How can AI support tailoring PRINCE2 to a specific project context?

By replacing the project manager in making all tailoring decisions

By removing the need for tailoring decisions

By recommending which PRINCE2 management products to use based on project characteristics

By automatically applying the same tailoring to all projects

A PRINCE2 Agile project manager needs to update the risk register after each sprint review. The team uses an AI tool that automatically scans new user stories and identifies potential risks. What is the most important limitation the project manager should consider before relying on this AI output?

The AI will replace the need for a risk owner.

The AI may miss risks that are not evident in the text of the user stories.

The AI cannot be used because PRINCE2 requires manual risk management.

The AI will always produce more risks than human experts.

How can AI be used to support the creation of a PRINCE2 management product in an agile environment?

By making final decisions on the project's approach

By replacing the need for a project plan

By automatically approving the business case

By drafting the initial risk register based on historical project data

Which of the following is an example of AI supporting monitoring activities in a PRINCE2 Agile project?

Using AI to facilitate the daily stand-up meeting

Using AI to automatically update the project plan with new tasks

Using AI to write the project's lessons report

Using AI to detect anomalies in project progress data and alert the project manager

A PRINCE2 Agile project is running in a highly regulated environment. The project manager wants to use AI to tailor the PRINCE2 management products to the project's needs. Which approach best balances AI support with governance requirements?

Avoid AI entirely because it cannot meet regulatory requirements.

Use AI to draft the business case, but have the project board review and approve it.

Let AI automatically update the business case whenever new data is available.

Use AI to make final decisions on tailoring the project approach.

PRINCE2 Agile Foundation (Version 2)

Domain 4Objective 2

The Use of AI to Support PRINCE2 Agile PRINCE2-AGILE-FOUNDATION-V2 Practice Questions (Page 1)

Part of the The integration of PRINCE2 Agile in the wider context domain, which accounts for 5.0% of the PRINCE2-AGILE-FOUNDATION-V2 exam. PeopleCert does not publish an official question count, but from its 60-minute exam (~25–40 total, ~1–1 in this domain), expect 1–1 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

5concepts

5.0%of the exam

Questions 1–5

1foundation · easy
How can AI support tailoring PRINCE2 to a specific project context?
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2application · medium
A PRINCE2 Agile project manager needs to update the risk register after each sprint review. The team uses an AI tool that automatically scans new user stories and identifies potential risks. What is the most important limitation the project manager should consider before relying on this AI output?
Select an answer first
3foundation · easy
How can AI be used to support the creation of a PRINCE2 management product in an agile environment?
Select an answer first
4foundation · easy
Which of the following is an example of AI supporting monitoring activities in a PRINCE2 Agile project?
Select an answer first
5application · medium
A PRINCE2 Agile project is running in a highly regulated environment. The project manager wants to use AI to tailor the PRINCE2 management products to the project's needs. Which approach best balances AI support with governance requirements?
Select an answer first

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