Also, can you tell me if you have this in a larger size?' A support chatbot needs to handle both requests. What is the best augmentation strategy?
Select an answer first
9application · medium
A user types: 'I'm having trouble logging in. Is the server down?' A support bot needs to decide whether to check server status or guide the user through password reset. What is the first step in the augmentation process?
Select an answer first
10application · medium
A developer is using an LLM to generate marketing copy. The first prompt 'Write a tagline for a new coffee brand' produces a long paragraph. The developer changes the prompt to 'Write a short tagline.' The model still produces a paragraph. What should the developer try next?
Select an answer first

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