A marketing team is developing a new advertising campaign. They have several rough concepts but need to expand them into full campaign ideas and evaluate which is most likely to resonate with their target audience. Which approach best uses AI for ideation?

Ask an AI chatbot to write the final ad copy for the first concept without any further refinement.

Provide the rough concepts to an AI tool, ask it to generate variations, and then use AI to score each variation against audience personas.

Ask the AI to select the best concept based on the rough ideas, then immediately produce the campaign assets.

Use AI to research the target audience, but brainstorm campaign ideas manually.

A legal researcher needs to review a large number of case documents to identify precedents relevant to a current case. They want to use AI to speed up the process. Which technique best applies AI-assisted research?

Use an AI document-analysis tool to search for key legal concepts and summarize relevant passages from each document.

Ask an AI chatbot to list relevant precedents based on its general legal knowledge, without reviewing the documents.

Manually read each document and then use an AI tool to format the citations.

Use an AI tool to translate the documents into a common language, then read them manually.

A data scientist is exploring a new dataset to generate hypotheses for further analysis. They want to use AI to identify patterns and suggest potential relationships between variables. Which approach best applies AI-assisted research and ideation?

Use a traditional statistical tool to compute correlations, and then manually write hypotheses.

Use an AI-powered data exploration tool to automatically detect correlations and outliers, then ask an AI assistant to propose hypotheses based on those findings.

Ask an AI chatbot to generate hypotheses based on the dataset's metadata without actually analyzing the data.

Manually inspect the data and then ask an AI chatbot to confirm the hypotheses the data scientist already has.

A research analyst is investigating customer sentiment from thousands of social media posts. They want to use AI to identify common themes and quantify positive versus negative opinions. Which technique best applies AI-assisted research?

Ask an AI chatbot to write a summary of customer sentiment based on its general knowledge of the industry.

Use an AI tool to generate a report based on a few representative posts the analyst selects.

Use an AI sentiment-analysis tool to classify posts and an AI topic-modeling tool to extract recurring themes.

Manually read a sample of posts and then ask an AI chatbot to guess the overall sentiment.

A content creator needs to write a blog post on a technical topic. They have a general outline but want to expand it into a full article with engaging language and a logical flow. Which AI-assisted drafting technique is most effective?

Provide the outline to an AI writing assistant and ask it to expand each section with detailed content and transitions.

Ask an AI chatbot to write the entire blog post from scratch without providing the outline.

Use an AI tool to generate a list of keywords, then manually write the article.

Write the article manually and then use an AI tool to check for plagiarism.

CiscoAI Technical Practitioner

Domain 4Objective 4

4.4 Describe Techniques for AI-assisted Research, Ideation, and Content Drafting AI-TECHNICAL-PRACTITIONER Practice Questions (Page 1)

Part of the Data Research and Analysis domain, which accounts for 10% of the AI-TECHNICAL-PRACTITIONER exam. Cisco does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–4 in this domain), expect 1–1 from this objective — we provide 12 practice questions to prepare you well beyond it. (estimate)

12questions here

3free pages

3concepts

10%of the exam

Questions 1–5

1application · medium
A marketing team is developing a new advertising campaign. They have several rough concepts but need to expand them into full campaign ideas and evaluate which is most likely to resonate with their target audience. Which approach best uses AI for ideation?
Select an answer first
2application · medium
A legal researcher needs to review a large number of case documents to identify precedents relevant to a current case. They want to use AI to speed up the process. Which technique best applies AI-assisted research?
Select an answer first
3application · medium
A data scientist is exploring a new dataset to generate hypotheses for further analysis. They want to use AI to identify patterns and suggest potential relationships between variables. Which approach best applies AI-assisted research and ideation?
Select an answer first
4application · medium
A research analyst is investigating customer sentiment from thousands of social media posts. They want to use AI to identify common themes and quantify positive versus negative opinions. Which technique best applies AI-assisted research?
Select an answer first
5application · medium
A content creator needs to write a blog post on a technical topic. They have a general outline but want to expand it into a full article with engaging language and a logical flow. Which AI-assisted drafting technique is most effective?
Select an answer first

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