A team is developing a prompt for a legal assistant. They have iterated on the prompt several times and want to track changes, compare performance, and roll back if needed. Which AWS service or feature should they use?

Amazon Bedrock Prompt Management

A content moderation system uses a foundation model to flag toxic comments. The system currently uses a prompt that says 'Classify the comment as toxic or not toxic.' The team wants to reduce false positives by adding guidance on what should NOT be considered toxic. Which prompt component should they add?

A longer instruction with more context

A few-shot example of a toxic comment

A prompt engineer is iterating on a prompt to improve response quality. Which practice is a best practice for prompt engineering?

Experiment with different phrasings and evaluate the results

Use vague language to allow the model more creative freedom

Always use the longest possible prompt to maximize information

Avoid providing any examples to prevent biasing the model

A developer is writing a prompt for a model that generates SQL queries from natural language. The developer wants to reduce ambiguity and improve the accuracy of the generated queries. Which prompt-writing practice is most effective?

Include multiple possible interpretations in the prompt

Keep the prompt as short as possible

Use vague and general language to allow the model flexibility

Be specific and include the schema and constraints

A prompt engineer wants to prevent a model from including unsupported claims in its response. Which prompt construct should be added to the prompt?

A single example of a desired response

A negative prompt such as 'Do not include information that is not supported by the provided sources.'

A longer context section that describes the topic in detail

A chain-of-thought instruction to reason step by step

AWSCertified AI Practitioner

Domain 3Objective 2

Task Statement 3.2: Choose Effective Prompt Engineering Techniques. AIF-C01 Practice Questions (Page 4)

Part of the Content Domain 3: Applications of Foundation Models domain, which makes up ~32% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)

20questions here

4free pages

5concepts

Questions 16–20

16application · medium
A team is developing a prompt for a legal assistant. They have iterated on the prompt several times and want to track changes, compare performance, and roll back if needed. Which AWS service or feature should they use?
Select an answer first
17application · medium
A content moderation system uses a foundation model to flag toxic comments. The system currently uses a prompt that says 'Classify the comment as toxic or not toxic.' The team wants to reduce false positives by adding guidance on what should NOT be considered toxic. Which prompt component should they add?
Select an answer first
18foundation · easy
A prompt engineer is iterating on a prompt to improve response quality. Which practice is a best practice for prompt engineering?
Select an answer first
19application · medium
A developer is writing a prompt for a model that generates SQL queries from natural language. The developer wants to reduce ambiguity and improve the accuracy of the generated queries. Which prompt-writing practice is most effective?
Select an answer first
20foundation · easy
A prompt engineer wants to prevent a model from including unsupported claims in its response. Which prompt construct should be added to the prompt?
Select an answer first

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