Artificial Intelligence Governance Professional AIGP Exam Questions
Preparing for the AIGP exam is simple with CertsPoint. We offer easy-to-understand study materials that help you learn the most important exam topics. You can study using our PDF questions, practice online with a real exam-style test, or use the desktop practice software. Choose the study method that works best for you and prepare at your own pace.
At CertsPoint, we keep our AIGP practice questions up to date. Whenever the exam syllabus or objectives change, we update our study materials so you always learn the latest topics. This helps you save time, avoid outdated content, and feel more confident when you take your exam.
A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address.
If they want to make this self-driving car ''strong'' Al, as opposed to "weak,'' the engineers would also need to ensure?
Correct Answer: A
Strong AI, also known as artificial general intelligence (AGI), refers to AI that possesses the ability to understand, learn, and apply intelligence across a broad range of tasks, similar to human cognitive abilities. For the self-driving car to be classified as 'strong' AI, it would need to possess full human cognitive abilities to make independent decisions beyond pre-programmed instructions. Reference: AIGP BODY OF KNOWLEDGE and AI classifications.
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
The use of paid generative AI public tools is appealing because?
Correct Answer: A, B, C
Paid public generative AI services can be attractive because organizations can adopt them rapidly without developing and maintaining foundational models themselves. Commercial offerings may also provide organizational privacy, security, access-management, and administrative controls beyond those available through basic public access, while centrally managed services can receive frequent provider-driven feature enhancements. These characteristics support A, B, and C. However, payment does not guarantee transparency into proprietary model architecture, training data, weights, or decision processes, so D is incorrect. Nor does a paid service eliminate concerns regarding training-data provenance, intellectual property, personal information, confidential prompts, data retention, or generated outputs; consequently, E is incorrect. AI governance still requires vendor due diligence, contractual safeguards, acceptable-use controls, security assessment, and continuing monitoring when organizations depend on third-party generative AI services.
================
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
Which of the following best describes data dependency with regard to an AI model?
Correct Answer: A, D, E
AI models are intrinsically dependent on the data used to train, validate, and test them. NIST specifically identifies AI ' s inherent dependence on training data and links model reliability to data quality and representativeness. Therefore, A is correct. Training-data characteristics—including modality, structure, features, quantity, and complexity—also influence the appropriate model design and architecture, supporting D. E is correct because biases, gaps, nonrepresentative samples, and other limitations in training data can become embedded in model behavior and subsequently affect outputs. Privacy-enhancing technologies may reduce privacy risks, but they do not define data dependency, eliminating B. Likewise, improving dataset size and quality can improve performance but does not remove the model ' s fundamental dependence on data, so C is incorrect.
================
Training data is best defined as a subset of data that is used to?
Correct Answer: A
Training data is used to enable a model to detect and learn patterns. During the training phase, the model learns from the labeled data, identifying patterns and relationships that it will later use to make predictions on new, unseen data. This process is fundamental in building an AI model ' s capability to perform tasks accurately. Reference: AIGP Body of Knowledge on Model Training and Pattern Recognition.
Which of the following Al uses is best described as human-centric?
Correct Answer: D
Human-centric AI focuses on improving the human experience by addressing individual needs and enhancing human capabilities. Option D exemplifies this by using virtual assistants to tailor educational content to each student ' s unique abilities and needs, thereby supporting personalized learning and improving educational outcomes. This use case directly benefits individuals by providing customized assistance and adapting to their learning pace and style, aligning with the principles of human-centric AI.