Requirements
Review and acceptance of the Candidate Agreement are required to start the exam
Exam functionality instructions are provided following the Candidate Agreement
Exam Format
Questions are structured in a multiple-choice, single-select format
Exams are timed and the timer is displayed once questions are presented
Exams will be submitted when the timer ends, regardless of the number of questions answered
Scores are calculated by the number of correctly answered questions
Unanswered questions will be marked as incorrect
“Submit” button ends the exam and a score will be calculated
Practice Test Format
Format reflects the same number of questions, level of difficulty, timebox, and domain areas as the exam
Unlimited attempts
Passing the practice test does not guarantee passing the exam and is provided as a preparation resource
Interpreting the Feedback
DO NOT close the feedback window until you have reviewed your question-level feedback.
The option marked is what you selected in the assessment.
The bar below each question shows the points earned out of the total points possible.
It will say "Question not answered" if you did not provide a response for the question during the assessment.
Below each question answered incorrectly is reference information for additional guidance.
Details are subject to change at any time
Duration | 90 minutes |
Number of Questions | 45 |
Passing Score | 80% |
Delivery | Web-based, closed book, no outside assistance |
Access | Learning Plan (after course completion) |
Cost | The first two attempts are included in your course registration fee when taken within 60 days of course completion. Additional attempts are available for a fee. Please refer to the Retake Policy below.
|
Retake Fee | $50 |
Retake Policy |
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Domain | Topics | References |
Creating Great Products in the Age of AI |
| Lesson 1
|
AI Agent-Driven Workflows for Product Professionals |
| Lesson 2 |
Maximize the Value of AI Product Decisions |
| Lesson 3 |
Evaluating AI Quality in Product Work |
| Lesson 4 |
AI-Empowered Customer and Market Sensing |
| Lesson 5 |
AI-Empowered Product Discovery |
| Lesson 6 |
Design and Prototype Products with AI |
| Lesson 7 |
Deliver Real Product Returns from AI Investments |
| Lesson 8 |
