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Free Product Owner AI Essentials (PSPO-AI Essentials) Practice Assessment

Free Product Owner AI Essentials (PSPO-AI Essentials) Practice Assessment

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Question 1 of 20

1. Question

Why is data privacy a key concern when using AI tools?

AI tools may access sensitive data
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AI tools can operate without internet access
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Privacy breaches are only a concern during initial setup
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AI tools never store input data
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Question 2 of 20

2. Question

Agentic AI reduces the need for constant prompting by making its own decisions based on high-level instructions.

True
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False
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Incorrect
Question 3 of 20

3. Question

AI tools may store data such as prompts and transcripts indefinitely unless instructed otherwise.

True
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False
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Correct

Incorrect
Question 4 of 20

4. Question

How does AI improve product discovery?

By analyzing data to uncover patterns
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By eliminating the need for market research
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By directly creating final product features
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By replacing user testing
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Question 5 of 20

5. Question

Why is it important to review outputs from generative AI?

It may produce biased content
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It always copies its training data exactly
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It produces legal documents without errors
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It is only usable for entertainment purposes
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Question 6 of 20

6. Question

What sets Perplexity apart from other generative AI tools?

It cites its sources and provides web links
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It generates visual artwork based on prompts
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It is limited to offline use only
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It does not allow follow-up questions or dialogue
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Question 7 of 20

7. Question

What communication tasks can AI assist with?

Rephrasing and translating content
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Enforcing corporate communication policies
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Replacing human presenters at events
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Filtering out user emails permanently
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Question 8 of 20

8. Question

Why must AI outputs always be reviewed?

AI may produce biased or inaccurate content
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AI is legally responsible for all actions taken
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AI always delivers flawless and final decisions
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AI content cannot be edited by humans
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Question 9 of 20

9. Question

What affects the carbon footprint of AI hosting?

The energy source powering the data centres
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The colour of the server casing
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The user’s browser history
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The physical distance between users
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Question 10 of 20

10. Question

Which element makes a prompt more effective for generating a user story?

Including the desired format
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Requesting an answer without any structure
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Using as few words as possible to keep it simple
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Asking the AI to improvise freely
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Question 11 of 20

11. Question

What is the best way to improve the skill of writing AI prompts?

Practise, experiment and refine based on results
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Memorise one fixed way of prompting and use it always
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Only use predefined templates for all tasks
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Avoid trying new formats to maintain consistency
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Question 12 of 20

12. Question

What is the primary purpose of the 3×3 Framework for product vision?

To build a compelling story around a product
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To create a technical specification for Developers
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To calculate return on investment for new features
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To automate the generation of vision documents
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Question 13 of 20

13. Question

What is a known limitation of AI code creation tools?

They cannot replace skilled engineers
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They cannot generate any working prototypes
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They replace all user interface designers
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They handle all regulatory compliance work
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Question 14 of 20

14. Question

What best defines Agentic AI?

AI systems that take goal-directed action over time
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AI that responds only to direct user prompts
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AI that provides one-off outputs without context
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AI focused solely on numerical calculation
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Question 15 of 20

15. Question

How does Flowrite support email writing?

It expands short prompts into polished email drafts
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It translates emails into multiple languages
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It extracts KPIs from email content
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It schedules follow-up calls automatically
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Question 16 of 20

16. Question

What is a current limitation of agentic AI?

Real-world applications are still limited and evolving
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It can’t summarise any type of text
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It only works in offline desktop environments
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It is already fully autonomous across industries
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Question 17 of 20

17. Question

Why must Product Owners be cautious about the accuracy of AI-generated outputs?

Poor quality data can lead to flawed decisions
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AI outputs are guaranteed to be free from bias
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High accuracy is not important for internal use
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Data accuracy is automatically managed by the tool
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Question 18 of 20

18. Question

How should users respond if an AI’s first output is vague?

Refine the prompt to include more detail
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Restart the AI tool and try a completely unrelated prompt
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Increase the font size of the prompt
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Assume the AI cannot handle the task
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Question 19 of 20

19. Question

What is a responsible step Product Owners can take to reduce AI’s environmental impact?

Choose vendors committed to sustainability
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Increase the number of prompts sent per user
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Enable all automation by default
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Disable transparency reports from vendors
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Question 20 of 20

20. Question

Which of the following is an example of AI task automation?

Scheduling meetings
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Delivering physical packages to customers
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Replacing project managers entirely
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Designing physical hardware for user devices
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