AI-Powered Product Management Exam – Questions & Correct Answers
This exam tests your understanding of the integration of Artificial Intelligence (AI) into product management practices, focusing on concepts such as the Product Management Life Cycle, product-led growth (PLG), and AI technologies like machine learning and generative AI.
Total Questions: 25
Format: Multiple Choice (One or more correct answers per question if specified)
Time Allotted: 45 minutes
Passing Score: 70%
Instructions: Choose the most appropriate answer for each question. Correct answers are marked below each question.
Q1: What is image generation?
A) When deep learning models create realistic images from textual descriptions or even generate entirely new artistic visuals
B) When AI models synthesize human-like speech for applications like virtual assistants and voiceovers
C) When deep learning models assist developers by automatically generating code snippets or suggesting code completions based on context
D) None of the above
Answer: A) When deep learning models create realistic images from textual descriptions or even generate entirely new artistic visuals
Q2: How can AI help with the fifth PLG principle, which is making purchasing feel like the natural next step?
A) AI can predict which users have the authority at their company to purchase the paid version of the product
B) Product managers can use AI to communicate with users that are showing intent to upgrade
C) An AI tool can analyze multiple types of data to identify the right moments for prompting users with in-app notifications to purchase
D) AI cannot help with this PLG principle
Answer: C) An AI tool can analyze multiple types of data to identify the right moments for prompting users with in-app notifications to purchase
Q3: What are two common types of free user experiences?
A) Free trials and freemium products
B) New user onboarding and free trials
C) Freemium products and in-product help
D) Feature launches and product tours
Answer: A) Free trials and freemium products
Q4: What is product-led growth?
A) A framework for how product teams should collaborate with engineering, marketing, sales, and customer success
B) A method for planning and executing the product roadmap on a quarterly basis
C) A business strategy that places a company’s software product at the center of the buying journey
D) A way to measure how much revenue your product is bringing in for the business
Answer: C) A business strategy that places a company’s software product at the center of the buying journey
Q5: How can product managers leverage AI in the Discover phase of the Product Management Life Cycle?
A) Product managers can utilize AI to skip the discovery process entirely
B) AI can lengthen the discovery process and make it more difficult for product managers to analyze data
C) AI tools can identify patterns across multiple data sources, allowing product managers to power discovery with more data than ever before
D) None of the above
Answer: C) AI tools can identify patterns across multiple data sources, allowing product managers to power discovery with more data than ever before
Q6: What is the Product Management Life Cycle?
A) A tool for handing off requirements to the engineering team
B) A methodology for releasing products over extended periods of time
C) A framework for how great products are built and improved
D) A way to structure and organize your product roadmap
Answer: C) A framework for how great products are built and improved
Q7: What is the difference between machine learning and deep learning?
A) Deep learning can process a wider range of data types and often produces more accurate results than traditional machine learning
B) Machine learning algorithms can detect patterns and learn how to make decisions, while deep learning algorithms cannot
C) Deep learning algorithms can process inputs faster than machine learning
D) There is no difference between machine learning and deep learning
Answer: A) Deep learning can process a wider range of data types and often produces more accurate results than traditional machine learning
Q8: How can AI help with the third PLG principle, which is committing to best-in-class usability?
A) An AI tool can predict where users are going to hit friction points in the product in the future
B) AI can analyze user behavior to identify friction points and even automatically suggest resources to users based on their behavior
C) Product managers can use AI determine why the product’s usability isn’t on par with what users want and need
D) AI can replay a user’s path in the product so the product manager can see where they ran into issues
Answer: B) AI can analyze user behavior to identify friction points and even automatically suggest resources to users based on their behavior
Q9: Which types of documentation can AI help speed up the creation of? (Select the correct three)
A) Acceptance criteria
B) Launch checklists
C) User stories
D) Product requirements documents
Answer: A) Acceptance criteria, C) User stories, D) Product requirements documents
Q10: What are the three categories of AI’s place in building products?
A) Improving products, communication, and automation
B) Testing, data analysis, and product-led growth
C) Replacing humans, feedback management, and experimentation
D) Data analysis, experimentation, and communication
Answer: D) Data analysis, experimentation, and communication
Q11: Which principle of product-led growth can AI help improve?
A) Committing to best-in-class usability
B) Delivering an “aha” moment as soon as possible
C) Making purchasing feel like the natural next step
D) All of the above
Answer: D) All of the above
Q12: In which area does AI bring the most value to product managers during the Build phase of the Product Management Life Cycle?
A) Product testing
B) Launch communications
C) Roadmap planning
D) Code generation
Answer: A) Product testing
Q13: What is generative AI?
A) A type of artificial intelligence that generates answers before someone even asks a question
B) An artificial intelligence model that generates content in response to a prompt
C) Technology that helps machines process and understand human language so that they can automatically perform repetitive tasks
D) The ability of a machine to perform cognitive functions we usually associate with human intelligence
Answer: B) An artificial intelligence model that generates content in response to a prompt
Q14: What is the value of establishing AI principles?
A) It serves as a roadmap for what you’re going to build with AI and how you’ll use AI tools
B) Everyone in your product and engineering organization is aligned on your approach with AI and can refer back to the principles at any time
C) Leadership will know how the product team is using AI and be able to share this information with the rest of the company
D) There is no value in establishing AI principles
Answer: A) It serves as a roadmap for what you’re going to build with AI and how you’ll use AI tools
Q15: Which team at a product-led organization can leverage AI?
A) Marketing
B) Customer Success
C) Sales
D) All of the above
Answer: D) All of the above
Q16: What is an example of something you should look for in a product management tool with AI capabilities?
A) Low cost
B) Usability
C) Self-serve capabilities
D) Complex workflows
Answer: D) Complex workflows
Q17: What is the correct order of the Product Management Life Cycle?
A) Define a Business Outcome, Discover, Validate, Build, Launch, Evaluate, Iterate
B) Discover, Validate, Define a Business Outcome, Build, Launch, Evaluate, Iterate
C) Define a Business Outcome, Build, Launch, Evaluate, Iterate, Discover, Validate
D) Build, Launch, Define a Business Outcome, Validate, Iterate, Evaluate, Discover
Answer: A) Define a Business Outcome, Discover, Validate, Build, Launch, Evaluate, Iterate
Q18: What are common challenges when integrating AI into product management practices? (Select the correct two)
A) Not enough automation
B) Data quality and availability
C) Change management
D) The uncertainty around AI
Answer: B) Data quality and availability, C) Change management
Q19: What is a product-led organization?
A) A company that prioritizes the product team in all strategic decisions and planning
B) A business that rallies the entire company around the product so each team can leverage it to achieve their most important outcomes
C) An organization with a larger-than-average product team
D) A company that sells software or physical products
Answer: B) A business that rallies the entire company around the product so each team can leverage it to achieve their most important outcomes
Q20: Which of the following is NOT a benefit of AI in a product-led organization?
A) Helping humans be more effective
B) Getting smarter
C) Meeting deadlines quicker
D) Improving product delivery
Answer: D) Improving product delivery
Q21: What is one reason why the product manager is the key to the success of AI features?
A) The product manager controls the roadmap
B) Product managers talk to customers the most
C) AI isn’t useful unless a product manager can monitor it
D) Product managers know the product and its features best
**Answer: D) Product managers
know the product and its features best**
Q22: Which of the following is a way product managers can utilize AI?
A) Faster page and feature tracking
B) Creating in-app copy
C) Optimizing the product roadmap
D) All of the above
Answer: D) All of the above
Q23: How can AI support the fourth characteristic of product-led organizations, which is that they have amazing onboarding?
A) Teams can use AI to generalize their onboarding flows and create a single experience for all users
B) AI tools can predict how users will move through onboarding flows and update in-app onboarding in real time
C) AI can speed up the onboarding process for new users
D) AI can analyze user behavior to identify engagement patterns and proactively suggest features to highlight during onboarding
Answer: D) AI can analyze user behavior to identify engagement patterns and proactively suggest features to highlight during onboarding
Q24: How can product managers leverage AI in the Launch phase of the Product Management Life Cycle?
A) AI can collect feedback from users in real-time and feed that information back to the product manager
B) Product managers can use AI to conduct a controlled rollout of new functionality based on usage and feedback from users
C) An AI tool can determine what a product manager should name a product or feature before launching it
D) Product managers can’t leverage AI in the Launch phase
Answer: A) AI can collect feedback from users in real-time and feed that information back to the product manager
Q25: Which of the following is NOT a question that should inform your future product strategy tied to AI?
A) What completely new additions to your product are now possible?
B) What areas of your product need to change?
C) What does the customer success team think you should build?
D) What areas of your product will remain?
Answer: C) What does the customer success team think you should build?
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