Which prompt is an example of eliciting uncertainty from the AI?

List all possible answers to the question.

Give a detailed explanation of the topic.

Answer the question: What is the capital of France?

Provide the answer and state how confident you are in it, on a scale of 1 to 10.

A compliance officer needs an AI to generate a summary of a new data protection regulation. The summary will be distributed to employees. The officer wants to avoid any misinterpretation that could lead to compliance violations. Which prompt is best?

Summarize the regulation in plain language that is easy for employees to understand.

Summarize the regulation and provide practical examples of how to comply.

Summarize the attached regulation text. For each key requirement, quote the exact wording from the regulation. If a requirement is ambiguous, state that it is ambiguous and do not interpret it.

Summarize the regulation and indicate your confidence in each point.

Which prompt is designed to encourage cross-checking?

Explain the article in your own words.

List the main points of the article and then compare your list with the article to ensure accuracy.

Write a short story based on the article.

What is the primary goal of iterative refinement in prompt engineering?

To ensure the AI always gives the same answer

To reduce the number of tokens used

To progressively improve the output by adjusting prompts based on feedback

A team is using an AI to draft a technical specification. The first draft has several inaccuracies. The team wants to use an iterative refinement process to improve the draft. Which approach is most effective?

Have a human rewrite the entire draft manually.

Ask the AI to make the draft more concise.

Ask the AI to rewrite the entire draft from scratch without any feedback.

Provide the draft back to the AI with a list of the specific inaccuracies and ask it to correct them one by one, explaining each correction.

CiscoAI Technical Practitioner

Domain 2Objective 4

2.4 Explain Defensive Prompting and Mitigation Strategies for AI-generated Errors (e.g., Hallucinations) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 6)

Part of the Prompt Engineering domain, which accounts for 15% of the AI-TECHNICAL-PRACTITIONER exam. Cisco does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–6 in this domain), expect 1–2 from this objective — we provide 35 practice questions to prepare you well beyond it. (estimate)

35questions here

7free pages

9concepts

15%of the exam

9 Concepts in This Objective

Defensive Prompting Overview
Hallucination Types and Causes
Prompt Structuring Techniques
Grounding and Context Provision
Constraint and Format Specification
Verification and Cross-Checking Prompts
Uncertainty Expression and Confidence Elicitation
Iterative Refinement and Feedback Loops
Mitigation Strategies for Hallucinations

Questions 26–30

26foundation · easy
Which prompt is an example of eliciting uncertainty from the AI?
Select an answer first
27expert · hard
A compliance officer needs an AI to generate a summary of a new data protection regulation. The summary will be distributed to employees. The officer wants to avoid any misinterpretation that could lead to compliance violations. Which prompt is best?
Select an answer first
28foundation · easy
Which prompt is designed to encourage cross-checking?
Select an answer first
29foundation · easy
What is the primary goal of iterative refinement in prompt engineering?
Select an answer first
30expert · hard
A team is using an AI to draft a technical specification. The first draft has several inaccuracies. The team wants to use an iterative refinement process to improve the draft. Which approach is most effective?
Select an answer first

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