A researcher is using an AI to summarize a set of scientific papers. The researcher wants to be confident that the summary does not misrepresent the papers' findings. Which prompt is most effective?

Summarize the papers in a way that is easy to understand.

Summarize the attached papers. For each claim in your summary, cite the specific paper and section that supports it. If you cannot find support, do not include the claim.

Summarize the papers, and if you are unsure about a finding, state it as a possibility.

Summarize the papers and highlight the most important findings.

A software company is integrating an AI assistant into its IDE to suggest code snippets. The team is concerned about the AI suggesting code that contains security vulnerabilities. They want a mitigation strategy that balances developer productivity with security. Which approach is best?

Use a prompt that instructs the AI to include a warning if the suggested code might have security implications, and integrate a static analysis tool to scan all AI-generated code before it is committed.

Ask the AI to provide a confidence score for the security of each suggestion.

Disable the AI assistant entirely to avoid any security risk.

Instruct the AI to always generate the most secure code possible, even if it is less efficient.

In an iterative refinement loop, what should you do after the AI produces an incorrect response?

Ask the AI to explain why it was wrong

Rephrase the prompt to be more specific and try again

A data analyst is using an AI tool to generate a report from a provided dataset. The analyst wants to ensure that every number in the report matches the dataset. Which prompt best achieves this?

Generate the report and make sure it looks professional.

Generate the report using the dataset as a reference.

Generate the report. After writing it, re-read the dataset and verify that every statistic you cited appears in the data. If any number is not found, correct it or flag it.

Generate the report, and if you are unsure about a number, estimate it based on the overall trend.

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 5)

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 21–25

21application · medium
A researcher is using an AI to summarize a set of scientific papers. The researcher wants to be confident that the summary does not misrepresent the papers' findings. Which prompt is most effective?
Select an answer first
22expert · hard
A software company is integrating an AI assistant into its IDE to suggest code snippets. The team is concerned about the AI suggesting code that contains security vulnerabilities. They want a mitigation strategy that balances developer productivity with security. Which approach is best?
Select an answer first
23foundation · easy
What type of hallucination occurs when an AI model provides a response that is irrelevant to the user's question?
Select an answer first
24foundation · easy
In an iterative refinement loop, what should you do after the AI produces an incorrect response?
Select an answer first
25application · medium
A data analyst is using an AI tool to generate a report from a provided dataset. The analyst wants to ensure that every number in the report matches the dataset. Which prompt best achieves this?
Select an answer first

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